Study: Comprehensive Care Physician Model Reduces Hospitalization and Costs For High Risk Patients

The goal of the U.S. healthcare system, or of any healthcare system for that matter, is to achieve better outcomes at lower costs. Managing health care delivery is a complex task, and many physicians are increasingly relying on medical transcription services as well as outsourced solutions so that they can focus on their core tasks. Over the years, healthcare providers have experimented with different models of care delivery such as accountable care organizations and retail health clinics. New Medical recently reported on a new study which found that a comprehensive care physician (CCP) model could improve care while reducing hospitalization and costs for high risk patients. The study was featured in the May 20, 2018, New York Times Sunday Magazine.

CCP Model

A 2017 Harvard Business Review article reported that almost half of the nation’s health care spending is driven by the top 5% of the population with the highest spending, with the top 1% accounting for more than 20% of total health care costs. High risk patients have multiple chronic conditions and are often in intensive care units. They may undergo a slew of tests and procedures to manage their chronic conditions rather than to treat or prevent them. In addition to driving up costs, the report notes that repeated hospitalizations exhaust physiologic reserves, leaving patients at a higher risk of early readmission and mortality.

The CCP model could provide the solution to this complex problem, according to a new study from the University of Chicago Medicine. The study was led by David Meltzer, MD, PhD, professor of medicine at the University of Chicago and chief of hospital medicine.

In the comprehensive care model, physicians focus on patients at increased risk of hospitalization so that they can provide both inpatient and outpatient care to their patients. A CCP’s team includes nurse practitioners, social workers, care coordinators, and other specialists who can manage high risk patients. Each physician has a panel of about 200 patients at a time.

Between November 2012 and June 2016, the University of Chicago Medicine enrolled 2000 patients with chronic health problems in a clinical trial in order to assess an innovative method to reduce hospitalization. The key aspects of the research are as follows:

  • Most of the patients had been hospitalized at least once in the previous year.
  • All of the participants had Medicare coverage.
  • Half of the patients in the study were assigned to “standard care” by a hospital-based primary care physician who saw them as needed in the clinic, but did not directly supervise their care if they were hospitalized.
  • The other half was put under the care of one of five CCPs, who saw them in the clinic and also cared for them when they were admitted in the hospital.

The University of Chicago Medicine CCP model was designed to provide better care at lower cost. The goal was to determine if comprehensive care physicians (CCPs) could improve care while reducing hospitalization for patients at high risk of being hospitalized. The team’s pilot study found that:

  •  The CCP model improved the continuity of patient care during and after a hospital stay
  • It Strengthened the bond between doctor and patient
  • CCP patients also reported “a better experience” than those who got standard care
  •  The CCP arrangement was reduced health care utilization and expenses – hospitalization rates for CCP patients were 15 to 22 percent lower than for standard care patients
  • Patients put in the care of CCPs gave their physicians higher ratings on a patient satisfaction survey required for all hospitals by the Centers for Medicare and Medicaid Services
  • While the University’s standard care physicians scored quite well, in the 80th percentile nationally, the CCP doctors were in the 95th percentile.
  • CCP physicians were also ranked higher by patients dealing with mental health issues

The CCP model enhanced the doctor-patient relationship including trust interpersonal relations, communication and knowledge of the patient, which are all associated with lower costs and better outcomes.

The study authors concluded that this program “may improve patient experience and health status while substantially reducing utilization for patients at increased risk for hospitalization”.

The ongoing University of Chicago Medicine trial is enrolling patients who are predicted to spend an average of 10 days a year in the hospital. While many have chronic diseases, others are geriatric patients living in residence homes or patients with chronic kidney disease requiring regular dialysis treatment. The next phase of the study is the Comprehensive Care, Community & Culture Program (C4P), an expanded program aimed at addressing unmet social needs of economically and socially disadvantaged patients.

Other recent innovations in health care include retail clinics, urgent care centers, electronic visits, coaching navigators, and nurse practitioners directly visit a patient’s home. In Medicare’s accountable care organization (ACO) model, hospitals, medical groups and other providers agree to manage the medical care for a group of patients with the goal to improve care and reduce unnecessary spending. If successful, providers are entitled to keep a share of the savings.

With new health care models redefining the role of physicians and their staff, efficient support for electronic health record documentation is crucial to deliver quality care. Medical transcription outsourcing to a reliable service provider can meet this requirement.

Machine Learning In Healthcare Could Ensure Improved Patient Care

Technology has established an indelible presence across all industrial sectors, bringing numerous benefits along with it. Even solutions such as medical transcription services have witnessed innovative changes such as the HL7 interface that enables seamless integration with the physician’s EHR. Technologies such as voice recognition, patient portals, Health Information Exchange (HIE), Personal Health Records (PHR) etc have transformed the medical industry drastically facilitating improved quality patient care and outcome. Today, hospitals are turning to machine algorithms to fight fatal diseases.
Machine Learning
Clostridium difficile (C-diff) is a deadly bacterium that flourishes in hospitals and spreads via physical contact with infected people or objects. A 2015 study published in the New England Journal of Medicine points out that more than 450,000 people in the United States are infected a year by this bacteria, resulting in 29,000 deaths. This disease cannot be controlled by monitoring hygiene and warning signs. However, a patient’s risk of developing C-diff can be controlled using an algorithm that has been created based on machine learning. Erica Shenoy, an infectious disease specialist at the Massachusetts General Hospital and Jenna Wiens, a computer scientist and assistant professor of Engineering at the University of Michigan developed this algorithm to predict a patient’s chances of developing C-diff (CDI) infection. This algorithm is still in its experimental phase but both researchers believe that using the patient’s vital signs information and other health records, this algorithm may be able to predict his/her risk of developing this disease, and thereby control it. The researchers are trying to integrate this innovation into hospitals.
According to Zeeshan Syed, Stanford University’s Clinical Interference and Algorithms Program director, machine learning’s predictive powers are well recognized and it can be moved from labs to broad real-world applications.

The CDI Algorithm analyzed a wide range of data sets from 374,000 inpatient admissions to the Massachusetts General Hospital and the University of Michigan Health System. The data included patient records and lab results to details such as which bed the patient was in, how many people near them have been infected and so on. With machine learning these data are analyzed and warning signs like circumstances and details of medical history etc are extracted; and these details can help minimize the chances of being infected by the deadly disease.

In the healthcare industry artificial intelligence and machine learning is expected to first impact radiology and pathology. Machine learning programs would enable easy handling and analyzing of images like X-rays, MRI, PET and CT scans. Machine learning can now diagnose various types of cancer using photographs and also predict the risk of seizures.

Google research scientist Lily Peng developed a machine learning algorithm to identify a patient’s risk of diabetic retinopathy (DR) fromretinal scan. DR is a common side effect of diabetes which is often ignored. This innovation was developed due to increasing rate of DR. The rate of diabetes is expected to increase from 126.6 million in 2011 to 191 million in 2030, an increase of 51 percent. Peng’s team collected 128,000 retinal scans from various hospitals across India and the US and with a team of 54 ophthalmologists the scans were graded on a 5 point scale. Each image was reviewed by multiple doctors to balance individual differences of interpretation. The algorithm was trained on an initial data set with the diagnoses, and then tested on another set of data. There, the algorithm slightly outperformed the collective performance of the ophthalmologists. Now a group of Indian hospitals is testing this algorithm. The algorithm makes the results of scan images available immediately and a patient can be referred to treatment.

Heart failure is one of the most common causes of death in the US. Walter “Buzz” Stewart, vice president and chief officer at Sutter Health collaborated on various studies to address this problem. One such study done along with GeorgiaTech computer scientist Jimeng Sun helps to predict if a patient will have heart failure within 6 months based on 12to 18 months of outpatient medical records. These tools will help doctors provide customized healthcare. With algorithms helping to anticipate early stages of conditions like heart failure, doctors will be able to customize treatments for the patients depending on their unique circumstances.

Machine learning helps to improve treatment and diagnosis options. It is transforming the healthcare industry and changing the way doctors think about providing patient care and save lives. Healthcare will become increasingly data driven, and an increasing amount of data will be used to predict and treat various health conditions. Medical transcription companies providing EHR-integrated transcription have a significant role to play when it comes to compiling valuable data. The challenge in any data-driven research lies in ensuring that the data obtained is accurate and actionable. Data collected from various sources may vary by institution and that could affect what machine algorithms learn. An algorithm developed with data from one hospital/health system may not work well for another. Researchers will have to develop algorithms that can work across diverse healthcare systems.

How E-Health Helps to Improve Patient Care and Support

In today’s fast-paced world with the increasing need for speedy information sharing and flawless communication, all industries are in search of innovations to streamline workflow and assure quality service. The healthcare industry has also adopted new technologies such as EHR, speech recognition system and so on, and with reliable EHR-integrated medical transcription services, physicians can now maintain error-free medical records. E-health is also one such innovation that is now widely used in the healthcare industry. E-health refers to the use of information and communication technologies in health and health-related activities, which includes health education, health surveillance, knowledge management, research, telemedicine, digital health records, mHealth or mobile solutions and so on.

E Health

Healthcare practitioners are moving to a complete digital system to share patient information more easily and efficiently. E-health is a platform that allows to network and share information quickly among physicians. According to TarynSpringhall, editor at E-Health News, “In practice this encompasses many aspects of digital health, including electronic patient management system, digital health records, mHealth or mobile solutions and much more.” E-health focuses on both public and private use all over the world. It helps to connect health workers from remote parts of the world to advanced data centralization in the US. It covers almost all geographical and thematic areas where digitizing can be cost-effective.

Ms. Springhallsays that “regions like UK, US and Europe have made advances in incorporating e Health as a key part of health system. What we see as a common thread between those different countries is political leadership to move from paper-based systems to digital ones. Reforms like the Affordable Care Act, Meaningful Use program and the UK’s Personalised Health and Care 2020 are about leveraging public health data, reducing waste and costs, relooking at reimbursement models, filling gaps in infrastructure and alleviating some of the burden on healthcare workers.”

The healthcare sector does face some challenges such as poor training opportunities, lack of skilled medical professionals and skilled specialists among others. But E-health could help to overcome these shortcomings. It provides access to quality care and is not limited by geography, improves patient access to care, and ensures more productivity.

Global E-Health Market 2018 to 2025

Market Insight’s research report “Global E-Health market 2018 to 2025” focuses on market events like product launches, mergers and acquisitions, new business strategies and other technological developments by major market players in E-Health. The report analyzes the market size (revenue), market segments, and market share for the next five years. The global E-health market is expected to rise considerably during the period 2018-2025.

From the year 2000, health services in both developed and developing countries are widely using information and communication technologies (ICTs). The factors that contribute to the growth of the E-Health market are better electronic communication with great speed, connectivity, better access and wide range of electronic communication over time and location constraints. According to the report, mobile health (Mhealth) is also expected to grow due to rising consumer demands to access their healthcare providers and increased need for transparency in healthcare. The usage of Remote Health Monitoring Devices is increasing. It is an extension of the digital transformation of the healthcare industry that helps medical businesses to expand, and insurance companies to engage with patients by providing better service.

Any kind of digital innovation that can support more efficient patient care and reduce workload for healthcare providers is a great boon for the healthcare sector. Practitioners who prefer medical transcription outsourcing for accurate documentation also look for medical transcription companies using the latest technology to ensure efficiency and accuracy. E-Health is an innovative solution for the healthcare industry and a great support for aging societies and people who suffer from chronic diseases to access better patient care. Innovations such as these must be accompanied by proper training and support in implementation if users are to receive the full benefits. In addition, confidentiality and privacy concerns must also be addressed effectively.

Audio Recording Patient Conversations – New Technologies Posing Data Security Risks

The increasing use of smartphones has made it easier for patients to record their physician office visits with or without permission. Last year, our medical transcription company reported that this practice is on the rise across the U.S. The law on recording clinical encounters varies across states with some requiring all parties to grant consent, and others requiring only one-party consent.
Today, many physicians are recording their medical conversations and encouraging patients to review them at home. However, a recent Stat News report says that the rising influence of artificial intelligence (AI) and new technologies for recording of patient conversations potentially poses new risks for patients and caregivers.

Audio Recording

Recording clinical encounters offers several potential benefits:

  • Reviewing the recordings at home after the visit can help patients remember what was said. This could improve physician-patient communication.
  • Listening to the conversations can improve understanding of instructions, which would improve adherence to treatment regimens.
  • Patients can share the conversations with their family, which may improve engagement with their support networks.
  • Can help validate informed decision making.
  • Can serve as evidence of high-quality care

A study published last year in the journal Health Expectations suggested that recording office visits may help rural, disadvantaged individuals feel less marginalized when seeking health care.
With the practice of recording clinical encounters becoming widespread among patients as well as providers, tech giants such as Google, IBM, and Amazon have come out with automated speech-to-text tools that automatically transcribe audio recordings, making it easier to upload them into electronic health records (EHRs). Providers can visit them for to gain insights about specific diseases and the most effective communication practices.

Google’s offers two electronic health record (EHR) speech recognition tools for medical conversations: a Connectionist Temporal Classification (CTC) phoneme-based model and a Listen Attend and Spell (LAS) grapheme-based model. These natural language processing systems are aimed at addressing physician EHR data entry concerns and improving care.

The IBM Watson speech-to-text service supports eight audio file formats at varying compressions. It can identify what is being discussed and quickly transcribe it in real-time.

Amazon Transcribe is also designed to facilitate easy conversion of speech to text. It uses deep learning to automatically generate text with punctuation and formatting, so that the output is more intelligible and can be used without any further editing.

Dartmouth Institute researchers are working to create an Open Recording Automated Logging System (ORALS), an artificial intelligence-enabled platform to facilitate routine audio recording of conversations between clinicians and patients. ORALS uses natural language processing to automatically label aspects of the conversation considered highly valuable for patients. Patients can review the transcribed text of the visit at home and utilize sections marked as “diagnosis” or “medication protocols” to review important details.

However, even as many health care providers are using them, the Stat News report says that these speech recognition and automated medical transcription service tools pose several risks with regard to cybersecurity and patient privacy, such as:

  • There is confusion over the ownership of the data. In some states, the physician’s practice owns the actual medical record, but many states there is no clarity in the law on this matter. In New Hampshire, the medical record is deemed to belong to the patient.
  • Patients’ smartphones could be storing highly sensitive data, increasing vulnerable to hacking, that is, digitally recoding physician visits on their phone could jeopardize their protected health information (PHI).
  •  Although laws like HIPAA protect patients from disclosure of their medical information by providers, patients can share their health information as they wish and publicize recordings of their clinical encounters via social media.
  • How the data is used, that is, whether the patient data could be utilized in ways that could be detrimental to physicians and patients – for example, could a third-party vendor of the technology access the information and use it for advertising purposes or allow the information to be shared, intentionally or unintentionally, with organizations that may use it to pursue their own goals
  • Patient data is valuable, and fetches huge sums on deep internet black markets

According to a new paper published in The BMJ, as of now, at least 1 in every 10 patients has recorded a doctor’s visit. The researchers support the broad implementation of audio recording in healthcare as it could greatly benefit both patients and clinicians. However, the authors point out that as risks also exist, there should be clear principles to guide the collection and use of recordings must be established.

Some institutions that recording clinical conversations on a regular basis are deliberately keeping it low-tech and away from artificial intelligence applications, notes Stat News. Many still rely on dedicated HIPAA-compliant medical transcription services to convert audio and video recordings of the office visit to EMR-friendly documents.

New Reports reveal MHealth is a Game Changer in Patient Care Delivery

Outsourcing medical transcription can ensure error-free electronic health records (EHRs). mHealth or mobile health literally puts this patient information in the provider’s palm. Recent reports show that mHealth is a game changer in patient care delivery.

MHealth

According to the World Health Organization (WHO), mHealth is “the medical and public health practice supported by mobile devices, such as mobile phones, tablets, patient monitoring devices, personal digital assistants (PDAs), and other wireless devices”. The 2018 Physicians Practice Mobile Health Survey has revealed the growing support for mHealth among physicians and practices. Of the 187 respondents:

  • 75.9% said they use mobile health (mHealth) in their practice on a weekly basis
  • 69% of respondents use mHealth for staff communication
  • 51.1% use it for patient communication
  • 46.6% use it for education on clinical issuesThese results are not surprising since using mobile devices in healthcare offers many benefits for providers as well as patients:
  • Improves coordination with patients: Mhealth allows physicians and nurses to coordinate better with the patient about diagnosis, medication and the follow-up process. Patients can be sent reminders about when and how to take medication, prescription refills, and daily messages that ask whether certain medications have been taken. This reduces the risk of non-adherence as well as medical errors due to poor communication on prescriptions and other matters. Systems like Skype combine calling, texting, paging, screen sharing, video chat, improving productivity and minimizing communication errors. As a Keys Harbor Technologies report notes, such point-of-care coordination is having a favorable impact on patient recovery and decreasing the number of re-admissions.
  • Improved access to patient data and other relevant information: Healthcare providers can access medical records anytime and anywhere using mobile apps. With data flowing seamlessly through the network, physicians and patients can better coordinate care and ensure that important information is shared with the persons that need it.
  • Improves care delivery via direct patient management: Mobile health has transformed care delivery. Physicians and nurses can use phones, tablets and wearables to check up on patients directly and maintain patient logs. Mobile communication apps can be used to train family members on certain aspects of care. These applications have greatly improved quality of care.
  • Enhances communication among providers: Smooth communication among health care professionals is an essential component of quality care. This is especially important when a patient’s healthcare team is spread across multiple medical facilities, making care more complex. Medical providers need an effective platform to communicate with each other and mHealth fills the gap. Physicians Practice reports that ProHealth Care, a health system in the Waukesha, Wisc. Area uses mHealth for such communication. Nurses on the care team use an app to communicate via secure voice and texting capabilities. The app also has a robust directory, allowing the nurses to add members of the patient’s care team who need to be contacted.
  • Better time management: Mobile devices allow physicians to work on the go. With a tablet or smartphone, they don’t need to rely on a desktop computer to find patient information. Similar to outsourced medical transcription services, mobile health boosts physicians’ efficiency and frees them up to focus on what they do best: provide patient care. By helping physicians manage their schedules more easily, mHealth also plays a role in reducing physician stress and burnout.
  • Can help address the physician shortage problem: The Advisory Board recently reported on a new study which highlighted the roleof new technological innovations such as mobile health apps in addressing the nation’s physician shortage crisis. According to the authors, adopting new technology is a key strategy for physicians to increase access to care and reduce administrative burdens. Mobile apps are helping physicians improve productivity and treat more patients.
  • Improved diagnosis: A 2017 mhealthintelligence.com reported on how new mHealth technology is aimed at making the “lab-on-a-smartphone” a common tool for detecting and treating diseases.University of Illinois researchers have developed a camera that could significantly improve a smartphone’s diagnostic capabilities.Fitted into a smartphone, the technology would allow users to conduct multiple medical tests conventionally done in a lab, to identify biomarkers for nutrition, cardiac health, sepsis, cancer, pregnancy, drugs, hormones and infectious diseases. When linked to a smartphone app and the cloud, the app will enable the userto communicate in real-time with clinicians and specialists.
  • Convenience for patients: Mobile communications are convenient for patients who would need to travel long distances to get to a practice. Routine follow-ups done through mobile do away with the need for that commute. In fact, the 2018 Mobile Health Survey confirms mHealth is much more popular than telemedicine – while only 4.8% of mHealth-using practices said they engage patients through telemedicine, up to 41 percent reported using secure text messaging and 38.6 percent, the patient portal.

However, the Mobile Health Survey reported that some providers cited security concerns as the reason for not adopting mHealth adoption. The Food and Drug Administration (FDA) monitors mHealth medical apps similar to medical devices. Due to uncertainty regarding the FDA’s definition of an app that meets mHealth criteria and absence of evaluation of these apps from the clinical point of view, several health care stakeholder groups, led by the AMA, American Heart Association, HIMSS, and others, have started a collaborative initiative called Xcertia. The goal is to develop guidelines to help clinicians evaluate mHealth apps based on content, privacy, operability, and security.

Market research firm Technavios predicted that the global medical transcription IT spending market will grow at a CAGR of 6.48% during the period 2016-2020. The use of mobile health solutions is a growing trend. Mobile access is allowing clinicians to review, edit and approve the EHR notes provided by medical transcription service providers anywhere and anytime. As health IT evolves, medical transcription companies will continue to focus on meeting providers’ requirements by providing quality documentation solutions to improve the delivery of care.

How to Improve Cost of Care Conversations with Patients

Conversations with PatientsWhile providing quality care, today’s physician has to deal with a host of challenges – from increasing regulations, electronic health records, and prior authorizations to managing payer and patient requests, fighting burnout, and much more. Outsourcing medical transcription and revenue cycle management helps when it comes to dealing with documentation tasks and billing. However, conducting cost of care conversations is one thing that continues to be a challenge for most physicians.

According to a 2017 Kaiser Family Foundation report, the price of health insurance premiums has increased by 55 percent over the past decade. As patients are facing greater out-of-pocket expenses and more high-deductible health plans, they are demanding greater transparency around healthcare costs. In fact, cost transparency has become one of the most important topics in healthcare. SeemaVerma, Administrator According to a recent revcycleintelligence.com report, CMS administrator SeemaVerma says that the patient experience should mimic that of other industries when it comes to price transparency and the ability to compare services.

“If you’re buying a car or pretty much anything else, you’re able to do some research,” says Verma. “You’re able to know what the quality is. You’re able to make comparisons. Why shouldn’t we be able to do that in healthcare? Every healthcare consumer wants that.”

Physicians need to know how to conduct cost of care conversations effectively. However, both physicians and patients face certain challenges when it comes to discussing costs of care. Let’s look at the barriers from the provider’s point of view.

  • Costs depend on various factors that are not easy to calculate: Calculating a fixed price for patients when they seek healthcare services is difficult as actual costs of care are based on several factors such as wages and labor, pharmaceuticals, medical instruments and other supplies. Patient characteristics also play a role in determining healthcare prices. For example, a patient with several chronic conditions or complications may require additional services and, therefore, incur additional costs compared to a healthier person.
  • Lack of awareness about patients’ insurance: Physicians are unlikely to be aware about the details of a particular patient’s health plan. A paper published by the American Medical Association in 2015 noted that this may impede discussions on costs of care. The setting or location of the health care good or service are also factors determining costs. For instance, Medicare deductibles vary for acute hospitalization and for emergency department care if the patient is not admitted, or is ‘kept under observation’. The study notes that in such situations, the physician may not be able to predict what a given patient will pay for a particular intervention or treatment episode.
  • Prices vary among insurance companies: Hospitals have a chargemaster with a comprehensive list of all the items billable to a hospital patient or a patient’s health insurance provider. However, though physicians may have access to their hospital’s chargemaster, actual charges will vary by payer. Insurance companies negotiate prices with providers, and so the costs for the same procedure can differ considerably for patients covered by separate payers, even if they are at the same hospital. Therefore, chargemaster prices are problematic to give to consumers because they rarely pay that price.
  • Cost of care discussions are also challenging from the patient’s perspective: The Healthcare Financial Management Association (HFMA) reports that surveys reveal that, though they want financial information from physicians, patients arehesitant to talk money.
  • Time constraint: One reason why patients are hesitant to bring up the subject of cost is the limited time available for such discussions during the office visit.
  • Social stigma: The HMFA report also notes that many patients are embarrassed to talk about financial strain. Those with the largest out-of-pocket costs are those in the high income bracket. They have private health insurance that includes a high deductible.

According to report published by the Robert Wood Johnson Foundation, many patients feel that physicians will be unhelpful in reducing costs. They believe that discussing high costs of care is futile because nothing can be done about it.

Finally, there’s concern that bringing up the subject of costs may lead to lower-quality care. The specific challenges that low-income patient populations can face when discussing cost include greater financial limitations, difficulties in accessing or utilizing transparency tools, and lack of trust in the health care system.

With the focus on value-based care and the increasing demand for price transparency in the face of rising out-of-pocket costs, it is critical for physicians to learn how to conduct or improve cost-of-care discussions with patients. Not having such conversations that could help reduce out-of-pocket burdens could lead to non-adherence to prescribed regimens or treatment regimens because patients cannot pay for them.

The study that Avalere conducted for the Robert Wood Johnson Foundation, made the following recommendations to overcome the barriers to successful cost-of-care conversations between clinicians and patients:

  • Patient education: Clinicians should educate patients on cost concerns as this will benefit both patients and physicians.
  • Tools and resources: Physicians should have access to analytical tools to better identify and target patients who are under-insured or low-income or those with low health literacy as cost-of-care conversations are critical for these groups.
  • Conversations with PatientsImproved workflow: Integrating clinical and financial information systems may enable physicians to identify opportunities to engage in cost-of-care conversations, and feel more confident of providing patients with viable financial solutions.
  • Training: Physicians may benefit from education programs on how to use financial tools in a clinical context for significant patient conversations.
  • Measurement: With the emphasis on quality of care, physicians should be able to facilitate cost-of-care conversations that reduce clinical costs and improve the healthcare experience.
  • Synergy and scaling: Clinicians must make cost conversations an integral part of their practice to create a holistic care system that serves the individual as both patient and consumer.

RWJF suggests four strategies physicians can discuss with patients to help lower costs without changing the care plan:

  • Changing the timing, source, or location of care
  • facilitating co-pay assistance
  • providing free samples; and
  • changing/adding insurance plans

CMS’ latest initiative on promoting health care price transparency is requiring hospitals to post a list of their standard charges online. As providers focus on conducting meaning conversations with patients on costs of care at the office visit, they can rely on experienced medical transcription companies to manage their EHR-related documentation tasks. Quality documentation is necessary to ensure that patients receive the best available care.

Can Outsourcing Documentation Support Reduce Physician Burnout

Outsourcing DocumentationPhysician frustration and burnout is a real problem in the post EHR scenario. Though the Electronic Health Record (EHR) can transform the way physicians treat their patients, they are seen taking a toll on the providers. Why are physicians frustrated? Simply put, with better healthcare options available now, people are living longer and contributing to the increasing number of patients. There are many patients living with many more chronic illnesses and this translates to each patient having more health issues that must be addressed in a given visit. The main reason why many doctors are tired and frustrated is the electronic medical record. They are overwhelmed by the increasing and more arduous documentation requirements. In her post in nytimes.com, Dr. Danielle Ofri puts it this way, “To be sure, keeping electronic records has benefits: legibility, electronic prescriptions, centralized location of information. But the E.M.R has become the convenient vehicle to channel every quandary in health care. New state regulation? Add a required field in the E.M.R. New insurance requirement? Add two fields. New quality-control initiative? Add six.” So, the question is, can outsourced documentation support or EHR-integrated medical transcription services help to reduce physician frustration and burnout? It could, going by the fact that EHR documentation is a major stressor for physicians.

Major Reasons for Physician Frustration

Burnout is a serious concern. It makes physicians cynical or even negative toward patients, makes them emotionally exhausted, dissatisfied and could ultimately lead to lack of enjoyment in their job and lack of empathy for patients. There are personal and organizational elements that have a role to play in physician burnout:

  • Lack of control over work conditions
  • Financial problems
  • Lack of time
  • Inefficient and frustrating work environment
  • Often their concerns/requirements are not taken into consideration
  • Difficulties adjusting with or adopting new technologies including EHR
  • Diverging values as regards mission, purpose, and compensation between physicians and their business leaders

How Outsourced Solutions Could Help

Our focus in this article is on the burnout caused by EHR technology. The electronic medical record has relegated the patient to the background and brought the documentation giant to the forefront. Typing all details into the EHR has become a mammoth task that has transformed providers into data entry people. And, that is the main concern for many doctors who feel that such heavy documentation that pushes the patient away from the provider could compromise patient safety.

How to reduce physician stress from EHR via documentation support?

Outsourcing Documentation

  • Opt for EHR-integrated medical transcription provided by a medical transcription company: Physicians are used to dictation as the standard documentation form for patient encounters and other medical charting needs. By integrating medical transcription with their EHR software, physicians can continue to dictate their notes and professional transcriptionists will enter patient data directly into their charts. Steps include:
    • Physicians dictate their notes using a phone, digital dictation device, or app.
    • Medical transcriptionists will complete the transcription quickly.
    • They ensure that the dictated data is correctly entered into the chart. Medical transcriptionists are trained to use the EHR templates, thus reducing point-and-click work for physicians.

    If the physician/hospital system prefers to use voice recognition software-integrated EHR, medical transcription companies provide proofreading services. In this case, a medical transcriptionist would review everything documented by the physician to ensure accuracy. All grammar and punctuation errors are corrected, and they also make sure that the data was entered into the correct data field.

    Such an integrated model ensures quick and accurate medical records. There is minimal risk for errors, claims, and litigation. By using dictation, physicians save on the extra time they get to spend with their patients, and patients are happy that their doctor is maintaining eye-to-eye contact.

  • Using a scribe program: Another option is to use a medical scribe who can accompany the doctor on her rounds and take down notes. Scribes can also be in the consultation room and help with EHR documentation.
  • Deploying artificial intelligence (AI): Artificial intelligence solutions provide real-time intelligence and decision support and many large health systems are planning to deploy it in the near future. These solutions are expected to improve the quality and speed of capturing patient encounters. Physicians hope that accurate documentation will be made of all the details necessary to describe the level of medical complexity and care provided to each patient. Alongside, physician burnout can be reduced by relieving the stress associated with creating a complete patient story on the EHR.

Any kind of documentation support is undoubtedly a great stress reliever for physicians. As earlier, medical transcription companies can continue supporting doctors, as well as small and large healthcare systems. Accurate medical documentation is of prime importance with regard to patient care and safety. Moreover, it is also vital from the point of view of accurate medical billing and reimbursement.

How Cognitive Computing in the Healthcare Industry Can Help Improve Patient Care

Technological advancements in the healthcare industry have enabled physicians and other healthcare providers to better diagnose and treat their patients. The healthcare sector has undergone various technological advancements over the past few years with EHR implementation, voice recognition technology etc that have enhanced the workflow in every healthcare unit. Along with other healthcare entities, medical transcription companies are also harnessing the power of innovative technology to ensure timely and accurate documentation. The focus is now on improving quality while reducing documentation time. With advanced technology, the transcription, transport, workflow, delivery and safe storage of medical records can be carried out without any hindrance; it also facilitates continuous workflow.

Cognitive Computing

The latest advancement in the field of healthcare is cognitive computing. It is a self-learning system that uses data mining techniques, pattern recognition, natural language and human senses processing, and system refinements based on real time acquisition of patient data and other information. Cognitive computing is transforming healthcare delivery all over the world, and these systems simulate human thought process using computerized models. On a global level, these computing systems have been instrumental in deciphering the huge volume of healthcare data. Along with NLP (Natural Language Processing) systems, data mining and machine learning technologies, cognitive computing helps expand the knowledge of clinicians in designing personalized treatment modules. It has also improved patient engagement and access to healthcare services.

IDC says that 30% of healthcare service providers use cognitive analytics on patient data to derive meaningful insights. Considerable market expansion of AI or artificial intelligence is predicted for the healthcare industry in the next few years. This is expected to reduce medical treatment costs by nearly half, says market research and analysis firm Frost and Sullivan. Modern technologies allow physicians to better understand what tests are to be carried out to better understand the patient’s health issue, diagnose further problems and illnesses if any, find suitable solutions and provide the best care. Organizations can determine which patients are at higher risk of contracting a certain disease or health condition. Post-discharge outcomes can be kept under control, and the number of re-admissions can be reduced significantly. Diagnoses will be quicker because computers and machine learning algorithms are good at understanding and recognizing patterns which is very important in diagnostics, and patients can immediately know what they are suffering from and what action they need to take next.

Advantages of utilizing cognitive computing for healthcare include the following:

  • Speed up medical research: Huge amounts of data can be easily analyzed and the information can be kept up-to-date and relevant. Practitioners can develop the proper insight and practical applications, which can be used to provide the best quality patient care.
  • Customize patient care: Physicians can provide their patients the level of care that their conditions require and plan treatments that are most effective. They can identify preventive methods that will help minimize potential health risks.
  • Improve daily processes: Cognitive computing can help practices optimize their operational and clinical efficiency. The right technology and optimum healthcare delivery services will enable you to analyze patient information and still ensure enough time for your staff to take care of your patients.
  • Encourage healthier patient behaviors: With cognitive computing, you can determine important findings that will help you prescribe healthy habits for your patients. Data regarding disease projection is your strength and you can use it to convince your patients to take better care of themselves.

Increased Demand for Global Cognitive Computing in the Healthcare Market: 2017-2025

The exponential rise in healthcare data and information from a diverse range of sources and the pressing need to tap them for enhancing quality of care in various parts of the world is the major factor that contributes to the increasing demand for cognitive computing system. The growing popularity of AI, IoT and wearables and the staggering demanding for cloud computing models are significant factors expected to provide substantial boost to cognitive computing in the healthcare market.

According to www.transparencymarketresearch.com, the market is expected to witness huge investments in developing good and useful cognitive technology platforms for the healthcare industry. Prominent players are focusing on launching unified platforms with simplified APIs to help end users leverage the potential of machine learning systems. Key players operating in cognitive computing in the healthcare market include Apixio, MedWhat, Healthcare X.O, Apple Inc, Nuance Communications INC, Google LLC, Microsoft Corporation and IBM Corporation.

North America is one of the prominent markets for cognitive computing for the healthcare industry. The demand for cognitive solutions and services can be attributed to the extensive demand for such systems among healthcare professionals and providers. Asia Pacific is projected to rise at a prominent pace. The attractive growth of the market is fueled by increasing investment made in the healthcare sector on the uptake of automated information technology systems.

The report offers a comprehensive evaluation of the market. It does so via in-depth qualitative insights, historical data and verifiable projections about market size. The projections are derived using proven research methodologies and assumptions. By doing so, the research report serves as a repository of analysis and information for all facets of the market.

Compiled through extensive primary and secondary research, the report also features a complete qualitative and quantitative assessment by analyzing data gathered from the industry and market participants across key points in the industry’s value chain.

Advanced technology brings benefits to all stakeholders in the healthcare sector including medical transcription outsourcing companies serving physicians and hospital systems. With the healthcare sector evolving continuously, it is necessary to keep up with all technological advances to ensure the best care and service to patients and other healthcare consumers.

Why Is Online Self-Diagnosis Not Always a Good Thing?

Medical transcription outsourcing helps physicians to precisely document the office visit and other types of encounters, and focus on diagnosis and treatment. Early diagnosis and prompt treatment are key for the patient as it promotes quick return to health. The costs of a wrong diagnosis can be devastating. This is what patients risk when they search online and self-diagnose. However, according to a recent TIME magazine report, physicians have come to accept that patients will do some online research on their medical symptoms.
Why Is Online Self-Diagnosis Not Always a Good Thing?
The number of people who turn to Dr. Google for medical advice has increased over the years. A 2012 Pew Research survey revealed that six-in-ten (59%) Americans used the Internet to look for health information. It was found that people went online most frequently to look up information about a specific disease or medical problem (63 percent) or a particular medical treatment or procedure (47 percent).

Don’t be Led Astray

Physicians tellpatients who search online for health information not to be led astray:

  • Not all online resources are good: TIME cites Dr. Michael Munger, president of the American Academy of Family Physicians as saying that information does improves overall collaboration between patients and their physicians and care teams. However, patients should know that some of the resources available on the Internet are good, but others cannot be relied upon.
  • Digital diagnosing tools cannot always provide the correct diagnosis: The most commonly searched symptoms in the WebMD’s checker include bloating, cough, diarrhea, dizziness, fatigue, nausea and headache, according to the website’s vice president of mobile products Ben Greenberg. A 2015 Harvard Medical School study that tested leading symptom checkers found that only half the time did digital diagnosing tools provide the correct diagnosis as one of the top three possibilities based on the symptoms people searched.
  • People should be cautious about interpreting results provided by digital tools: The Harvard Medical School team noted that symptom checkers matched the physicians’ advice 57% of the time when it came to advice on whether people should see a doctor or go to the emergency room immediately because their complaints were serious, or if they could wait to do so. But the researchers say that while people can use symptom checkers to get more information about their health, they should be cautious in terms of interpreting the results.
  • Online health research breeds cyberchondria: According to Microsoft Research, cyberchondria is defined as “the unfounded escalation of concerns about common symptomatology, based on the review of search results and literature on the web.” Sites providing inaccurate information often link to other sites that reinforce these misconceptions and rumors with disastrous consequences. Cyberchondriacs spend sleepless nights worrying about dangerous diseases they’ve learned about through web searches, according to a Mashable report. Patients who self-diagnose using the Internet should know that many diseases have common signs and symptoms. Physicians rely on these symptoms as well as their clinical expertise to make a correct diagnosis.

Online Health Research can be Useful

However, when practiced responsibly, online self-diagnosis and medical research can provide many benefits for both patients and physicians. Research published in the Journal of Participatory Medicine found that while self-diagnosissimultaneously threatens medical authority, it can enhance the potential for self-care, compliance and convenience.Here’s what patients should know about using online health research tools:

  • Symptom checking tools are improving: The TIME report notes that symptom checkers have improved over time and provide results only if users provide more specific information. The symptom checker of the American Academy of Family Physicians requires people to answer additional questions on their general symptoms to come up with the most likely reason for their health complaints. WebMD’s new symptom checker version relies on the same algorithm that doctors use in evaluating patient symptoms come up with a diagnosis. The site uses age and gender information order to further triage medical conditions that may be the likely cause of the symptoms. It provides matches only when patients type in specific symptoms and not general ones such as fever or headache.
  • Symptom checkers can reduce the burden of overtreatment: These first-line triage systems help people determine if their concern is really serious and needs immediate care or whether they can wait a few days. This can help reduce the burden of overtreatment in the U.S. health system and reduce overcrowding in hospitals and physicians’ offices, while prompting those who need care to seek it right away.
  • Improves the consultation experience: Patients who use a reliable symptom checker before the office visit would have a better idea about their condition. Having a list of potential conditionsand directed questions ready when they come in for the consultation would improve communication. This can make for a more efficient consultation and also save valuable time for the physician.

Online Symptom Checkers cannot replace the Office Visit

Patients should know that symptom checkers and other tools are not meant to provide medical advice and are not a substitute for the physical office visit.Every individual is different and so are our responses to diseases. Physicians assess medical history, family history, risk factors, etc. as well as symptoms and relevant information and may perform various tests in order to diagnose conditions and provide treatment. Medical transcription outsourcing companies helps providers maintain accurate electronic health records, reduce risk of errors, and improve care coordination.

The bottom line: Online self-diagnosis and medical research can be successful only when practiced responsibly. Patients should be extremely cautious when consulting the web. While there is good information available online, there is also a lot of false and misleading content. Physicians need to educate patients on researching online for medical information and advise them to use only reliable websites. Patients should learn to distinguish between trustworthy and unreliable resources. Bringing along information gathered online to the consult and getting it reviewed by the physician can help verify its authenticity. Patients who self-diagnose should be made to understand the difference between the self-diagnosis and the actual diagnosis.

Research identifies Electronic Documentation as a Key Workflow Disruptor in the Emergency Department

The emergency department (ED) is a challenging and dynamic environment, with high volume, sick patients requiring time-critical care. EDs are also characterized by frequent distractions and interruptions. Outsourcing medical transcription is a practical strategy for emergency room physicians and staff to ensure accurate electronic medical record (EMR) documentation while focusing on care. Recent studies highlight the importance of such support.

Research identifies Electronic Documentation as a Key Workflow Disruptor in the Emergency Department

Researchers from the University of Missouri-Columbia identified the two major workflow disruptors in emergency departments (EDs) as electronic medical record documentation and direct patient care. The study which was published in the International Journal of Human-Computer Interaction, suggests that the care team’s efficiency and patient care could be improved by making changes in ED workflow.

ED charts should communicate to other health care providers what was done in the ED, including diagnostic tests, medical decision making, and treatments, discussions with patients and caregivers, consultants’ recommendations, the patient’s follow-up, etc. Everything that happened during the encounter must be recorded in the chart. In addition to supporting continuity of care, comprehensive ED documentation can serve as the provider’s best defense in the event of a bad outcome, patient complaint or lawsuit. Good clear documentation may help chart reviewers gather data to help devise methods to improve care in the future. ED charts are also of great value in quality improvement review and utilization management.

However, ED documentation is challenging as it is different from charts for other specialties in many ways. A Clerkship Directors in Emergency Medicine (CDEM) report identifies these differences:

  • Time constraints: In ED, time pressures limit the time available for documentation. As the physicians and nurses are busy, they may find it difficult to recall exactly what happened and when. Timely completion of charts is critical for accuracy.
  • Each encounter needs to be a standalone one: CDEM points out that each ED visit is both a “new patient encounter” and a “final encounter”. As such, each visit must be treated an isolated one and providers need to document extensive pertinent past medical information, while managing the issue at hand and making plans for admission or follow up.
  • Unique billing pattern: ED billing is different from that for other encounters. The charts are rated on a complexity level from 1-5, and each level has a list of minimum documentation requirements. Lack of comprehensive documentation can lead to under-coding and leave money on the table.
  • Limited information: CDEM notes that, in ED, medical decision making is often based on limited information. The chart should reflect the physician’s thought processes.
  • Rapport with patients: The ED chart is the only chance to reveal provider rapport with patient and family.

The University of Missouri researchers analyzed how brief interruptions affected nurses in the emergency department in the Mayo Clinic in Rochester, Minnesota. ED nurses’ most frequent tasks were categorized into eight, including direct care, documentation, social breaks, and other tasks including supervision and education. The study found that:

  • Phone calls, colleagues, residents, doctors and relatives of the patient were the five most common interruptions to the nurses’ work.
  • The interruptions in patient care activities resulted in a workload that was about two times higher than in a “non-interruption scenario”.
  • EMR documentation along with patient care tasks made the workload was about four times higher than when there were no interruptions.

The team used this information to develop two simulation models–one to show how workflow is efficient when there were no interruptions and the other to show the potential effects of interruptions on tasks.

The researchers recommended that ED nurses should be trained to avoid answering questions or non-emergency phone calls while delivering direct care to patients and while engaged in EMR documentation. They also said that relatives of patients should allow the health care worker to perform critical duties without interruption.

Other studies have also analyzed the use of electronic documentation in the ED. Last year, the American Medical Association (AMA) reported on a study which found that the implementation of a custom electronic documentation system in one ED reduced patient throughput. The study, which was published in the Annals of Emergency Medicine, found that:

  • The use of a custom electronic documentation system led to small but consistent increases in overall and discharge length of stay (LOS) in the ED.
  • Though the increase in LOS was small, it still played a significant role in a high-throughput ED
  • There was a 6.3-minute rise in LOS for patients treated and released and a 5.1-minute increase for discharged patients.
  • These increases could lead to decreased patient satisfaction and delays in care for time-sensitive conditions
  • There was no statistically significant change in time to disposition or LOS for admitted patients.

Extrapolated to the entire department, an “additional six minutes per patient encounter would add more than 16 hours per day for an ED serving 165 patients per day,” the researchers said. The findings of this study matched research which suggests that electronic documentation in the ED can be more time consuming than traditional paper charting.

The researchers called for new workflow strategies and technologies to mitigate these effects of implementing electronic documentation systems in the ED. The two specific interventions that the researchers identified as gaining prevalence are: the use of scribes and use of electronic dictation software. The study’s lead author stressed that both of these have the potential to improve completeness and efficiency of documentation and that they hoped to study the effects of these strategies in the future.

These recent studies emphasize the importance of documentation support for emergency room physicians and staff. Medical transcription outsourcing companies are well-positioned to provide such support. Established companies have teams of trained and experienced transcriptionists that can deliver accurate emergency room transcription service in custom turnaround time. Their services can go a long way in helping physicians maintain up-to-date electronic charts which is critical to improve efficiency and care.

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