Physician Burnout is a Multi-billion Dollar Problem – How Are You Solving it?

August 16, 2019/5912 views / 0 Comments/in BLOG, EHR, healthcare, Patient Experience, Patient Matching, Patient Safety /by Matt Gibson

Well, the cat’s out of the bag now. EHR (electronic health record) systems are not only causing problems for patients, insurance companies, and healthcare providers, but also among another critical player in the healthcare industry – the physicians. According to new research, this new problem – physician burnouts – are associated with EHR systems, and causes losses starting from $2 billion to an outrageous $6 billion annually. That is an obscene amount of money lost. Moreover, the researchers also gave an estimated amount of $4 billion lost due to lower productivity, physician turnovers, as well as other aspects relevant to burnout.

Other findings of the research demonstrate that a single physician employed by the healthcare provider generates an estimated amount of $7,000 in burnout costs per year for the hospital. However, that is an average estimate, as the cost can be as low as almost $4,000 and can go up to $11,000, depending on the severity of the issues they face due to the burnout.

It can be seen quite clearly as to how the physicians are being affected adversely due to these burnouts – reduced work-life balance, reduced wellbeing, tremendous workloads, which ultimately lead to more mediocre quality of healthcare for the patients, thus, a loss for everyone concerned. However, the holistic view of the economic problems physician burnouts can cause is yet to be seen.

But what is burnout? It is pent-up stress which is built over time and creates a sense of physical and mental tiredness, low levels of accomplishments, and monotony – all of which is generated from a lot of work-related factors, primarily EHR related ones.

Thanks to this research, it is now known that not only do burnouts cause damages to physicians and patients, but also the healthcare providers’ financials. According to the researchers, the study did not consider indirect burnout related costs like reputational damage, disruption, and so on – the costs which added up to $4 billion are directly related to physician burnouts.

However, a positive thing which can be taken away from this study is that the estimated figure it gave is quite lower than previously conducted studies. A 2018 report claimed that burnouts incur losses of around $1.7 billion per year, physician turnover costs are as much as $17 billion per annum, while nurse burnouts cost $9 billion per year.

Industry pundits estimate that almost half of the physicians suffer burnouts, with an AMA study claiming that 44% of physicians suffered from at least one symptom of burnout in 2017. Another aspect is physician burnouts influence some individuals more than the rest, citing that females are more likely to face burnouts as well as those individuals who are at larger, more prominent health systems since they face more pressure.

But why are the physicians facing such burnouts? Most physicians have reported that they have to click through the EHR interface thousands of times every day, going through several layers of EHRs, searching for patient data and matching them with the patients instead of focusing on the patients themselves and providing the services they signed up for. Thus, the immense pressure they face, especially if they are from larger, more complex health systems, as well as administrative tasks, all contribute towards physician burnouts and hampers patient care as well as the healthcare industry as a whole.

How does RightPatient fit here? Well, it matches the patients with their electronic health records, so that the physicians do not have to. RightPatient is a biometric patient identification system which uses iris scanning to detect the patients and match them with their proper EHR. Patient matching has never been easier, as all the patient needs to do is to look at the camera, and they are identified quickly. RightPatient integrates seamlessly with major EHR systems and thus is used by over a hundred health systems, effectively combating physician burnouts. It also reduces patient matching errors as well as enhances patient safety and reduces losses caused by burnouts as well as identification errors, as reported by its users.

Patient identification errors are the most common EHR generated issues

August 12, 2019/7486 views / 0 Comments/in BLOG, EHR, healthcare, Patient Experience, Patient Identification, Patient Matching, Patient Safety /by Matt Gibson

According to a recent survey, patient identification errors are the most common problems caused by EHRs; thus, jeopardizing patient safety and causing a rise in patient harm. This phenomenon is not unexpected, as there have been numerous cases, studies, and research stating the exact thing – patient identification errors cost organizations greatly.

Researchers who conducted this study did so with the claims submitted to official databases regarding EHR systems, and with this data, they detected the most frequent errors which cause patient harm and are directly related to EHRs.

According to the researchers, the information they found while carrying out the study was meaningful as it provided enough evidence to the fact that the usage of EHR systems has negative consequences. Also, the complaints they found showed that in extreme cases, EHRs could be correlated to severe consequences for patients, sometimes even resulting in deaths.

According to the study, 31% of claims consisted of medication errors, and the same number was found for claims regarding treatment complications. This can be traced back to patient identification errors – they are provided with wrong treatment plans or wrong medications thanks to either duplicate records or mix-ups. Another finding was that the number of errors occurring in outpatient facilities was higher than those occurring in inpatient services.

Another interesting fact is that in the study, these errors occurred due to human mistakes more than the errors caused by the system – 63% were user errors, while the rest were system related issues. Problems caused by the systems refer to several things like the general interface of the EHR, which can be clunky and unintuitive. For instance, there were numerous reports of physicians not being able to access the information on time which caused delays in treatment procedures. Human errors can range from creating duplicate records, as the hospital staff could not find the accurate medical record and created a new, redundant one, to misidentifying a patient and causing record mix-ups. In any case, regardless of the errors being caused by humans or the system itself, patient misidentifications are extremely dangerous and pose a threat to all individuals who are on the receiving end of healthcare services. This statement is supported by another fact – 80% of these EHR related errors caused severe patient safety issues. However, the researchers believed that the inpatient cases were more likely to be fatal when compared to the outpatient ones, citing that outpatient patients arrive with minor ailments in the first place, thus, are less likely to be harmed.

In the concluding part of the study, the researchers said that patient safety could be severely jeopardized at any healthcare setting and circumstance, especially if the patients are misidentified – only adding more complexities to deal with. Lack of interoperability, design issues, unintuitive systems, and lack of alarms over duplicate records only contribute to more errors.

So, how are health systems dealing with these patient misidentification issues generated by EHRs? Most of them are struggling with it. EHRs were introduced in the ‘90s and were made with the vision to go paperless and completely digital, improving the patient experience. While EHRs did accomplish some of those goals, it gave birth to duplicate records, mix-ups, and with no data standardization or interoperability, there seems to be no escape from this. Thanks to studies like these, this overlooked issue has grabbed the attention of most of the leading health systems of the US, and many are now clamoring for a solution or a unified patient identification system. While the latter is still far away from happening, the former is already available. Over one hundred health systems are using RightPatient – a biometric patient identification solution. It focuses on iris scanning to make sure that identification is hygienic (non-contact), quick, accurate, and easy to use; patients only need to look at the camera, and they are identified. The users are reporting promising results, like increased patient safety, enhanced patient experience, and reduced losses which previously occurred due to misidentifications and denied claims, creating a favorable environment and a win-win situation for all.

Patient experience in healthcare is vital for both hospitals and patients

August 10, 2019/6665 views / 0 Comments/in BLOG, healthcare, Patient Experience, Patient Matching, Patient Safety /by Matt Gibson

Patients are customers of the healthcare industry, and like conventional customers, they anticipate an improved patient experience – shorter wait times, accurate identifications, and more focus of physicians. However, emphasizing on patient experience is not only beneficial for the patients but also the health systems, as well. Let’s see how exactly this is true.

There’s a common saying in the healthcare industry – healthcare is continuously evolving, and those serving the industry need to be on top of the situation by adapting to the situation. This means that if health systems do not adapt to technologies improving the patient experience, they will lag behind. Just like customers, patients can shift to other health systems offering the best patient experience possible.

Because of this, several experienced personnel in the healthcare industry agree on two things which are common nowadays, regardless of these technological advancements – patients are the core of their care strategies and health systems are focusing on positive patient outcomes and patient experience in healthcare.

The changing landscape

As previously mentioned, the healthcare industry works almost like any other industry. Patients now have access to a massive amount of information with which they can make informed decisions regarding themselves or their close loved ones. Thus, patients have evolved according to the transformation of the healthcare industry. Thanks to digitization, they have become more knowledgeable, more informed, and are better prepared for decision-making compared to before. Patients interact with other sectors as well, daily, and from those interactions arise the expectations of superior customer (patient) experience from the healthcare industry.

How is the healthcare industry responding?

As the demands of the patients keep changing, many healthcare providers are tailoring their services accordingly to keep up with the formers’ expectations. Health systems are doing so by adopting the latest technologies available to meet the demands of the patients; for instance, using patient engagement apps to keep the patients connected and ensuring active participation from the patients’ ends and establishing loyalty among the patients in the process. This also generates in lower patient readmissions, as non-critical issues can be solved efficiently via the apps through communication between the doctors and patients, thus, better patient outcomes.

However, patient experience goes both ways. There have been multiple studies which refer to the positive correlation between patient experience and physician experience. The better the patient experience is, the better the physicians are motivated, as well. Also, physicians have had burnouts due to inefficiencies like clunky EHRs. The physicians reported that they would rather focus on their patients than look at the screen all day long and click the mouse a thousand times, which is the case every day for any given physician. Thus, removing such tedious tasks and improving patient experience can result in an overall better experience for all of those involved.

The multibillion-dollar question

There is another aspect of the patient experience which has been overlooked by many – patient misidentification. This is a massive problem of the healthcare industry, and the losses caused by it are unprecedented. Thus, it is aptly called a multibillion-dollar issue. However, it not only causes financial losses but also results in various degrees of problems for the patients, ranging from wrong treatment plans to even untimely deaths. Also, as previously mentioned, this is the aspect of healthcare which causes burnouts in the physicians – interacting with EHRs to identify patients, and sometimes it takes a long time to do so correctly.

Every day, we read an article about patient matching errors, how it impacts the patients, the health systems, and how big of a problem it is. Thanks to numerous studies, statistics, and facts, it is not sidelined anymore, as health systems are now clamoring for solutions to it. But is there an effective solution? There is, and it is called RightPatient. RightPatient is a biometric patient identification system which focuses on iris scanning to provide a safe, secure, and hygienic way to accurately identify the patients, as there is no necessity for physical contact and all the patient needs to do is look at the camera. Once a patient is registered in RightPatient, there are no chances for any duplicate records, as the data is linked to the EHR of the patient. RightPatient also seamlessly integrates with any significant EHR system and is effectively used by over a hundred hospitals to ensure patient safety, enhance the patient experience (which in turn improves the experience of all involved with patient identification), and cut losses caused by misidentifications.

What are health systems doing to improve the patient experience?

August 8, 2019/6073 views / 0 Comments/in BLOG, healthcare, Patient Experience, Patient Identification, Patient Matching, Patient Safety /by Matt Gibson

Unsurprisingly, there is a lot of competition present in the healthcare industry. To stay ahead, loyalty and patient experience are must-have attributes for any given healthcare provider. In some cases, healthcare can indeed be consumer-driven; for instance, take patient engagement. According to a recent study, patients are five times more likely to choose the health system with whom they have had positive experiences, rather than those who attempt to attract new patients with their marketing strategies. This study demonstrates that patient loyalty and positive patient experience are the characteristics to strive for, which is why healthcare providers are looking for strategies to improve the patient experience.

RightPatient improves the patient experience with accurate patient identification.

Thanks to many tools which are improving patient outcomes, patients today are anticipating effective and seamless patient experiences. However, these tools and strategies have to be patient-centric to be successful, as well as being competent enough to induce loyalty, and the most necessary characteristic is trust. Without trust, no health system can survive, let alone be successful, in the long run. Thus, healthcare providers are increasingly focusing on constantly revamping and helps to improve the patient experience.

Healthcare providers are improving the patient experience by focusing on the following.

Patient engagement technologies

Patient engagement is a buzzword recently, and everyone is pursuing ways to improve it within their health systems. Why is this so? Because it is one of the core characteristics which contributes to not only improving the patient experience but also assisting in patient retention. There are a plethora of solutions available in health systems under the umbrella of patient engagement, like health programs, surveys, participative courses, and so on. However, therein lies the problem – the solutions are many, and only a very few are effective as patients deem most as unnecessary and tedious. These are termed so by the patients because these tools’ functionalities are mostly unclear – many overpromise while delivering minimal benefits. To find patient engagement tools which are useful, health systems are diving deep into the technological side of the healthcare industry. Thus, active patient engagement is powered by technologies which help to connect the patients with their health systems seamlessly and assist the patients in leading healthy lifestyles.

Even though many would go for surveys, participative courses, and similar patient engagement strategies, research has shown that these are not very effective. Most of the time, patients are absentminded while answering, and as long as they do not see the potential benefits of these tools, they will not be interested in participating wholeheartedly.

On the other hand, there have been quite a few advancements in technologies which are helping to effectively engage with patients, such as patient retention apps like CircleCare. It is an app that helps patients stay connected to their health systems and doubles as a patient engagement platform. Once a healthcare provider registers with CircleCare, all it needs to do is refer the patient to download it and register. After that, patients can effectively engage in several ways with their health systems, and not only that, they can also work on leading healthier lifestyles. It can be used to track steps, schedule medicine reminders, record blood pressure, record glucose level, and exchange relevant health information with other individuals. It also helps them to stay connected to the physicians, so that if a problem arises, it can be solved outside the hospital’s premises as long as it is not critical. These functions help in cutting down hospital readmissions, as well.

Improving patient safety

Patient safety is currently one of the biggest concerns of the healthcare industry, especially those linked with patient identification errors. Recent surveys, statistics, and studies have shown that patient misidentification is a multibillion-dollar issue. Since the introduction of EHRs, things have gotten worse. To put things into perspective, the identification and correction of a single duplicate record cost around $1000, whereas if there are multiple records attached, it requires a whopping $5000 for any given health system! So, how are healthcare systems avoiding these patient matching errors? They are adopting technologies which are helping to eliminate these errors – solutions like RightPatient. RightPatient is a biometric patient identification system that utilizes iris scanning, thus making it easy to use for both the patients and hospital staff. It is also hygienic as it does not require physical contact and is also safe and accurate. The health systems using it are reporting that it helped to improve the patient experience, improved patient safety, and reduced denied claims. All of these lead to minimizing the losses incurred due to misidentifications significantly.

Another one added to the endless list of patient misidentification stories

August 6, 2019/7656 views / 0 Comments/in BLOG, EHR, healthcare, Patient Errors, Patient Experience, Patient Identification, Patient Matching /by Matt Gibson

Another day, another one added to the endless patient misidentification stories – makes the need for an effective patient identification solution like RightPatient even more urgent.

However, medical record mix-ups occurred even before EHRs were implemented. Years ago, a woman called Liz Tidyman’s parents decided to spend more time with their daughter and grandchildren, and thus moved close to their home. While they did so, they carried everything important with them, especially the hard copies of their medical records (EHRs did not exist back then).

RightPatient prevents patient misidentification and medical record mix-ups.

Exactly two days after the parents moved in with Liz, the father unfortunately fell. Since this has never happened before, the family was concerned, and they took him to a hospital for a checkup. While sitting in the waiting room, Liz took out her father’s medical record right on time, or else there would have been some grave consequences in store for the family. As Liz went through her father’s health record, she saw some abnormalities – there were numerous pages regarding the medical history of an entirely different person. The only thing Liz could associate with her father was the name of the other patient, everything else regarding the medical history was unrecognizable by Liz – the other patient had much more complex problems than her father did. At that instant, she took out those irrelevant pages about the mistaken patient and decided that she will always double-check such sensitive records, medical or otherwise, in the foreseeable future.

This was just one story, and that too before the introduction of EHRs and the mess they created. There are many such stories and incidents before and after EHRS which have created the billion-dollar problem – patient misidentification. These have also led to numerous patient misidentification stories, due to which everyone is taking it seriously now.

No patient, old or young, is safe from patient matching errors, but since the older ones are less comfortable with technology, they need to be more careful regarding their medical records. According to a healthcare official, one out of ten patients who have seen their records say that there are inconsistencies and demand corrections. This is not really surprising, given the number of problems we read about everyday regarding patient identification. For instance, some patients may see that inaccurate medical test results, treatment plans, or diagnoses have been attached to their medical records, raising doubts regarding what else is mixed up with other patients. However, this actually happened with Liz’s father as well.

When asked about kidney cancer, Liz’s father denied he had it. Afterward, Liz viewed the materials and realized that the mix-up was due to the name, and it was listed kidney cancer instead of skin cancer, the latter which her father actually had. Likewise, omissions, patient mix-ups, and duplicate records create all kinds of ruckus and devastate families, end the lives of individuals and cause losses in millions of dollars. This has been the scenario for years, and EHRs did not fix them, they only amplified the problems further.

Health systems have finally begun to address how serious of an issue patient misidentification can be, thanks to the endless pile of patient misidentification stories. While some hospitals are struggling with using only EHRs for patient identification, others are clamoring for an effective solution to end these patient matching errors. However, other advanced and forward-thinking healthcare providers opted for RightPatient – a biometric patient identification system. It uses the iris scanning modality to identify the patients. Once the hospitals enroll the patients with RightPatient, they can be recognized and matched with their records easily and conveniently, all it needs is a look at the camera – it’s that easy! Patient acceptance to RightPatient has been high as well since they perceive it as safe and hygienic – no physical contact required; thus, no risks of contracting any diseases. RightPatients helps in saving the lives of patients and reducing denied claims and ultimately saving money along the way.

Patient identification error causes yet another grave mistake

July 17, 2019/9306 views / 0 Comments/in BLOG, healthcare, Iris Recognition, Patient Errors, Patient Identification, Patient Matching, Patient Safety /by Matt Gibson

Another day, another mistaken patient identification error. However, it was a bit different in this case. Two sisters were informed that their brother was on life support and that is the premise of the whole fiasco.

RightPatient-successfully-prevents-patient-identification-errors

The sisters, Rosie Brooks, and Brenda Bennett-Johnson received a call from an official that someone they believed to be their brother Alfonso was breathing with the help of a ventilator at Mercy Hospital and Medical Center of Chicago. However, the sisters stated that they didn’t talk much to their brother. The call started with someone enquiring about relatives of Alfonso, and Brooks replied that she was the sister, and then the official broke the news – that he was fighting for his life in the ICU, explaining that he was beaten quite severely, especially the face.

The Chicago police had found the man beaten to a pulp, and according to reports had neither clothes nor any means of identification on his body. A police spokesperson said that witnesses of the incident identified the injured man as one Elijah Bennett. Later on, he was rushed to the hospital and was on life support.

During his time in the hospital, as nobody came looking for him, the hospital staff had to take the help of the police in identifying him. The spokesperson said that their database had no “Elijah Bennett,” however, they did find “Alfonso Bennett.” The police later on handed over a picture so that the hospital could help identify any family members of the unfortunate patient. All these events led to the call to Brooks, yet another patient identification error.

When the sisters rushed to the hospital, they failed to identify the man as their brother Alfonso. However, CPD kept saying that it was their brother. According to the nurse, police used the help of mugshots to identify him, but due to budgetary issues, a proper ID could not be made.

However, the patient’s situation was worsening, and the sisters faced a challenging situation – whether or not to remove his life support. With immeasurable sadness, they had to sign papers stating that this man was their brother and to remove his life support, and as expected, the man passed away, unfortunately.

After this series of events, the story did not end. After the untimely death of the “brother,” the sisters started making preparations for his funeral, to give him a proper sendoff. Before they could carry out the planning, however, what happened next was a scene out of a dramatic movie – the brother, Alfonso, walked right through the front door of the house of the one sister! She shouted over the phone to her other sister, exclaiming that the brother they had thought was dead is very much alive and healthy and that it almost gave her a heart attack.

However, this newfound relief and happiness quickly turned into sadness, regret, and remorse – they realized that they had given the green light to end the life of a stranger, thinking it was their brother. They shared how they felt with the media and that they were extremely remorseful about deciding everything about someone unknown. However, the police, later on, identified the person with the help of fingerprints and started looking for his family. Everyone involved was deeply disturbed by this incident and thinking that there are no procedures or strategies to ensure such cases do not happen again in the future. However, this is not an isolated incident, as a very similar situation occurred in 2018.

Many people are worried that as these incidents are recurring, there is no way to avoid this. They are wrong. RightPatient would have helped the situation in reducing such errors. It is a biometric patient identification system which, and with the help of iris scanning modality, it reduces not only any kind of patient identification error but is also safe, convenient, and quick. Since no physical contact is required, all it needs is a glance from the patient for registration and matching – thus being hygienic and easy to use for both patients and physicians. All these features help to enhance patient safety as well as improve the patient experience, reducing claims by 35% and saving a lot of costs of healthcare systems in the process.

Hospitals are Prioritizing Patient Matching Accuracy

June 2, 2019/8949 views / 0 Comments/in BLOG, healthcare, Iris Recognition, Medical Record Mix-ups, Patient Experience, Patient Identification, Patient Matching, Patient Safety /by Matt Gibson

Patient identification has been haunting the healthcare industry since its inception. Using the existing practices in the industry, accuracy rates are significantly low and cannot be used to exchange health data effectively, as reported by officials from different healthcare systems such as hospitals and physicians. The industry is in dire need of patient matching improvement.

However, the above report is not the only one – other statements point towards the same conclusion of requiring patient matching improvement, as per the research brief from Pew Charitable Trusts. A study was conducted by Pew researchers along with Massachusetts eHealth Collaborative (MAeHC) that sought to identify the current situation of patient identification in the healthcare industry. They did so by collecting information from different healthcare executives with the use of interviews. Another aspect of the study was to identify how to achieve patient matching improvement. The sample of this study was healthcare experts and influential figures from various practices and sizes who served numerous patients in diverse regions all over the country.

A vast majority of the sample expressed the same view – patient identification and matching were quite inaccurate and desperately needs an overhaul, thanks to the increasing demand for interoperability.

Healthcare providers are now motivated to exchange more health data due to the recent CMS Promoting Interoperability program. That’s not all! CMS is also going to be granting incentives to accountable care organizations (ACOs) who will show savings through activities which support care coordination.

According to the Pew researchers, healthcare systems like hospitals and clinicians eligible for these programs need to exchange information with others so that all of the parties have the latest patient data from other various institutions.

The hospital officials stated that it is quite challenging to measure the match rates, resulting in their efforts being ineffective to examine and improve the patient identification rates. They also had difficulty providing a number when asked for the identification rates within their organizations. This was because many hospitals only keep a record of the duplicates identified through EHRs, whereas others do not know which files are relevant and which are unlinked. Thus, without knowing the actual number of correct matches, these healthcare systems cannot determine their match rates. Therefore, only the amount of misidentifications was provided by them, thus summarizing the research.

It was also identified that healthcare systems could easily match patient identities when asked by organizations they are in constant contact with. Both automated and manual processes are utilized to link records to the correct individual.

However, whenever it is an organization with whom the healthcare system is not in contact with regularly, match rates are inclined to be lower. This is because these unsolicited requests introduce more blockades because the healthcare system may not have a record of that individual, and the healthcare system uses automated processes for such applications. On top of that, the research also showed that urban areas require better identification rates compared to rural areas as not much-sharing activities take place in the latter.

Some healthcare executives also think that improved patient identification matching requires significant costs. However, many believe that biometric patient identification is the solution to improve matching rates and is worth the cost. Some hospitals are even utilizing iris scanning solutions like RightPatient to identify all their patients and pull their relevant data from their EHRs and show a significant change. They report that it is fast, accurate and improves the overall patient experience as well as speeding up the whole process and saving valuable time of the physicians so that they can concentrate on more critical tasks such as the patients themselves.

Reducing opioid abuse by knowing the right patient

July 16, 2018/14974 views / 0 Comments/in AI, Analytics, Artificial Intelligence, Big Data, BLOG, Data Integrity, data mining, Health Care, healthcare, Medical Record Mix-ups, Patient Errors, Patient Identification, Patient Matching, Patient Outcomes, Patient Safety, population health, precision medicine, Predictive Analytics, value-based care /by Michael Trader

The US is enduring a massive opioid abuse epidemic. Not only are they widely prescribed, but prescription opioids are now more widely abused than street drugs. If we look at the anatomy of the opioid crisis, it is genuinely frightening. In 2016, 116 people died each day due to opioid overdose, resulting in more than 42,000 fatalities in a single year.

The question is, why is this happening? How are 11.5 million individuals misusing prescription opioids? How is it that each year, 2.1 million people misuse opioids for the first time? It seems that, at present, there is no clear path to stunting this epidemic. Opioid abuse is already costing the US economy more than half a billion dollars annually.

How did we get to this point?

Since the 1990s, the pharmaceutical industry started pushing opioids and assured doctors that these drugs were safe. Consequently, doctors began widespread prescription of these drugs. However, blaming the pharmaceuticals industry and doctors alone ignores many other pertinent factors.

There have been many changes regarding the prevalence of various diseases over the last three decades. Slowly and steadily, medicine has become dominated by chronic and painful health conditions. It is estimated that one-third of the U.S. population or 100 million Americans are living with a chronic and acute pain condition. Among them, one-fifth are living with moderate to severe pain. Considering these statistics, it follows that opioids would be widely prescribed. However, 8-12 percent of those prescribed opioids result in patients developing an addiction.

Opioid misuse is not just limited to those living with painful conditions. Many of the prescribed opioids end up in the wrong hands. Many addicted to opiates hide their identity or medical conditions and visit various clinics under different aliases. For doctors, it is challenging to identify the right patient.

How can we reverse the epidemic?

To bend the trend downwards, efforts must be implemented at every level. At the community level, we must educate the public and raise awareness about the health risks of opioid abuse. Policymakers should advance legislation to address the problem. Above all, there is a need to change the way medicine is practiced; healthcare providers must take higher precautions at the clinical level.

Clinicians cannot and should not deprive people in pain from drugs that can bring them needed comfort. However, big data and technology can assist them in differentiating between the right patient and the wrong one. This is where RightPatient can play a vital role. Powered by artificial intelligence, the platform can help clinicians to thwart medical identity fraud and ensure that a patient’s complete and accurate medical history can be retrieved.

By recognizing the correct patient, clinicians can better understand the validity of patient complaints along with a patient’s disease history. When and where was the patient last prescribed an opioid? Did the patient rightly identify himself/herself?

RightPatient can be one way to prevent opioid abuse.

How Can You Protect Your Investment in a Population Health Solution?

February 9, 2018/15509 views / 0 Comments/in AI, Analytics, Artificial Intelligence, Big Data, BLOG, Data Integrity, data mining, Health Care, healthcare, Medical Record Mix-ups, Patient Errors, Patient Identification, Patient Matching, Patient Outcomes, Patient Safety, population health, precision medicine, Predictive Analytics, value-based care /by Mizan Rahman

Healthcare in the U.S. is going to see a paradigm shift in the next five years that will move it from a fee-for-service (FFS) payment model towards a value-based model. Simply said, those who produce better results and improve patient quality of care at lower costs will reap higher dividends. This shift will require better use of technology and significant changes to many platforms and their capabilities, including more investment in big data, analytics, and patient matching systems. These investments in population health management technologies will provide the real-time information needed to make more informed decisions.

Population health solutions play a critical role in moving healthcare from a treatment-based to a prevention-based model. These platforms enable providers to better prepare for patient-reported outcomes, provide data regarding social determinants of health and activity-based costing, and match extracted data outcomes with the right patient.

Current state of U.S. healthcare

The U.S. spends more on healthcare per capita than any other nation in the world but fails to produce better results for life expectancy and other health outcomes. Moreover, U.S. taxpayers fund more per capita on healthcare (64%) than those in other countries, including those with universal health programs.

These facts suggest that encounter-based medicine might be contributing to sub-optimal results in the U.S. and there is a need for change. That change is prompting the rise of population health management and data analytics technologies.

The population-based model is based on aggregating patient data across various health information resources, forming a comprehensive, longitudinal health record for each patient, and leveraging analytics to produce insights that clinical teams can use to improve care and lower costs. In addition to health and financial data derived from electronic health records (EHRs) and medical claims, information such as a patient’s socio-economic status, personal support network, and habitat conditions can be useful in building preventative care strategies.

For example, a patient diagnosed as prediabetes would be classified as high-risk in an encounter-based model. However, this does not take into consideration the patient’s lifestyle and behavioral patterns. Many prediabetics can avoid developing diabetes by modifying habits such as diet and exercise. Patients who smoke, abuse drugs, or have a sedentary lifestyle are much more at risk of developing the disease. Identifying these genuinely high-risk patients requires access to accurate data that is linked to the correct record.

Challenges in moving to a population health solution

At present, a tremendous amount of patient data is available but it is not unified – it exists within different institutions and across various platforms. Thus, the available information is very difficult to match with the right patient (if not impossible in some cases) and such data has little practical value. Population health solutions need a system that can match patients with their available data and provide information on the best recommendations for preventative care, helping to improve outcomes and save resources.

Therefore, the most important variable in extracting value from a population health solution is ensuring that a patient’s captured data is matched to the correct record. Better data warehousing and mining capabilities will serve no purpose if healthcare providers lack the ability to match the output with the right patient. At present, not only do patient identification issues exist within a single healthcare institution, but these issues become even worse when patient data is exchanged across multiple systems, with error rates rising to 60%.

Failure to properly identify a patient means loss of historical medical history, social indicators, financial information, medications, allergies, pre-existing conditions, etc. – vital information that puts the patient and healthcare provider at greater risk. These data integrity failures can significantly dilute the efficacy of population health initiatives.

In fact, the transition from fee-for-service to value-based healthcare is only going to work if healthcare entities invest in patient matching technology alongside their investments in big data and analytics platforms. These investments should go hand-in-hand since patient matching errors can have such a substantial impact on data quality.

Population health management is among the top six categories in healthcare that are attracting investments from venture capital firms. Other segments include genomics and sequencing, analytics and big data, wearables and biosensing, telemedicine, and digital medical devices.

Thus, the industry is investing in technologies that will play a significant role in value-based care and population health management. However, the success of any population health initiative depends on the right patient being identified every time so that medical records and the corresponding patient data are not mixed-up. Considering the data fragmentation that exists in healthcare and lack of standards around patient identifiers, AI-based systems like RightPatient are the only way to ensure reliable identification of patients across various data platforms and maximized investment in population health management.

How RightPatient Prevents Chart Corrections in Epic and Other EHRs

January 29, 2018/13437 views / 0 Comments/in BLOG, Chart Corrections, Data Integrity, Health Care, healthcare, Medical Record Mix-ups, Patient Errors, Patient Identification, Patient Matching, Patient Outcomes, Patient Safety, value-based care /by Michael Trader

I’ve visited enough of our customers to know that hospital emergency rooms and free-standing EDs can sometimes be chaotic environments. Unlike most outpatient registration areas, patients who arrive to the ED do not have scheduled appointments and often go through a triage process with a nurse where they are “arrived” within the electronic health record (EHR) system. This is essentially a quick registration that begins the documentation of a patient’s visit information on his/her medical record. Unfortunately, this process often results in what are known as chart corrections.

As one might imagine, a clinician’s primary focus is on the health and safety of the patient. Nurses that triage patients are trying to enter patients into the EHR system so they can receive the appropriate care as quickly as possible. Unfortunately, data entry errors during this process are commonplace. For example, EHR system users may create a “John Doe” or “Jane Doe” medical record if they cannot properly identify the patient. Or, users may mistakenly select the wrong record because it shares a similar name with the patient in need of care.

When EHR users select the wrong patient medical record, all subsequent information pertaining to that visit is entered into that record (sometimes referred to as a medical record “overlay”). This is a data integrity failure and results in data entry errors that need to be resolved with a chart correction. So, a chart correction in the Epic EHR or other EHR systems is the process of fixing a “wrong chart entry” or overlay record that was caused by a patient identification error.

Wrong patient, wrong record data integrity failures within the EHR system can have disastrous consequences. At best, the healthcare provider must spend internal Health Information Management (HIM) resources to perform chart corrections and resolve medical record overlays, costing $60-$100 per hour for an average of 200 hours per overlay record. At worst, wrong patient errors can affect clinical decision making, patient safety, quality of care, and patient lives. This is why organizations like AHIMA have strongly advocated safeguards that healthcare providers can use to prevent medical record mix-ups, improve data integrity, and reduce the risk of adverse events.

RightPatient is the ideal safeguard to prevent wrong patient medical record errors and chart corrections within Epic and other EHR systems. The AI platform uses cognitive vision to instantly recognize patients when their photo is captured and automatically retrieve the correct medical record. This becomes a seamless module within EHR system workflows so there is no disruption to users.

Customers like University Health Care System in Augusta, GA are effectively using RightPatient to reduce chart corrections in Epic. In fact, UH saw a 30% reduction in Epic chart corrections within months after implementing RightPatient.

Healthcare providers using RightPatient to capture patient photos significantly reduce their risk of data integrity failures. This enhances patient safety and health outcomes while reducing costs – important goals in the age of population health and value-based care.