Optimize-revenue-cycle-management-in-healthcare-with-RightPatient

Optimizing Revenue Cycle Management in Healthcare is More Important Than Ever

While the US is still suffering from the effects of the highly contagious COVID-19, it has arguably hit its healthcare system worse than anything else. Around 1.4 million people working in healthcare have lost their jobs. The number itself is quite shocking, however, what makes it worse is that the pandemic has changed everything. For instance, the US healthcare system used to be unaffected by any recessions, but COVID-19 has shown otherwise. This is because numerous hospitals have declared layoffs, furloughs, or are even shutting down due to unimaginable financial pressure. With that in mind, as hospitals are opening up, they need to reduce their losses right off the bat, otherwise, it will be hard for anyone to survive. Thus, revenue cycle management in healthcare is more crucial than ever now.

Optimize-revenue-cycle-management-in-healthcare-with-RightPatient

The numbers are drastic

It has already been mentioned that over 1.4 million healthcare professionals lost their jobs. That’s not where it stops, though. Since hospitals made the difficult but necessary choice to prepare for the overwhelming amount of COVID-19 patients by shutting down non-emergency care at their premises, they became financially crippled. The American Hospital Association stated that hospitals are losing a mindboggling $50 billion a month, due to the fact that they are seeing an extremely low number of patients – as low as 70%. Revenue cycle management in healthcare has always been a much-discussed topic, however, as the numbers show, it is of utmost importance now to optimize revenue cycles by reducing costs and mitigating losses – something that RightPatient can help healthcare providers with. But how does optimized revenue cycle management help hospitals deal with the financial crisis?

Benefits of optimized revenue cycle management in healthcare

Reduced denied claims

A streamlined revenue cycle depends on the level of accurate data present within the system. If there is a high level of accuracy, it reduces the chances of denied claims. Usually, denied claims occur when there are mistakes in payment claims. One example is when patients are mistakenly charged for services they have not used. RightPatient ensures that the patient is accurately identified from the beginning to the end of the process – substantially reducing denied claims. 

Benefits-of-optimized-revenue-cycle-with-RightPatient

Enhanced patient experience

An optimized revenue cycle means that the FTEs will spend less time on redundant tasks such as rechecking coding and billing for errors and focus more on providing better care to the patients – enhancing the patient experience. 

Higher and faster collections 

It is quite simple – if the revenue cycle is optimized, there will be higher collections with a lower number of errors. FTEs, thus, do not have their hands full of coding and billing errors – giving them the time to focus on the remaining collections, improving efficiency in the process. 

Accurate patient information 

An optimized revenue cycle means that you are ensuring patient data integrity; that is, from the beginning of caregiving to collections, the correct patient has been identified. This can be easily achieved using an accurate patient identification platform like RightPatient.

Optimizing Revenue Cycle Management in Healthcare is More Important Than Ever
Optimizing Revenue Cycle Management in Healthcare is More Important Than Ever

#1 Biometric Patient ID Platform

Superior flexibility, power & ROI

Better financial returns

One of the most vital parts of a healthcare provider that everyone scrutinizes, other than treating patients, is its financial performance. After all, these are the indicators as to how well a provider is doing. An optimized revenue cycle means that there are increased clean claims, faster collections, lower lost claims, and accurate patient data – all leading to improved revenue of the provider.

Since COVID-19 is still affecting the financial performance of providers, they need to ensure that their revenue cycle is as optimized as possible. 

Optimize revenue cycle with RightPatient

Optimized revenue cycle management in healthcare means that you need to have the correct data for the patient and you are ensuring that he/she is being billed accurately throughout the whole process. Thus, for a better revenue cycle, you need to ensure accurate patient identification. This is where RightPatient can help you.

It is a touchless biometric patient identification platform and is used by leading healthcare providers for a number of reasons. It prevents medical identity theft, optimizes the revenue cycle, reduces denied claims, prevents duplicate record creation, enhances patient safety, and more – leading to improved financials, boosting the bottom lines in the process. 

Upon registration, RightPatient locks the medical records of the patients with their photos. Whenever an enrolled patient comes in, all he/she needs to do is look at the camera and it identifies them within seconds, providing the correct patient record to the EHR user and ensuring accurate patient identification. This ensures that the correct patient is identified right from the start – reducing billing errors and denied claims and optimizing revenue cycle in the process. This is something that every provider needs to ensure to survive during this unprecedented situation.

RightPatient has years of experience and has been helping protect over 10 million patient records. Duke Health and Community Medical Centers, among others, are using RightPatient to ensure safe, hygienic, and accurate patient identification. Are you optimizing your revenue cycle sensibly? 

How-to-prevent-medical-identity-theft-during COVID-19-with-RightPatient

How to Prevent Medical Identity Theft During COVID-19 as Experts Predict Rising Cases 

The world has been drastically changed due to COVID-19 – it seems as if the whole thing was adapted from a sci-fi horror story. While many parts of the world have been opened up with precautions, it looks like the coronavirus pandemic has yet to complete its significant mark on humanity. For instance, new cases are surfacing in the US – over 2.6 million Americans have been infected as of June 29th, 2020. However, that will not stop hackers from attempting to steal patient data, which ultimately leads to medical identity theft. In fact, experts have warned that such cases will rise due to the pandemic. That being said, everyone within the US healthcare system is working hard to survive, serve patients, and open up. With all these overwhelming odds, one might even not have time for the answer to the question, “How to prevent medical identity theft even during the pandemic?” Fortunately, there is an answer – RightPatient, but more on that later.

How-to-prevent-medical-identity-theft-during COVID-19-with-RightPatient

Rising medical identity theft 

Medical identity theft is nothing new – it has been around for quite some time now. In fact, more than 2.3 million Americans are victims of medical identity theft each year, whereas healthcare providers might be forced to pay settlement costs of around $250,000. However, a security expert like Randy Pargman, an ex-senior computer scientist of the FBI, has stated that there will be more cases of medical identity theft during the pandemic as there is a lucrative window of opportunity for hackers.

But why is that so? Mr. Pargman has stated that since the patient information contains valuable and sensitive data like Social Security numbers, insurance information, DOB, names, and addresses, these can easily be used by actors. They can simply pretend to be the patients and obtain medical services while the victims are billed fraudulently. Cases like this will be quite common unless healthcare providers know how to prevent medical identity theft. Thankfully, RightPatient does that effectively. It also helps to improve quality and safety with its platform.

Why are such cases so common?

The answer is quite simple – medical records are the most profitable forms of stolen information. To put it into perspective, stolen credit card information sells for up to $110 on the dark web, whereas stolen patient records sell for up to a whopping $1,000!

How to Prevent Medical Identity Theft During COVID-19 as Experts Predict Rising Cases 
How to Prevent Medical Identity Theft During COVID-19 as Experts Predict Rising Cases 

#1 Biometric Patient ID Platform

Superior flexibility, power & ROI

Thus, it is quite natural that hackers would target healthcare providers more, as they can sell the records for far more money. Fraudsters can also obtain expensive medical services, unobtainable drugs, and medical equipment for a mere $1,000. They are saving thousands of dollars – healthcare can get quite expensive. It is simple economics – wherever there is demand, there will be supply.

While providers are required to protect patient data due to laws like HIPAA, they usually implement inadequate security, ultimately leading to healthcare data breaches and medical identity theft. As previously mentioned, not everyone is facing such cases. Healthcare leaders have taken it upon themselves to protect their patients from medical identity theft and saving themselves from unnecessary costs. Saving costs is even more necessary during the pandemic. So, how are the leaders answering the question, “How to prevent medical identity theft?”

How to prevent medical identity theft with RightPatient

RightPatient has years of experience with leading providers. A touchless biometric patient identification platform, RightPatient solves a number of issues. But before that, how does it work exactly?

RightPatient-prevents-medical-identtiy-theft

It locks the medical records of the patients with their photos during registration. After enrollment, the platform simply takes a photo of the returning patients, matches it to the one saved within the record, and provides the appropriate EHR within seconds. The best part is that it does so without requiring a single touch from the patient, making it the most hygienic patient identification platform.

Thus, if a fraudster comes in assuming the identity of someone else, RightPatient will immediately red flag the person – preventing medical identity theft in real-time. RightPatient also prevents duplicate record creation, reduces denied claims, and enhances patient safety. All these lead to boosting the bottom lines of hospitals – something which is very much needed for providers currently to survive. 

So, how can you prevent medical identity theft during and after the pandemic? The answer is RightPatient. 

patient-safety-in-hospitals-is-improved-with-accurate-patient-identification

Duplicate Medical Records Impact Patient Safety in Hospitals

Ensuring patient safety is one of the top priorities for any hospital. Experts suggest that the mismatch and duplication of patient data have damaged the U.S. medical system and caused potentially fatal consequences. Let’s see how duplicates hamper patient safety in hospitals.

patient-safety-in-hospitals-is-improved-with-accurate-patient-identification

Duplicate medical records may occur in different ways. The most common repetitive error occurs during the patient registration process. This situation also occurs when the unconscious patient cannot be identified. Sometimes, duplicates are created based on the patient’s demographic changes; the registrar may fail to find the patient’s last name and decide to create a new record. Patients must be identified reliably and consistently so that healthcare providers can have a complete view and make the best decisions.

Duplicate records are costly for E.D.

According to a report from 2019, approximately 18% of patient records within organizations are duplicates. Such duplicate records cost an average of over $1,950 per hospitalization, while the medical system spends more than the USD 800 per emergency (E.D.) visit.

Duplicate records cause delay and improper treatment

One-fifth of the patients have incomplete health records due to duplicate data, so they cannot fully view the patient’s medical records. This also leads to delays, unnecessary tests, or improper treatment of the patients. 

There are bad examples of duplicate medical records

Duplicate records pose a remarkable level of threats to the provision of proper care and patient safety in hospitals while carrying some significant consequences. In one incident, a woman’s mammogram was mistakenly assigned to another lady’s chart. As a result, her diagnosis was postponed, and the clinician was unable to start her treatment until the diagnosis was confirmed.

Duplicate Medical Records Impact Patient Safety in Hospitals
Duplicate Medical Records Impact Patient Safety in Hospitals

#1 Biometric Patient ID Platform

Superior flexibility, power & ROI

Patients might end up with the wrong drugs

Duplicate medical records also harm prescription drugs. If a patient receives medications according to the wrong prescription and the clinician does not acknowledge the patient’s drug history, then the probability of a fatal outcome is high.

Duplicate medical records add unnecessary expenses to hospitals  

A survey from 2018 revealed that duplicate patient EHRs cost hospitals an average of $1,950 per patient. 33% of all denied claims were caused by mismatched or incorrect patient information- as found by the survey. Such denied claims caused an average of $1.5 million to the health care system in 2017 and $6 billion annually as a whole. Data sharing continues to grow and poses challenges to the safety of virtual medical records; hence, resolving the issue regarding patient records has become an increasingly urgent and complicated task. 

The challenge of patient identification can be solved if patient records are accurately identified against a patient’s unique feature, and RightPatient does just that. It creates a closed-loop patient record that can only be accessed through biometric identification- ensuring that the patient data is locked and irreversible. Once the inscription is done, patients only need to scan their biometrics- RightPatient to identify the accurate medical record within seconds and submit it to the hospital staff. The duplicate medical records of health systems such as Community Medical Centers and University Health Care System have been significantly reduced, which can help improve emergency medical response and ensure patient data safety.

RightPatient-enhances-patient-safety-and-saves-providers-millions

Strategies which help ACOs to improve patient outcomes

The individual entities in any Accountable Care Organization (ACO) are always under the pressure to reduce their costs as well as strengthen their healthcare strategies to improve patient outcomes and maximize the benefits of being a part of the ACO. Thus, they are familiar with the fact that they need to develop strategies for accomplishing these targets – reduce costs, improve patient data sharing, care coordination, and improve patient outcomes as well, with an emphasis on post-discharge patients via reduced hospital readmission rates.

RightPatient-enhances-patient-safety-and-saves-providers-millions

Take post-acute care networks as an example – north of 40% of Medicare patients receive post-acute care after they are discharged from the hospital, costing more than a whopping $60 billion back in 2015. Variation in post-acute care also caused Medicare spending variance by more than 73% – these variances were tied to healthcare costs, outcomes, and quality – the better the quality, the lower the costs, and vice versa.

If these standards are not satisfied, then the ACO receives penalties in the form of lower payments or fines. Thus, any given ACO needs to generate an exceptional patient experience via better healthcare, improving the coordination among the organizations regarding data sharing, reducing the readmission rates and minimizing the costs incurred. 

Here are some strategies which will help the ACOs to achieve these targets: 

Use biometrics for patient identification

Biometric patient identification systems are being used by over one hundred health systems and are reported to increase patient matching significantly – something which is sorely needed within the healthcare industry currently. In the case of ACOs, a single patient’s data is shared by all the systems within them, such as health systems, hospitals, physician groups, and insurers. Thus, interoperability is a must-have feature. EHRs are already known to cause identification errors and have unintuitive interfaces, inherently low patient match rates, and lack of interoperability, which is why health systems are using add-ons like RightPatient to accurately match the patient with his/her appropriate medical record. EHRs are supposed to cause physician burnouts as well, as they need to click through the interface thousands of times. Thus, adopting a solution like RightPatient will not only improve the match rates but also improve the patient experience as well as reduce physician burnouts, generating improved coordination. Patients only need to get their irises scanned to retrieve their accurate medical record for usage. Thus, faster matching creates better coordination and sharing of uniform and clean data among the organizations funded by Medicare. 

Strategies which help ACOs to improve patient outcomes
Strategies which help ACOs to improve patient outcomes

#1 Biometric Patient ID Platform

Superior flexibility, power & ROI

Ensure proper medication adherence 

One of the biggest problems for ACOs is ER (emergency room) visits, which generate hospital readmission rates – occurring due to the unhealthy population under their care. According to a study, two-thirds of the patients who are supposed to take medications are non-adherent; that is, they do not take their medications properly. This non-adherence creates around 50% of treatment failures among those patients and causes up to 125,000 deaths per year. The fact is that these deaths could have been prevented if the patients were adherent to their medications. All these generate up to an unbelievable $300 billion in costs. Apps like CircleCare have a feature which could have ensured medication adherence – Medicine Box – a medicine reminder where patients can easily set reminders for their medications.

Thus, even if the medication regimen is complex, CircleCare makes it easier than ever for the patients to take the right medicine at the right time.

Provide patient education

Another challenge for ACOs is that their patients are not adequately educated regarding their medical conditions. Research shows that over 50% of adult patients experience difficulty in using and understanding their health-related information, whereas around 40% forget most of the data. CircleCare provides health-related information which is customized according to the patient’s disease(s) – this helps to keep the patient up to date with the latest information regarding his/her medical condition so that informed decisions can be made. This ensures effective patient education, leading to better patient outcomes. Once an ACO registers with CircleCare’s service, all it needs to do is direct the patient to download it. Afterward, the patients can schedule their medicine, track steps, record blood glucose levels, record blood pressure, and communicate with their healthcare provider – all of which helps to improve patient outcomes, lower readmission rates, and reduced costs as well as higher quality healthcare. 

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Patient misidentification cases are persistent as no industry-wide solution exists

Synchronizing medical information with the appropriate patients accordingly- how hard can it be, right? Well, it is precisely the opposite. It is easier said than done- patient misidentification cases are abundant. Since the introduction of electronic health records (EHRs), people thought that it would make the lives of everyone involved easier, but the reverse has happened. EHRs are filled with issues like misspellings, incomplete data, common names, outdated addresses, and so on, which overall leads to duplication of records. One of the consequences of all of this, according to a reputed organization, is the match rates being an average of 80%, sometimes even lower. It doesn’t sound all that bad, but it is the result obtained from the same healthcare provider the records have been created in! 

patient-misidentification-cases

One out of every five patients is likely to suffer from patient identification errors and become one of the many patient misidentification cases in the US. This is not the only problem, however. Patient matching errors are like a web created by spiders- trapping all the parties who are connected to patient identification- patients, healthcare providers, physicians, insurance companies, and so on. 

Patient misidentification cases are also synonymous with rising costs as patient misidentification is famous for being a persistent multibillion-dollar problem in the healthcare industry. A patient matching error costs a hospital around $2000, and if we look at the bigger picture, there are $1.5 million of denied claims for a single hospital in a given year. That is an outrageous amount of money which is completely wasted due to these errors.

As per the definition, patient matching refers to obtaining the accurate medical record for a given patient whenever necessary, to make informed decisions regarding the health of the patient. Healthcare professionals are frustrated that this is not what they experience whenever they are matching the patients with their records and are clamoring for something which will change the industry and generate accurate patient identification- something RightPatient is very good at doing. 

Let’s explore more in-depth into why patient matching errors occur. Patient matching is also reliant on the hospital employees who come into contact with it- they need to fill in the gaps for the new data, or else they might need to update changes in data like a surname, address, etc. to ensure accuracy. However, errors, in this case, maybe made by either the patient, the staff, or both. A patient might not be attentive and may not check whether accurate data has been entered; likewise, an employee may not check with the patient to ensure he has put in the correct data or not. They might think that it is not a big deal, but there lies the problem. Such inconsistencies which they believe are inconsequential lead to increased waiting times, worse patient outcomes, financial losses, wrong treatments, and sometimes even result in deaths. 

Patient misidentification cases are persistent as no industry-wide solution exists
Patient misidentification cases are persistent as no industry-wide solution exists

#1 Biometric Patient ID Platform

Superior flexibility, power & ROI

A reputed individual in the industry stated that to combat these errors, a lot of countries have switched to unique IDs for patients. Sadly, the US is not doing that yet, as it has no nationwide standardized patient identifier nor any effective strategy to do so. Thus, the responsibility is pushed onto the shoulders of the healthcare providers, each coming up with their own approach for identifying patients. 

A lot of suggestions have been made by experts to solve these errors, like software for patient identification, improvements in data standards, and ID cards, among many other options. However, the only one which is being pursued by many and used by early adopters are biometric patient identification systems. RightPatient is the most appropriate choice to eliminate patient matching errors. It uses iris scanning to ensure that the correct patient is identified, and it does so with ease, as reported by over a hundred healthcare providers who are using it. As it is using iris scanning, it is also hygienic and safe, as it requires no physical contact, and is convenient for the patients, as all they need to do is look into the scanner to match with their records. Since it is also less time consuming than traditional patient matching, it is lauded by many for improving the patient experience as well as patient safety. Patient matching has never been easier and more accurate, according to the users of RightPatient

Reducing opioid abuse by knowing the right patient

Reducing opioid abuse by knowing the right patient

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 or 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.

Reducing opioid abuse by knowing the right patient
Reducing opioid abuse by knowing the right patient

#1 Biometric Patient ID Platform

Superior flexibility, power & ROI

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.

RightPatient-augments-population-health-investments

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

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.

RightPatient-augments-population-health-investments

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.

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

#1 Biometric Patient ID Platform

Superior flexibility, power & ROI

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.

chart corrections impact healthcare data integrity

How RightPatient Prevents Chart Corrections in Epic and Other EHRs

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.

Value-Based Care: A Patient-Centered Approach Requires Knowing Your Patient

Value-Based Care: A Patient-Centered Approach Requires Knowing Your Patient

Aspirin, penicillin, monoclonal antibodies, interventional cardiology, and genome editing have undoubtedly revolutionized medicine. However, while all of these have been breakthroughs in the field of medicine, not much has changed in the way that doctors do their jobs. Patients visit their doctors, the doctors diagnose, they recommend tests, they prescribe drugs, and they are compensated according to the volume of work done or the number of procedures performed.

If medicine is to progress in the 21st century, things have to change at every level, including the way that doctors work and receive compensation, the way they identify the right patient, and the way that patients are treated.

The long-awaited system that is going to change the way doctors work and are compensated will soon become a reality. This new system is called value-based care.

Value-based care is about compensating doctors according to outcomes. This encourages more personal attention to patients and transitions the healthcare system from cure-based to preventive medicine. It is a system in which doctors receive a higher level of compensation for either better outcomes from procedures or enabling patients to avoid health-related problems altogether.

There are several benefits of a healthcare system where the right patient gets the right kind of care.

Value-based care can save patients a lot of money. Putting aside the historical projections of healthcare inflation, the U.S. is also facing major epidemics of chronic, non-communicative diseases like diabetes, high-blood pressure, and cancer. It is no secret that many of these ailments are preventable with timely intervention and/or the correct behavior. Value-based care creates an environment where doctors can help patients to avoid these diseases by intervening at the right time. A doctor would identify the right patient to design a prevention plan before a disease can manifest where things become more complicated and expensive.

Once the right patient, a patient with a high risk of developing a chronic illness, has been identified, the doctor would be encouraged to spend more time with her, teaching her to take better care of herself so that complications can be avoided. There would be a reward system for identifying the right patient and taking timely preventative measures. It would also result in higher patient satisfaction.

A value-based care system would also lower drug costs. Historically, manufacturers decide the price of their medications without taking into consideration the value that a particular drug has in terms of its effectiveness and overall patient wellbeing. A value-based system would also encourage the development of personalized medicine where treatment plans and even pharmaceuticals can be tailored to specific patient needs.

The backbone of the value-based care system would be patient identification and data mining. Many are already demonstrating why medicine should incorporate more data-based modeling to augment physician decision-making.  Data mining helps doctors and the healthcare industry as a whole to better understand the outcomes of various therapeutic approaches. Ultimately, it can help to create the right kind of individualized solution for the right patient.

Unfortunately, realizing optimal results from data mining and value-based care has its challenges, especially as healthcare organizations start mining data that has been accumulated over long periods of time. On average, at least 8% of hospital patient records consist of duplicate data. Thus, an intelligent way to sort out these duplications and identify the right patient is desperately needed.

It is stated that value-based care is about the right patient getting the “right care, in the right place and at the right time.” Instead, the maxim should be, “RightPatient® enables the right care, in the right place, at the right time.”

RightPatient® guarantees that a patient medical record is never mixed up with another record and the hospital ecosystem will always recognize the patient with the help of cognitive vision. Mistakes from common patient names, fraud, human error and other issues are always prevented.

Value-Based Care: A Patient-Centered Approach Requires Knowing Your Patient
Value-Based Care: A Patient-Centered Approach Requires Knowing Your Patient

#1 Biometric Patient ID Platform

Superior flexibility, power & ROI

As we all know, chains are only as strong as their weakest link. In many hospitals or medical institutions, there is an urgent need to strengthen this weakest link throughout the entire system – overcoming the errors of false identity and data duplication with RightPatient. Only then can the benefits of value-based care and data mining be fully realized.

How Opioid Abuse Exposes Hospitals

How Opioid Abuse Exposes Hospitals

Whenever I’m talking to a healthcare provider about RightPatient, the topic of “frequent flyers” inevitably arises. For those who might not be aware, frequent fliers are patients that use different aliases to obtain healthcare services. It’s estimated that between 2-10% of patients arriving at the emergency department (ED) provide some kind of false or misleading information about themselves. Typically, these patients are lying about their identity to obtain prescription medications, and most of these are for opioids.

Since these patients lie about their identity or demographic information, hospitals often end up writing off a considerable amount of money for their services – up to $3 million annually on average. Aside from these financial losses, frequent fliers also pose other risks to providers that are associated with patient safety and quality of care. Why? Because they also frequently lie about prescription drug use or addiction.

What’s worse is that this behavior is not limited to frequent fliers. Any patient can lie about their addiction. Many of these patients lie about their addiction to opioids, specifically. As we all know by now, the U.S. has a serious problem with opioid addiction, a crisis that killed over 33,000 Americans last year. This crisis has no rules or boundaries, and does not seem to select for a particular demographic. Anyone is susceptible to getting hooked on opioids because they are so addictive.

The opioid epidemic has far-reaching consequences that extend beyond the health of the patient; however, in the ED, this is the primary concern of a clinical team. Considering the circumstances, this question seems relevant – “how can healthcare providers ensure high quality of care when patients lie about their identity and/or drug use?”

RightPatient can play an important role in helping to answer this question. Our AI platform can accurately recognize the patient and offer key clinical insights by detecting patterns in the patient’s appearance over time. Clinicians won’t need to rely on the words lies coming out of a patient’s mouth, patients with no ID, or expensive tests. RightPatient automatically knows who the patient is and whether or not they are at risk of opioid abuse.

How Opioid Abuse Exposes Hospitals
How Opioid Abuse Exposes Hospitals

#1 Biometric Patient ID Platform

Superior flexibility, power & ROI

ED nurses who suspect a patient of abusing opioids will typically search the patient’s belongings to make sure they aren’t prescribed something that could cause an adverse event or even kill them. Unfortunately, the human eye, clinical intuition, and patient reliability have many shortcomings. Luckily, RightPatient can augment clinical diagnostics with cognitive vision to help fight the opioid epidemic and save a lot of lives and money in the process.