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RightPatient-reduces-infection-control-in-hospitals

Infection Control in Hospitals is Imperative as COVID-19 Cases Increase

COVID-19 is a phenomenon that has crippled almost the entire world. Even in those very rare countries where it didn’t infect many people, it did hurt their economies. The majority of developing countries are severely affected by the novel virus, leading to disruption in international businesses and global transactions. However, one can safely say that COVID-19 has affected America the worst – it is currently seeing huge spikes across the states, where officials are introducing new safety measures. Let’s take a look at the most recent record-breaking statistics of US COVID cases, some measures officials are implementing to mitigate its spread, and practices that will help ensure infection control in hospitals – improving patient safety and quality of care.

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US COVID-19 cases keep breaking records

Unfortunately, the US has the highest number of COVID-19 cases in the world – over 11.3 million! Moreover, it keeps on making new records: November 13 saw 184,514 new cases, according to John Hopkins University. This is in line with experts’ predictions – many stated that things will get worse during the fall. Ultimately, all of this will add to the huge amount of pressure healthcare providers are already facing – the COVID Tracking Project saw over 68,000 hospitalizations on November 13 where 6% of the patients were on ventilators and 19% in ICUs.

Needless to say, these numbers are frightening, with officials introducing measures to mitigate further spread. Let’s review some of the emergency measures introduced within some states.

Some recent measures to mitigate COVID-19’s spread

Oregon will see restrictions on gyms, restaurants, and retail stores. Virginia issued a mask mandate for anyone older than five starting on the 15th of November. New Mexico will be facing a two-week shutdown that consists of nonessential activities starting from 16th November.  Many other locations are seeing similar restrictions to ensure social distancing practices as a result of ever-increasing cases.

While these measures are in place to lower potential COVID-19 cases, infection control in hospitals must be ensured so that cases don’t spread within healthcare facilities. Let’s explore why this is important.

Why is infection control in hospitals important?

Of healthcare providers’ many responsibilities, preventing hospital-acquired infections (HAIs) has been a topmost priority for many of them. Hospitals are constantly looking to improve practices that enhance infection control and prevent HAIs. It is a crucial role of any hospital because, if not ensured, it will lead to compromised patient safety, undesirable healthcare outcomes, and create a chain of events that will jeopardize the entire healthcare facility. However, prior to the pandemic, HAIs used to be a headache of healthcare providers only; but now, contracting diseases is the concern of virtually everyone, especially those in hospitals.

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COVID-19 has shown how effective communication can be in this day and age – any new update regarding the novel virus can be shared and seen by anyone, thanks to the internet. Almost everyone has extensive knowledge about the do’s and don’ts, and they are quite reluctant to visit hospitals since they know that’s where the COVID-19 patients are going. Thus, healthcare providers need to ensure infection control in hospitals and enhance patient safety as well as the safety of the frontline staff members. Let’s take a look at how hospitals can reduce HAIs, some of which are according to WHO, and improve healthcare outcomes as a result.

Practices to ensure infection control in hospitals

Create an effective infection control policy

The foundation of having zero to minimal HAIs is to have an effective infection control policy at hand. Healthcare providers wanting strict infection control must plan for it in advance, and this plan should contain guidelines for dealing with HAIs, identifying affected patients, locations to place the patients in isolation, and the duration of such events.

Washing hands thoroughly and regularly

While this might seem obvious at this point, it is still one of the most important practices to ensure infection control in hospitals and save lives in the process. Washing hands regularly with liquids containing antimicrobial agents for twenty seconds is a must, especially after interacting with extractions, contaminated items, blood, secretions, etc. Keep sanitizers within a short distance of each other so that patients and caregivers both have access to them. If possible, use automatic dispensers to make it a touchless and safer experience for everyone involved.

Enforce PPE usage

PPE is a term that has been tossed around since the beginning of the pandemic, and for good reason. While healthcare professionals have been using it for decades to prevent HAIs, virtually everyone uses some form of PPE nowadays to protect themselves. Unfortunately, not everyone follows best practices, which will ultimately put others at risk.

Enforcing PPE usage for everyone within a healthcare facility is a good practice, regardless of their designation. Simply putting up signs saying “No PPE, No Service” will be quite effective for patients. For the healthcare staff members, surgical masks, face shields, gloves, gowns, etc., must always be present whenever they are within the facilities.

Keeping surfaces clean

Viruses linger on surfaces for days, and keeping them clean is the best solution to prevent HAIs. We can significantly reduce HAIs by monitoring the materials and environmental surfaces that are touched frequently and disinfecting them regularly and thoroughly, such as beds, handles, etc.

Using touchless solutions that ensure infection control

While many touchless solutions will be popping up within the next few years, there is one that is already being used by many healthcare providers to prevent infection control issues – RightPatient. It is a touchless patient identification platform that uses patients’ photos to lock medical records and verify their identities. Enrolled patients only need to look at the camera – the platform matches the live photo with the saved one, providing the appropriate medical record within seconds without requiring any physical contact, and ensuring patient safety and hygiene.

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Hospitals Are Facing Lower Reimbursements – Reduce Losses by Preventing Wrong Patient Identification

The COVID-19 pandemic has – and still is – left an unprecedented impact on our lives, and it’s safe to assume that it will leave a mark for years, if not decades. While the novel virus has claimed over 1 million lives around the world, over 219,000 of them were Americans. The US healthcare system is also on the receiving end – it is expected to face unprecedented losses of around $323 billion this year. Many healthcare providers have been forced to shut their doors permanently, furlough or lay off employees, or introduce pay cuts to deal with the financial blows. To make matters worse, healthcare providers are receiving small amounts of reimbursements for treating uninsured COVID-19 patients. Let’s take a look at the scenario, the numbers associated with the issue, and how providers can mitigate these losses by preventing wrong patient identification.

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COVID-19 has created an unprecedented financial strain for hospitals

COVID-19 has been spreading like wildfire, impacting everything and everyone it comes in contact with. After it hit the US, the healthcare system braced for impact the best way it could; hospitals canceled elective procedures and reassigned all resources to handle the surge of incoming COVID-19 patients. Naturally, hospitals and health systems are still suffering from the financial strain caused by COVID-19 as well as the cancellation of elective procedures.

Providers would get reimbursed for treating uninsured COVID-19 patients 

Back in April, the Trump administration’s coronavirus treatment reimbursement program was announced. Healthcare providers who treated uninsured COVID-19 patients would be reimbursed using the money from the Coronavirus Aid, Relief, and Economic Security (CARES) Act. This has been done so that caregivers don’t incur any more losses as well as to avoid uninsured patients facing shocking bills related to COVID-19. As a result, the Department of Health and Human Services (HHS) has reimbursed $881 million to around 8,000 providers to date.

However, it was estimated previously that the reimbursement for treating uninsured COVID-19 patients would range from $13.9 billion to $41.8 billion. As hospitals are facing losses of around $323 billion this year, they need higher reimbursements if they are to survive in the post-pandemic world. 

Why is this happening? 

One of the reasons pointed out by the Kaiser Family Foundation is the eligibility for receiving reimbursements – hospitals treating uninsured patients who have a primary diagnosis of COVID-19 will be receiving reimbursements. This means that even though healthcare providers might treat uninsured patients, if their primary diagnosis isn’t COVID-19, the caregivers won’t be eligible for reimbursements.

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Another issue with the program is that it doesn’t guarantee that all caregivers treating uninsured COVID-19 patients will receive the reimbursements – it depends on the availability of funding.

Hospitals must cut costs by mitigating wrong patient identification

The biggest challenge hospitals are facing now is to survive the financial strain. As previously mentioned, many have already closed their doors. Others are utilizing alternative cost-cutting methods such as furloughing or laying off employees, introducing reduced salaries, or restructuring their operations.

However, healthcare providers have a long list of problems that stem from wrong patient identification, and if they can eliminate it, they can significantly reduce costs and mitigate losses – enough to survive the financial crisis. Moreover, patient identification errors have been impacting healthcare outcomes even during the pandemic – for instance, test results went to the wrong patients, treatment was delayed due to incorrect patient data, and so on. All of these issues can be eliminated with RightPatient.

RightPatient effectively prevents wrong patient identification

Wrong patient identification has been a significant problem for years. While many healthcare providers wisely chose RightPatient before the pandemic (thanks to its touchless nature) others are facing issues with their touch-based solutions. Many have even reported a significant drop in utilization of the touch-based patient identification solutions as patients are extremely reluctant to use them due to concerns regarding infections. While infection control used to be a concern for hospitals only, since the pandemic, patients are well aware of the consequences.

Thankfully, patients and caregivers don’t have to worry about this with RightPatient, the industry’s leading patient identification platform. It uses a characteristic that others cannot replicate or steal: patients’ faces. Using patients’ photos and a photo of their driver’s license or other identification cards after scheduling an appointment, RightPatient automatically matches the photos to ensure accurate patient identification right from the start and across the care continuum. 

Leading providers have deployed RightPatient across their facilities and are reducing denied claims, preventing duplicate medical records, and enhancing patient safety – ultimately eliminating redundant costs and boosting their bottom line in the process. After the pandemic, every hospital needs to reduce such costs to survive – use RightPatient to help you do so.

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Identifying Patients Accurately is Critical for Ensuring CMS Compliance

The US healthcare system has been going through a very challenging phase due to the coronavirus pandemic. However, it looks like healthcare providers are going to have their hands full – they have another rule to comply with and must plan accordingly to ensure compliance by May 1, 2021. The fact that there have been additional changes to the Medicare Conditions of Participation (CoPs) is already well known among healthcare leaders. However, while many providers are already thinking about how they can ensure compliance, they might leave out one significant factor that can make or break the entire effort – are they identifying patients accurately? Why is this important? How does patient identification fit in with the new changes? How can providers ensure accurate patient identification? Let’s explore in detail.

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CMS Interoperability & Patient Access Final Rule

While the entire healthcare system has been suffering from the lack of interoperability, the Centers for Medicare and Medicaid Services (CMS) have made some changes to the CoPs to ensure that there is some degree of interoperability, believing that it will have positive effects on care coordination as well.

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The “companion final rule”, as per CMS, mandates that healthcare providers like acute care, psychiatric, and critical access hospitals send out e-notifications during every patient admission, discharge, or transfer (ADT) to the designated recipients (read: providers and other entities primarily responsible for patient’s care). This is applicable for both inpatient admissions and patients registered in the emergency departments (EDs).

Moreover, the providers obligated to follow the ADT requirements must make enough effort to ensure that they have sent out the notifications to the applicable parties (suppliers, entities, practitioners, etc.) in real-time.

Any given healthcare provider that uses digital medical records like EMRs or EHRs needs to ensure compliance with the updated CoPs for e-notifications. COVID-19 has extended the deadline – healthcare providers now have until May 1, 2021 to ensure compliance with the recent changes. 

Why are the CoPs important?

What is the biggest reason to ensure CMS compliance? Financial factors like CMS reimbursements and avoiding non-compliance penalties are more than ample motivators. Healthcare providers need to be compliant in order to safeguard their CMS provider agreement – it determines whether the providers are able to receive reimbursements or not, which can be quite significant in some cases. If providers do not ensure compliance, not only will their agreements be in jeopardy, restricting them from receiving reimbursements, but they might also face penalties. Given the current healthcare crisis that has crippled almost every caregiver, more financial woes are something any provider would want to avoid. 

What the healthcare providers are doing

Since the deadline has been extended to May 1, 2021, leading figures of healthcare providers are brainstorming about how to comply with the change – should they build an in-house e-notification system themselves, or should they buy from experienced vendors? Whatever option providers go with, they are not addressing the elephant in the room – are they identifying patients accurately?

How identifying patients accurately is related to e-notifications

Think of it this way – patient identification in hospitals is already inaccurate. In fact, many healthcare providers face patient identification errors due to duplicate medical records, medical record overlays, and patient mix-ups, among other problems. These lead to issues like compromised patient safety, unwanted patient outcomes, avoidable medical errors, and even deaths.

So, it has already been established that if a hospital does not have an accurate patient identity management system, then it causes a lot of problems for the facility. Can you imagine what will happen if the hospital goes for an e-notification platform without identifying patients correctly first?

Issues like common names and characteristics shared by patients are already quite prevalent and cause patient mix-ups. If such a case occurs while sending out e-notifications, then the wrong patient’s data will be provided to the subsequent caregiver. Thus, patient mix-ups and incorrect patient identification cases during ADT notifications will wreak havoc – delays in treatments, medical errors, and lawsuits are just some of the consequences of such scenarios. It will be a nightmare for any given provider. Hospitals and health systems that are not identifying patients accurately at their facilities need to eliminate these errors to ensure CMS compliance and avoid any unwanted consequences. They need to ensure patient data integrity by ensuring positive patient identification every time a patient comes in. That’s where we can help.

Identifying patients accurately with RightPatient

CMS-compliance-requires-proper-patient-identification-for-e-notificationsRightPatient is the healthcare industry’s leading photo-based biometric patient identification platform. It seamlessly integrates with the major EHR systems and becomes part of the workflow. Patients are registered by locking their medical records with their photos. After enrollment, incoming patients only need to look at the camera and the platform matches the photos and provides accurate medical records within seconds. This ensures a safe, easy, touchless, and hygienic patient identification experience for everyone.

RightPatient ensures that the correct patient is identified every time across the care continuum, helping you maintain patient data integrity. With RightPatient, you can send out the correct patient’s notification every time, ensuring CMS compliance and safeguarding your patients and, in turn, your business.

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Patient identification error causes yet another grave mistake

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.

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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.

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Hospitals are Prioritizing Patient Matching Accuracy

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. 

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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. 

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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.

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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.

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.

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 Big is the Patient Mix-up Problem in the U.S.?

How Big is the Patient Mix-up Problem in the U.S.?

Hollywood has created several films featuring a person that was wrongly informed about cancer or another fatal disease with the patient being told that they only have a few months/days left to live. Upon hearing this news, the patient goes on a spending spree and adventure only to discover in the end that things have been mixed up. This might make for a great movie but in the real world, if such a patient mix-up happens, the outcomes may be far worse. 

But just how frequently does this medical record mix-up problem happen in real life?

It seems that the problem of so-called mistaken patient identity is big enough to cause serious problems – something that is very evident from the article published in the Boston Globe, reporting 14 cases of mistaken identity

Reports indicate that medical errors due to patient mix-ups are a recurrent problem. Consequently, a wrong person may be operated on, the wrong leg may be amputated, the wrong organ may be removed, etc. In fact, CNN reported that in 6.5 years, in Colorado alone, more than 25 cases of surgery on the wrong patient have been reported, apart from more than 100 instances of the wrong body parts being operated on.

It would be challenging to estimate the true total number of patient mix-ups simply because the vast majority of them go unreported until something untoward happens. Even in cases where complications do occur, most medical organizations would not be eager to publicize them. 

Today, it is widely accepted that medical errors are the third largest killer in the U.S.; that is, far more people die of medical errors compared to diseases like pneumonia or emphysema. It is now estimated that more than 700 patients are dying each day due to medical mistakes in U.S. hospitals. This figure clearly indicates that medical errors often occur even though a fraction of them will have fatal outcomes. It also tells us that cases of patient mix-ups may be shockingly high and indeed underreported.

Though several thousand cases of mistaken patient identity have been recorded, it remains the most misunderstood health risk, something that hospitals barely report, and an outcome that patients do not expect to happen.

The U.S. healthcare system is extremely complex, making it challenging for a single solution to resolve this issue. There have been lots of efforts to implement a unique identity number for each patient (a national identifier) but political roadblocks have proven difficult to navigate. The chances are bleak that any such national system would be created, as patients remain profoundly worried about the privacy of their data.

At present, perhaps the best option is that each hospital finds its own way to solve this problem by developing some internal system to make sure that patient mix-ups don’t happen. Or, a better idea is to leave this task to the professional organizations that specialize in the business of improving patient identification. The RightPatient® Smart App is a perfect example of an innovative solution that is powered by deep learning and artificial intelligence to turn any device like a tablet or smartphone into a powerful tool to completely eliminate the problem of mistaken patient identity.

Technological solutions are often meant to augment human efforts, not to replace them. Here are some of the ways to avoid patient mix-ups:

  • Always confirm two unique patient identifiers within the EHR (Electronic Health Record), like patient name and identity number.  Though this is a standard practice, many mistakes still occur due to similar first or last names. Thus, an app like RightPatient can help to eliminate the chances of such an error.
  • Two identifications should be used for all critical processes.
  • There must be a system to alert staff if two patients have a similar first or last name.
  • Avoid placing patients with similar names in the same room.

Although patient misidentification and medical record mix-ups continue to plague the U.S. healthcare system, there is hope to address this serious issue with solutions like RightPatient. Now, we just need healthcare providers to make this a priority and take action.