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Another Patient Mix-Up Leads to the Wrong Surgery – Are These Preventable?

October 13, 2021/5515 views / 1 Comment/in BLOG, healthcare, Medical Record Mix-ups, Patient Data, Patient Identification, Patient Outcomes, Patient Safety /by Matt Gibson

We’ve seen and already covered many patient misidentification stories. These range from a mistaken patient identity that almost led to huge financial losses, wrong patient surgery cases that caused kidney transplant mix-ups, to a patient identification error that caused the wrong patient to be taken off of life support. Clearly, patient misidentification can cause serious to life-changing consequences for anyone involved. Unfortunately, today’s article is no different – the patient involved underwent a life-altering surgery only to find out that it was a case of a patient mix-up.

That being said, let’s take a closer look at what exactly occurred, how patient mix-up cases can lead to drastic consequences, and how they demonstrate the importance of accurate patient identification.

A patient mix-up led to misdiagnosis and laparoscopic prostatectomy

There’s probably nothing worse than being told by your physician that you have a deadly disease, right? What about being told you actually don’t have the disease AFTER the life-changing surgery?

Unfortunately, that’s exactly what happened with Eric Spang, 48, a man who lived happily with his family in Pennsylvania before he was misdiagnosed with prostate cancer. After learning the truth, Mr. Spang, quite naturally, became depressed and devastated both physically and emotionally.

Everything was going quite normally in Mr. Spang’s life until he received the results from a routine prostate screening. His physician informed him that he, unfortunately, had a common indicator of prostate cancer – elevated PSA (prostate-specific antigen) levels. The later course of action was to get a biopsy to see if it indeed was cancerous or not – this is where the patient mix-up occurred and changed everything for both the patients and their families.

Mr. Spang got the biopsy result back – it was positive. The physicians recommended a laparoscopic prostatectomy – his entire prostate gland would be removed. After discussing it with his wife, Mr. Spang chose to go for the surgery, hoping that it would save his life and put an end to this nightmare.

The bad news didn’t end here for the family, unfortunately. After the surgery, Mr. Spang and his wife found out that he didn’t have prostate cancer – the biopsy result belonged to an entirely different patient! While under different circumstances this might have been good news, it wasn’t for Mr. Spang – the irreparable damage had been done. Quite understandably, Mr. Spang was devastated.

Mr. Spang’s attorney, Aaron Friedwald, has filed a malpractice suit against Tower Health as well as the urology group. One of the reasons for this is because Mr. Spang wanted a second biopsy done to see if the results were consistent or not. However, his urologist did not recommend it, whereas his physician said that his prostate looked good as other tests showed no worrying issues. Getting a second biopsy might have cost a bit more, but it would’ve saved Mr. Spang from the entirely unnecessary surgery and devastation.

Patient mix-ups are a huge cause for concern

Well, this misdiagnosis can be traced back to patient mix-ups – something caused by patient misidentification. Moreover, this is just one case, and as we mentioned in the beginning, we’ve covered cases like this in the past. However, these are the ones that are reported – what about those that go unnoticed and undetected? Imagine getting a kidney removed and finding out that it was entirely unnecessary or getting the kidney that was meant for another patient!

All of these mix-ups have drastic consequences for patients, their families, as well as healthcare providers. Patients’ and their family’s lives are irreversibly changed and they can file a malpractice suit against the healthcare providers and other parties involved. Not only do such cases attract unwanted attention to the hospitals but it also increases litigation costs, loss of goodwill, and might even cause patients to switch to other healthcare providers.

However, these consequences are entirely avoidable with positive patient identification across the care continuum, and that’s what RightPatient does.

RightPatient prevents mix-ups across the care continuum

Leading healthcare providers such as Terrebonne General Medical Center, University Health Care System, and Hugh Chatham Memorial Hospital are using RightPatient to identify patients accurately, prevent mix-ups, and protect patient records.

Patients are quite receptive to the touchless biometric patient identification platform. During hospital visits, RightPatient takes a photo of the patient and attaches it to the patient’s EHR after running a search to see if it already exists in any other EHR, preventing duplicates. Afterward, these patients only need to look at the camera – RightPatient runs a search and upon finding a match, provides the accurate medical record.

For remote patients, the patients are sent an SMS with a link to provide a selfie and a photo of their driver’s license or similar information – RightPatient compares the photos for a match and remotely authenticates patient identities.

Doing so every time the patient visits, in-person or otherwise, ensures that the accurate information is being fed to the appropriate EHR – preventing transplant mix-ups, patient safety incidents, and even medical identity theft.

How are YOU preventing such disastrous cases at your healthcare facility?

Patient Verification Helps Hospitals Deal with Decreasing Revenue as COVID-19 Cases Rise

August 31, 2021/7740 views / 0 Comments/in BLOG, COVID-19, Data Integrity, Duplicate Medical Records, EHR, healthcare, Medical Record Mix-ups, Patient Errors, Patient Identification, Patient Outcomes, Patient Safety /by Matt Gibson

Hospitals and health systems are constantly being challenged by the pandemic. Sure, COVID-19 has affected virtually every business – many organizations have declared bankruptcy while others have shuttered their doors. However, most, if not all of these organizations, had their employees work from home. Healthcare providers, on the other hand, had to face unprecedented challenges head-on, such as frontline healthcare teams risking their lives, losing billions of dollars, patient verification issues, data breaches, and more.

Unfortunately, it looks like the battle with COVID-19 is far from over for healthcare providers. With the Delta variant once again wreaking havoc, caregivers are experiencing razor-thin margins. That being said, accurate patient verification CAN prevent many issues, helping hospitals survive this challenging period. Let’s take a look at a few stats that show how concerning the new variant is and how positive patient identification can help caregivers.

Some recent statistics that show a rise in margins and expenses

While things were definitely getting better with millions being vaccinated across the U.S. and businesses slowly opening up, the Delta variant of COVID-19 has struck back with full force. While healthcare providers have been facing lower losses and improved margins when compared to the first half of 2020, a new report sheds light on many facts. While many indicators show that things are going in the right direction, some show that the effects of COVID-19 are far from over.

The “median operating margin index” in June was 2.8%, excluding funding from the CARES (Coronavirus Aid, Relied, and Economic Security) Act. When taking funding into account, it was 4.3%.

What do these numbers mean for hospitals and health systems? Well, it’s an increase of almost 90% (excluding CARES Act Funding) or 48.7% (including the funding) when compared to the first half of 2020. All of these numbers are based on 900 hospitals that have participated monthly for the last three years.

When it comes to patient volumes, it’s a mixed bag. Patient volumes were higher when compared to 2020, but lower than they were before the pandemic. For those who want specifics, discharges between January and June of 2021 were 10.1% higher than in the first half of 2020, but when compared to the first half of 2019, patient volumes are down 4.4%. A similar trend can be seen for ER visits in hospitals, i.e. higher than in the first half of 2020 but lower than in the first half of 2019.

Fortunately, the revenue of hospitals and health systems has increased compared to both 2020 and 2019! According to the same report mentioned above, this is because of outpatient visits. “Gross operating revenue,” excluding CARES Act funding for January to June of this year, was 18.2% higher than the same period of 2020 and 7.9% higher than the same period of 2019.

But all of these statistics look good for hospitals, right?

Well, while all of these do look good, expenses have also increased – affecting margins significantly. The first half of 2021 saw an 8.5% rise in expenses when compared to the first half of last year, and an increase of almost 10% when compared to the first half of 2019.

While margins are increasing, expenses are increasing as well

Unfortunately, the COVID-19 pandemic is far from over – the Delta variant has reached the U.S. and has been in the news for the past few weeks. While healthcare providers have opened their doors to regular patients, COVID-19 cases are spiking once again, and this might be detrimental to hospital margins according to an official associated with the study mentioned above.

Hospitals need to identify ways to reduce losses, improve patient safety, and avoid unwanted incidents that hurt the bottom line. But how can patient verification help?

How patient verification helps improve hospital margins

Accurate patient identification has been a topic of discussion for several years now, and identification errors have also given rise to a number of studies.

Accurate patient identification helps

Prevent medical record errors such as duplicate medical records and overlays
Prevent medical identity theft in real-time
Protect patient data integrity
Reduce denied claims by ensuring accurate, consistent information within medical records
Prevent medical errors that might lead to patient safety incidents
Avoid dangerous patient mix-ups, including transplant mix-ups
Ensure CMS compliance by sending out proper e-notifications to appropriate caregivers
Improve patient outcomes
Reduce hospital readmissions

All of the above, when considered together, can drastically reduce losses and improve a hospital’s margin. We know this because our leading patient identification platform has been helping several healthcare providers for years.

Patient verification made easy with RightPatient

A number of healthcare providers have chosen RightPatient to manage their patients’ medical records. In a post-pandemic world, RightPatient’s touchless patient ID platform makes the most sense, as it keeps everyone safe by preventing physical contact (when compared to other methods of identification).

RightPatient reduces denied claims, improves patient safety, prevents duplicates and overlays, and prevents patient identity theft – boosting the bottom line of hospitals.

How are YOU planning to reduce losses and improve margins at your healthcare facility?

Improving Patient Safety in Virtual & In-Person Visits is a Must as COVID Cases Spike

August 26, 2021/6815 views / 0 Comments/in BLOG, COVID-19, EHR, healthcare, HIM, Patient Data, Patient Identification, Patient Outcomes, Patient Safety /by Matt Gibson

While it seemed like the pandemic was waning in the U.S., it looks like it’s far from over. Unfortunately, the delta variant is here to wreak havoc once again – just look at the current scenario of the COVID-19 spikes across the states. The delta variant has even forced the Centers for Disease Control and Prevention (CDC) to update its guidance on wearing masks. CDC has once again asked even fully vaccinated individuals to wear masks, a decision that has sparked backlash and confusion among the general public. That being said, let’s take a closer look at the current situation, what hospitals are doing now, and how improving patient safety during patient visits (both in-person and virtual) is crucial – something that RightPatient can help with.

COVID cases are increasing once again

Florida has seen a huge spike – over 21,000 cases in a single day, and this is the highest since the pandemic! Earlier, the highest number of COVID-19 cases in a single day was slightly over 19,000 for the state.

Florida has also set a new record for COVID-19 hospitalizations – around 10,207 patients who were infected with the notorious virus. The previous record of the state was 10,170 patients per day.

Moreover, in San Fransico, around 233 healthcare workers tested positive for COVID-19, most of who were fully vaccinated.

In Massachusetts, there was a new surge of COVID-19 patients, and almost three-fourths of them were fully vaccinated!

Vaccinations are increasing too, fortunately!

Amongst all of the havoc caused by this new COVID-19 surge, vaccinations are fortunately increasing too. Around 800,000 people were vaccinated on July 25th – the highest doses in a single day in weeks.

How are hospitals responding?

Hospitals, especially in the U.S., never seem to catch a break, do they?

Well, many hospitals, if not all, are facing an increased number of patients – both COVID-19 and otherwise. Unfortunately, the non-COVID-19 cases are due to COVID-19 itself, ironically. These are the patients who couldn’t, or wouldn’t, get healthcare services since the pandemic began.

For instance, according to an official at Stanford Healthcare, they are completely full and are “outstripping” beds every day. These include both COVID and non-COVID cases. However, the non-COVID-19 ones need urgent care as they are quite ill. They delayed elective procedures themselves, or their dates were pushed back, due to, you guessed it, the pandemic.

Many hospitals, as a result, are once again, working hard towards improving patient safety. Healthcare providers are either postponing or reducing non-emergency and elective surgeries at their facilities. Others are changing their visitation policies, such as restricting in-person patient visitors (barring exceptional cases), allowing virtual visits, minimizing patient visitors, and so on.

As for providing healthcare services, the pandemic already showed how telehealth can be used to care for non-COVID-19 patients – the latter can just be in their homes and avail healthcare services. In fact, many healthcare providers are incentivizing patients for using telehealth during the surge. Lee Health, for instance, is waiving its charges for certain virtual visits.

However, the doors are still open for critical non-COVID-19 patients, and for improving patient safety, hospitals need to implement strategies that eliminate physical contact, prevent infection control issues, and improve patient outcomes.

RightPatient can help with all of that, fortunately.

Improving patient safety with RightPatient

RightPatient is the leading touchless biometric patient ID platform used by several healthcare providers. However, other than ensuring positive patient identification, using RightPatient benefits hospitals and patients in several ways.

RightPatient is perfect for the post-pandemic world as it identifies patients accurately safely and hygienically.

For appointment scheduling and virtual visits, patients only need to provide a selfie and a photo of their driver’s license during the registration process – RightPatient does the rest. For in-person visits, patients only need to look at the camera during the registration or verification process.

All of this ensures that the accurate medical record is selected every time, all without requiring the patient to touch any screens or devices – reducing infection control issues.

RightPatient also ensures that accurate information is fed into the appropriate EHRs each time – boosting patient data integrity, improving patient outcomes, and more.

RightPatient ensures accurate patient identification, is touchless, improves patient outcomes, prevents patient safety incidents, and reduces infection control issues for everyone in the facilities.

How are YOU improving patient safety at your healthcare facility?

Misidentification of Patients Can Cause Deaths – How Are Hospitals Preventing Them?

August 20, 2021/6643 views / 0 Comments/in BLOG, EHR, healthcare, Medical Record Mix-ups, Patient Data, Patient Identification, Patient Safety /by Matt Gibson

Unfortunately, misidentification of patients is something that’s still a prominent issue in hospitals and health systems. In fact, just a few weeks ago, there was a patient who received the wrong kidney, which was just one example of the many wrong patient surgery cases. Fortunately, the patient survived but just imagine the implications if the patient didn’t live! Not everyone recovers from patient misidentification mishaps unscratched – some even lose their lives.

Although these cases are occurring more frequently, most healthcare providers are responding reactively rather than being proactive and preventing such cases entirely. That being said, let’s take a look at a couple of other patient mix-up cases and how RightPatient is ensuring identity management in healthcare facilities to avoid such cases.

Misidentification of patients – a few more cases

A patient got the wrong medications

This one is an old story but is worth mentioning since it shows the actual dangers of patient misidentification. A patient, Z, had gone in for cancer treatment and the patient mix-up occurred in a busy registration area, something that is quite typical in hospitals. The EHR user was quite new but followed the facility’s rules – she entered the patient’s name according to the driver’s license. Unfortunately, she clicked on the first EHR that appeared without checking the others or inspecting them to see if this was the patient’s medical record or not. She was oblivious to the fact that there can be other patients with the same exact name – something that is quite a common issue.

The patient was given a wristband with the wrong information. Later down the line, the EHR user asked the patient whether it was accurate or not – the patient responded positively. However, during a testimony down the line, the patient said that he wasn’t wearing any glasses to be able to verify it accurately and was actually depending on the hospital to ensure his safety.

The patient was later sent to a busy area and the nurse asked whether his name was Z or not and also his birthdate – the most common (but unreliable) patient identifiers used. While the patient agreed, a mistake had already been made – as a result, the patient received chemotherapy for an entirely different patient whose name was also Z but had a different D.O.B.

During the same testimony, it was found out that this all happened because of miscommunication – the room was too loud so that the patient couldn’t hear properly, and he also said that the nurse had an accent that was difficult to understand. The nurse, on the other hand, said that the instructions were written as “day 1, day 8”, and she assumed that the patient came in on the scheduled day. All of these problems could’ve been avoided with positive patient identification using RightPatient – more on that later.

Fortunately, while the patient received the wrong treatment, the side effects were few, although, it was classified as wrong medication administration, something that’s quite common when misidentification of patients occurs.

While patient Z was extremely lucky to have survived, not everyone does – just like the patient in the next case.

The wrong patient was taken off of life support

This was quite a devastating case – the wrong patient was taken off life support.

The patient, Samuel (pseudonym), was apparently admitted to St. Barnabas Hospital and was unconscious. Later down the line, it was detected that due to OD, he was left in a vegetative state and required life support. His sister was contacted, and after a few days, she made the very difficult decision to take her brother off of life support.

Afterwards, it was identified that it wasn’t actually her brother but a different person entirely! Once again, this is a case of misidentification of patients. When the actual patient was admitted to the ER, the social security card identified him with his actual name (Samuel Richard Jackson). However, the hospital staff chose the medical record of Samuel Jackson, an entirely different patient. While the patient’s fate might have been uncertain, at least the proper family would’ve been notified if the accurate medical record was chosen.

As can clearly be seen, patient identification errors have severe consequences for everyone involved. The patients receive the wrong medication and treatments, resulting in detrimental healthcare outcomes, hospital readmissions, or even deaths, whereas the healthcare providers face lawsuits, suffer from losses, and lose goodwill. All of this is entirely preventable by ensuring accurate patient identification.

RightPatient eliminates misidentification of patients

RightPatient has been protecting millions of patients in several healthcare facilities with its touchless biometric patient identification platform. During the registration process, it attaches a photo of the patient to their EHR, “locking” them essentially. Even if a patient with the same name or characteristics comes up, the registered patients’ records will be safe, since their faces don’t match.

By identifying patients accurately right from appointment scheduling, check-in, and beyond, RightPatient eliminates chances of duplicate medical records, overlays, and patient mix-ups.

How are YOU preventing such mix-ups within your healthcare facility?

Another One Added to Wrong Patient Surgery Cases – Is Patient Misidentification To Blame?

August 1, 2021/7909 views / 0 Comments/in BLOG, EHR, healthcare, Medical Record Mix-ups, Patient Errors, Patient Identification, Patient Outcomes, Patient Safety /by Matt Gibson

We’ve been talking about patient misidentification for quite a long time now, and for very good reasons. While many think that patient identification errors in hospitals are not that common or serious, but every now and then, a piece of news comes up that shows just how serious it can be. This time, a patient received a kidney that was actually meant for someone else – can you imagine? Without further ado, let’s dive deep into the unfortunate tale and see how wrong patient surgery cases can be prevented with positive patient identification.

A classic case of transplant mix-up

This unfortunate case of transplant mix-up is exactly what we warn healthcare professionals against – we’ve seen our fair share of wrong patient surgery cases.

It occurred in University Hospitals (UH) on the 2nd of July, and fortunately, the recipient survived, as the kidney was compatible with the patient. The patient is slowly recovering, according to a spokesperson, and the surgery of the actual patient who was supposed to get the kidney has been delayed. UH also notified UNOS (United Network for organ Sharing) about the transplant mix-up.

Moreover, UH isn’t divulging any more details about the situation as of now – they are analyzing the situation, investigating what caused the issue, and are working so that it never occurs again. However, the employees that were involved with the medical error are on administrative leave until the issue is figured out.

However, while this might seem quite unusual, wrong patient surgery cases do occur every now and then – something which we can confidently say occurs because of patient mix-ups due to poor patient identification systems.

Wrong patient surgery cases are uncommon, but not unheard of

Back in 2019, before the pandemic changed everything, wrong patient identification led to another transplant mix-up in Lourdes Hospital Transplant Center (which we’ve covered already). Coincidentally, it also was a case of a kidney transplant.

However, this was a much more transparent case as the patients had a similar name and age – something that we very well know leads to patient mix-ups, among other things. Fortunately, in that case, the patient who got the kidney survived as it was a perfect match.

This case was also reported to UNOS and the patient who was supposed to get the kidney had the transplant down the line.

However, in UH’s case, the patient who’s supposed to get the transplant is still on the waiting list. As already mentioned, UH isn’t releasing any details about the mix-up – but we are too familiar with such cases.

Wrong patient surgery cases occur due to poor patient identification

In Lourdes Hospital Transplant Center’s case, the patients had common names and were of similar age. This is a classic case of patient identification errors. Patient’s medical records are usually mixed up during registration, and if they have common characteristics, such devastating cases are generated.

We believe that whatever occurred in UH was due to patient misidentification, or the lack of proper patient identification.

Medical record mix-ups, poor quality patient data, medication administration errors, wrong transplants, detrimental healthcare outcomes, mistreatments, and adverse incidents are just some of the consequences of poor patient identification, and can even claim patients’ lives. The patients involved in the two wrong patient surgery cases above are extremely lucky to be alive – not everyone makes it out alive.

Such transplant mix-ups or patient mix-ups are deadly, but they ARE preventable – as long as the healthcare provider is ensuring accurate patient identification. We’re so concerned about such cases is because we help responsible hospitals and health systems prevent patient mix-ups with our industry-leading touchless biometric patient identification platform, RightPatient.

RightPatient prevents patient mix-ups and patient safety incidents

RightPatient prevents patient identification errors right from the start. It takes patients’ photos during registration and locks the medical records with them. Whenever a patient comes up later on, the platform provides the accurate medical record after comparing the saved photo with the live one. This makes sure that patient mix-ups are eliminated, as it uses the one characteristic that cannot be mixed up – patients’ faces.

RightPatient has a vast amount of experience with ensuring accurate patient identification in several hospitals and health systems, and we’re confident that it could’ve prevented such cases.

Are you preventing such mix-ups at your healthcare facility effectively?

Another Patient Misidentification Case Shows Why Hospitals Must Prevent It

July 28, 2021/7277 views / 0 Comments/in BLOG, EHR, healthcare, Medical Record Mix-ups, Patient Data, Patient Identification, Patient Outcomes, Patient Safety /by Matt Gibson

Patient misidentification strikes again. It’s not surprising at this point, as patient misidentification cases have been occurring frequently in hospitals and health systems. There are a plethora of consequences attached to it, which is why patient safety goals quite frequently have “improving patient identification” listed as one of the top goals to address. That being said, let’s take a look at the patient identification error in detail and how these cases are preventable with a robust patient ID solution.

A recent occurrence of patient misidentification, but certainly not the last one

Fortunately, the problem was detected before it caused any patient harm. While the patient, Ronnie (pseudonym), was waiting for a virtual visit, she was trying to convince the medical assistant that she didn’t have the rare condition called hereditary nonspherocytic hemolytic anemia. Ronnie doesn’t know how it got added to her EHR, however, that was not her only concern regarding the matter. As she was trying to get this inaccurate information removed, she experienced a lengthy and tedious process.

The assistant informed Ronnie that only the person who added the condition can remove it – EHRs are quite sensitive documents, and access to modify them is restricted to only a handful of people. However, the assistant provided the name of the doctor, and the surprise here is that Ronnie had never had any physician by that name.

The assistant was adamant that Ronnie might have had some encounter she forgot about – for instance, it might have occurred in an ER visit. However, Ronnie never went to the ER and got diagnosed with such a rare condition. She backed up her statement by adding that if she actually had hereditary nonspherocytic hemolytic anemia, she would’ve been informed about it. The assistant just reiterated that the physician has added it. Most probably, this occurred because Ronnie’s EHR was mixed up with some other patient and it was a condition that belongs to another “Ronnie” – a classic case of medical record mix-up caused by wrong patient identification.

Unfortunately, the tale doesn’t end here – there’s far more to it.

Ronnie had to go to extreme lengths to address the problem. As the discussion with the medical assistant got her nowhere, the condition was still present in her EHR. When Ronnie explained it to her physician, the latter tried to remove it but couldn’t, and neither could Ronnie’s other physicians. After trying everything, Ronnie submitted a formal request to modify her EHR – something many patients need to do to resolve patient identification errors.

We believe that Ronnie’s among the lucky ones – many such cases remain undetected until it’s too late, causing detrimental healthcare outcomes.

EHRs are beneficial but are bogged down due to patient misidentification

EHRs have a host of benefits and have been helping physicians see everything in one place, improve patient outcomes, and more. However, since EHRs contain sensitive information, editing them to rectify the errors is quite cumbersome – just look at the case above! Moreover, since caregivers have to share with other physicians due to coordinated care, these errors are seen by everyone involved in the patient’s treatment.

This is just one case, and fortunately, Ronnie was able to identify the issue. As previously mentioned, this might have occurred because of a medical record mix-up – we know, because we’ve heard about numerous cases from hospitals and health systems. Unfortunately, there are thousands of patient identification errors in hospitals that are undetected and cause a plethora of issues – both financial and physical. How do we know so much about patient misidentification?

Because our touchless biometric patient identification platform, RightPatient, prevents it and helps healthcare providers identify their patients correctly at all times.

RightPatient ensures accurate patient identification at all touchpoints

RightPatient could have very well prevented the error in this case study – we have prevented such cases in numerous hospitals and have even drastically reduced duplicate record creation. The patients only need to look at the camera – our platform does the rest. During registration, RightPatient takes a photo of the patient and attaches it to the EHR. Whenever the patient comes in, the platform takes another photo and matches it with the saved one – providing an accurate EHR every time.

RightPatient has been protecting millions of patient records in several hospitals and health systems. It ensures accurate patient identification, prevents medical identity theft in real-time, prevents duplicates and overlays, and more – ensuring positive patient outcomes.

Don’t become a mistaken patient identification story and contact us now to see how we can help you boost your bottom line.

Preventing Wrong Patient Errors Can Mitigate Hospitals’ Losses During the Pandemic

November 10, 2020/8684 views / 0 Comments/in BLOG, healthcare, Patient Data, Patient Errors, Patient Identification, Patient Outcomes, Patient Safety /by Matt Gibson

The US healthcare system has been facing one of its worst periods in decades due to the pandemic. Not only does the US have the highest number of COVID-19 cases in the world, but because of this – as well as the cancellation of elective procedures, regular appointments, etc. – its healthcare system is also facing unprecedented financial strain. AHA has estimated that $323 billion will be lost this year – can you believe that? In order to cope with this financial strain, providers are having to lay off employees, close down facilities, introduce furloughing, and some are even shutting their doors permanently. But are these cost-cutting strategies enough, or should providers also look into improving other areas that can help mitigate losses, such as reducing wrong patient errors? Let’s explore some of the recent losses incurred by hospitals, how some of them are trying to cope with it, and how upgrading the patient identity verification process can significantly reduce costs.

Consequences hospitals are facing due to the pandemic

M Health Fairview will lay off 900 and more

The health system stated that 16 of its 56 clinics in Minnesota and Wisconsin will be closed, it will shut the doors of its 90-bed Bethesda Rehabilitation Hospital, and will also reduce some of the services it offered at St. Joseph’s Hospital. Moreover, neurology and bariatrics, as well as other specialties, will be moved to other facilities, and it will also close the doors of St. Joseph’s ED at the end of 2020. All of this is being done to cope with the financial losses that the pandemic introduced – around $250 million – leading to the layoff of 900 employees.

Saint Luke’s Health System will close 2 hospitals

Missouri’s Saint Luke’s Health System has made the hard decision to close down two of its community hospitals at the end of this year. While it has been reported that it’s being done to streamline services, these hospitals have seen lower patient volumes – a direct result of the pandemic. They’ve also stated that the hospitals are being closed to help deal with the pandemic more efficiently.

Wellforce laid off 232 employees

Wellforce, located in Massachusetts, laid off 232 employees due to the losses caused by the pandemic. Quite naturally, some of its facilities faced huge reductions in patient volume, leading to an operating loss of around $32 million. Prior to that, the health system had opted for furloughing over 700 employees and introduced pay cuts for others. It even subsequently culled many of the affected employees, ultimately laying off 232 of them.

Why these techniques might not work

While healthcare providers are doing everything they can to offset the losses caused by the pandemic, it’s clear that strategies like pay cuts, furloughs, or laying off employees will not be enough, and may have undesirable consequences for the future.

For instance, when potential employees see that a hospital is laying off its employees, they’ll lose faith in it and apply at other workplaces. As a result, hospitals will lose out on talented individuals. Many are even laying off their topmost officials – it might be hard to find someone else to fill that position when the candidates see what happened to their predecessor!

Moreover, even after implementing such cost-cutting strategies, many are still having to resort to others as well – look at Wellforce, for instance. While these strategies might reduce costs, what about reducing costs by eliminating other financially significant issues, such as wrong-patient errors?

Preventing wrong patient errors can reduce more costs than you think

Patient identification errors have always been a huge issue within the US healthcare system. Especially during the pandemic, it is now causing more errors than ever – wrong patient data, mix-ups, and inaccurate healthcare outcomes are some of the unfortunate consequences.

Incorrectly identified patients lead to more duplicate records, preventable medical errors, litigation costs, denied claims, and more – all of these cause hospitals to lose a lot of money. Moreover, if caregivers don’t have an effective patient identifier in place medical identity theft cannot be detected in real-time, which leads to significant costs down the line.

Looking to the future, healthcare providers will need to ensure CMS (Centers for Medicare/Medicaid Services) compliance by supporting e-notifications by May of 2021. If the facilities are suffering from wrong-patient errors, the caregivers will lose out on CMS reimbursements in the future.

It’s quite clear that preventing patient identification errors is a feasible strategy to reduce costs, but how should caregivers do so?

RightPatient effectively prevents wrong patient errors

RightPatient has been the touchless patient identification platform of choice for several caregivers. By confirming patients’ identities using their photos, RightPatient ensures that all the issues associated with patient misidentification are eliminated. Even medical identity theft can be prevented – fraudsters are flagged when they face its verification process, reducing significant costs for providers and enhancing patient safety.

Contact us now to learn how we can help mitigate your losses and ensure accurate patient identification across the care continuum.

Wrong Patient Identification Errors Lead to Several Issues – Are You Preventing Them?

October 30, 2020/13560 views / 0 Comments/in BLOG, Data Integrity, EHR, healthcare, Medical Record Mix-ups, Patient Errors, Patient Experience, Patient Identification, Patient Matching, Patient Outcomes, Patient Safety /by Matt Gibson

Patient identification has always been hit or miss within the US healthcare system. Wrong patient identification errors cause a plethora of serious issues for not only healthcare providers but also patients. Patient mix-ups, patient safety issues, medical identity theft, duplicate medical records, and overlays are just some of the many issues that can be traced back to patient identification errors. These issues have been popping up even more during the pandemic, leading many experts to demand a patient identifier. While we’ve talked about all of that in previous articles, let’s take a look at a very recent patient mix-up, its consequences, and how positive patient identification can prevent such cases.

Another one added to the list of wrong patient identification

The mix-up took place back in August at Washington-based Sacred Heart hospital. Interestingly, the person with whom the hospital mixed up the information was a former patient of the healthcare provider.

For simplicity’s sake let’s call the actual patient Samantha and the former patient (who got the call) Rebecca.

Back in August, Rebecca’s daughter was called and she was informed that her mother was hospitalized due to a critical injury. However, the daughter responded that Rebecca was right in front of her and fine, but the staff at the hospital was adamant and said that her mother was injured and admitted. Understandably, Rebecca was quite worried about the real patient, Samantha.

Rebecca and her daughter reportedly informed the healthcare provider that they had a case of mix-up on their hands – she said that she didn’t know who was being treated under her name or why. In response, she was told that the hospital would rectify the issue. However, that was only the start.

What happened down the road?

Since Rebecca was a former patient of Sacred Heart, she checked her records to see if it was fixed or not. Unfortunately, the wrong information was still present, and to make things worse, other irrelevant materials were added, such as $3,000 worth of bills. Moreover, the provider also tried to bill her old insurer, which naturally didn’t work. Subsequently, the provider attempted to help her get insurance.

The actual patient was safe

Rebecca heaved a sigh of relief when she found out that Samantha was out of danger – she kept in contact with the hospital over the phone. When this was over, Rebecca was also relieved that she didn’t receive the wrong bills as a result of the mix-up.

Wrong patient identification errors are quite common

While this case didn’t have any adverse consequences, not everyone is as lucky. Wrong patient identification errors occur every day and most are not identified until it’s too late. Not only are they problematic for patients, but they create issues for caregivers as well.

Patients face delays in treatment, incorrect procedures, and repeated lab tests – ultimately hampering patient outcomes as well as jeopardizing patient safety in the process. Moreover, they receive shocking bills for medical procedures or treatments they never received. The lucky ones can have them written off as denied claims, but this is still a huge cost for the providers.

On the other hand, healthcare providers face unwanted attention, loss of goodwill, denied claims, lower scores, and might even risk losing CMS reimbursements (as they are tied to patient safety).

All of this is leading to healthcare experts and leaders rallying for a state-funded patient identifier. While this appeal has been denied for over two decades, forward-thinking hospitals and health systems are not waiting for it, and have taken the initiative themselves to eliminate issues related to wrong patient identification errors.

Leading providers are using RightPatient

RightPatient is the industry’s leading touchless patient identification platform trusted by providers such as Grady Health, Catholic Health of Long Island, Terrebonne General Medical Center, and University Health Care System. Using the photos of patients, it prevents patient identification issues like mix-ups, duplicates, medical identity theft, denied claims, and more.

After successfully scheduling an appointment, patients receive an SMS or email, after which patients are required to provide a personal photo and a photo of their driver’s license. RightPatient matches the photos automatically and verifies the identity of the patients remotely.

Be a responsible healthcare provider and prevent mix-ups and the issues associated with patient misidentification by deploying RightPatient.

Healthcare’s most significant issue – Improving patient safety

August 2, 2019/6211 views / 0 Comments/in BLOG, EHR, healthcare, Patient Experience, Patient Identification, Patient Safety /by Matt Gibson

Whenever medical records do not match with patients and are out of sync, all kinds of problems occur for everyone involved, both physically and financially. Keeping this in mind, patient matching errors seem never-ending. Is there a solution? Is there anything which will help in improving patient safety?

A look at what patient matching errors are capable of

Let us see an example to understand the gravity of the situation presented by patient misidentifications. In the year 2016, a mistakenly identified patient’s kidney was already taken out, and by the time the doctor realized that the patient had no tumor, it was already too late. This disaster had occurred due to mix-ups of test results of patients sharing the same name. This incident was kept under wraps until government officials looked into the issue to know precisely what happened, and it became public knowledge. However, most people, as usual, thought that this blunder was one in a million cases. It was a blunder; however, it was not one in a million cases – it is a common scenario.

Such phenomenons occur almost every day within any given healthcare provider, big or small, all over the US. The hospital personnel very casually presume the EHRs they click on are the accurate ones which include patient data like history, diagnoses, test results, and so on. This type of behavior is reckless and can result in grave consequences for the patients.

This is sadly the most overlooked but one of the most dangerous problems the healthcare industry faces – patient misidentification. It is the worst kept secret of the industry and has been the talk of the industry by many groups for years. Now, the question on everyone’s minds is what is being done for improving patient safety?

Problems associated with patient safety issues

The most common type of patient matching errors faced by healthcare providers occurs when two patients have the same name. For instance, Samuel L. Jackson, S. E. Jackson, Samuel Luis Jackson, and Sam Jackson may indicate the same individual, but inadvertently, or to save time by not searching for the proper record, the hospital staff may have made four individual records for the patient. To make matters worse, this may not even be known by neither the doctor nor the patient while making treatment plans. Such duplicate records can lead to grave consequences as well – if they get merged, can lead to wrong treatments, medications, and sometimes even removal of completely healthy organs like the example above.

According to a recent study, one EHR out of five in a single healthcare provider is a duplicate record. That is not all; the problem only gets worse when different organizations try to share these EHRs. Even when two separate organizations share the same EHR software, match rates are only around 50%.

What other problems arise from patient matching errors?

It is not just about patient safety, although it is the biggest concern of inaccurate patient matching. It is one of the costliest mistakes for any given healthcare system, as each correction of the records costs from $1000 to a whopping $5000, depending on the severity of the issue. Thus, this is a multibillion-dollar problem in the healthcare industry. Also, if there have been cases of patient matching errors, some healthcare providers recommend another round of medical tests to be sure.

There has also not been any national patient identifier other than EHRs, which is the cause of the patient matching errors in the first place. The problem lies with the fact that the healthcare providers decide what kind of information they want to keep and what to omit, as these create fragmentations regarding patient data. In other developed countries, this problem is tackled by a unique patient identifier, such as a number, so that even if the patients are sharing commonalities, it will be canceled out by the number which is unique for each patient. Unfortunately, the USA is the only first-world country without such an identifier due to privacy concerns back in 1996.

What is the solution for improving patient safety?

Many healthcare systems have waited it out for a proper patient identification solution which will work towards improving patient safety, and it looks like it paid off. Many healthcare providers are using solutions like RightPatient. It is a biometric patient identification system which utilizes iris scanning. Well-known health systems like University Health Care System are already using it and are reporting promising results. Patients love it, as they do not need to carry any IDs. All they need to do is look at the camera and get their irises authenticated, and it pulls their medical data from their EHRs, it is that easy. All of this saves time in the patient identification process. Also, it is safe and hygienic, as no physical touch is required; thus, no risk of diseases via contact. Hundreds of health systems are using RightPatient and are reiterating the same thing – enhanced patient safety, better patient experience, and reduced denied claims.

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

February 9, 2018/14231 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.