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

February 9, 2018/13231 views / 0 Comments/in AI, Analytics, Artificial Intelligence, Big Data, BLOG, Data Integrity, data mining, Health Care, healthcare, Medical Record Mix-ups, Patient Errors, Patient Identification, Patient Matching, Patient Outcomes, Patient Safety, population health, precision medicine, Predictive Analytics, value-based care /by Mizan Rahman

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

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

Current state of U.S. healthcare

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

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

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

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

Challenges in moving to a population health solution

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

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

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

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

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

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

How RightPatient Prevents Chart Corrections in Epic and Other EHRs

January 29, 2018/11324 views / 0 Comments/in BLOG, Chart Corrections, Data Integrity, Health Care, healthcare, Medical Record Mix-ups, Patient Errors, Patient Identification, Patient Matching, Patient Outcomes, Patient Safety, value-based care /by Michael Trader

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

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

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

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

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

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

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

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

January 15, 2018/11362 views / 0 Comments/in Analytics, Big Data, BLOG, Data Integrity, data mining, Health Care, healthcare, Medical Record Mix-ups, Patient Errors, Patient Identification, Patient Matching, Patient Outcomes, Patient Safety, precision medicine, Predictive Analytics, value-based care /by Mizan Rahman

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.?

January 11, 2018/11660 views / 0 Comments/in AI, Artificial Intelligence, BLOG, Health Care, healthcare, Medical Record Mix-ups, Patient Errors, Patient Identification, Patient Matching, Patient Outcomes, Patient Safety, Privacy /by Patrick May

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.

Prevent Patient Record Mix-Ups Before It’s Too Late

September 6, 2017/10327 views / 0 Comments/in BLOG, healthcare, Medical Identity Theft, Mobile, Patient Identification, Patient Safety, Photo Biometrics /by Mizan Rahman

It’s no secret that patient identification is a challenge, but unfortunately, a frightening number of “wrong patient, right procedure” mix-ups still occur every day in hospitals and health systems around the country.

For example, an article published on bostonglobe.com highlighted a case at UMass Memorial Medical Center where a patient was mistakenly diagnosed with cancer and underwent unneeded medical procedures before hospital staff discovered a mix-up with the patient’s CT scan results. And, according to the article, this is far from an isolated case of mistaken patient identity at this hospital.

The good news is that there are tools that can help hospitals and health systems prevent such dangerous mistakes.

The RightPatient® Cloud, for example, is designed to prevent mix-ups and cases of mistaken identity by streamlining patient identification procedures and reducing the risk of human error—all while dramatically increasing the chances that the right patient receives the right treatment from the right providers.

Most hospitals and health systems rely solely on patient identification procedures that require healthcare staff to use two pieces of patient information, such as full name and date of birth, to match patients to their medical records.

However, in today’s bustling healthcare atmosphere, it can be easy for healthcare staff to forget to perform proper patient identification procedures. And, many patients do not speak English, are unconscious or have similar names and birth dates, all of which increase the risk of medical mix-ups.

Healthcare regulators and public health officials are increasingly sending the message to hospitals and health systems that the time to make changes to patient identification procedures is now—before a potentially disastrous mistake occurs.

By implementing the RightPatient system, hospitals can eliminate patient identification guesswork for healthcare staff. That’s because the RightPatient system captures a photo of each patient upon admission to the hospital.

After the patient is enrolled in the system, the patient’s medical record is locked and can only be opened using the patient’s unique biometric identifiers. The system can be installed on any smartphone or tablet, making it portable enough to meet the unique needs of staff and patients.

Although hospitals are spending millions of dollars on electronic health record systems, population health software and other advanced equipment to protect patients and streamline operations, most of these systems overlook a fundamental aspect of patient safety: Ensuring that healthcare staff are accessing the right records and providing the right care to the right patient.

The bottom line is that healthcare consumers go to hospitals to get well and hard-working doctors and nurses do everything in their power to make that happen. When patients are not identified correctly, bad things happen.
The sad fact is that one simple medical record mix-up resulting from a patient mismatch is all that it takes to throw a patient and their family into distress, negate the hard work and dedication of the doctors and nurses who are trying to help, and damage the reputation of the hospital where the incident occurred.

With RightPatient, all that is required to eliminate these risks is a simple snap of a camera when a patient walks into the hospital. That doesn’t sound like too much to ask, does it?

New Partnership with CrossChx Signals Positive Changes for Patient ID

July 17, 2017/6412 views / 0 Comments/in BLOG, Comments On Recent Biometric News Stories, Future of Biometrics, healthcare, Partnerships /by John Trader

In case you missed it, on Friday we officially announced a new and exciting partnership agreement with CrossChx. Under the terms of the partnership, CrossChx customers can easily transition their existing SafeChx biometrics solution to RightPatient, while continuing to utilize other CrossChx products such as Olive artificial intelligence.

Announcing a new partnership with CrossChx to help expand the use of biometric patient ID tech in healthcare.

The healthcare industry continues to suffer the ill consequences of inaccurate patient identification, jeopardizing patient safety and the quality of care. RightPatient helps to alleviate patient misidentification and instantly and accurately identifies patients by capturing their photo. This photo is linked to a patient’s unique medical record and travels with them throughout a healthcare provider’s network to ensure safety during care delivery. Plus, clinicians at hospitals that use our patient identification service have commented that they love having a patient’s photo before administering services to help humanize care delivery and help patients feel welcome instead of just thinking they are a name and a number. We love to hear this!

Take notice because the winds of change are shifting for patient identification in healthcare. More providers recognize and understand the advantages and benefits of modernizing their patient ID technology and many are taking a very close look at the advantages that our service offers. Keep in mind that implementing a biometric patient identification service offers additional advantages above and beyond patient safety – most notably improvement in revenue cycle management, increases in patient data integrity, and prevention of fraud and medical identity theft at the point of service.

Read more about our new partnership with CrossChx here.

Have questions? Drop us an email at: info@rightpatient.com

Mobile Patient Identification with the RightPatient Smart App

June 15, 2017/10491 views / 0 Comments/in BLOG, Connected Health, Data Integrity, Future of Biometrics, healthcare, Mobile, Patient Identification, Patient Safety, Photo Biometrics /by Michael Trader

Amidst the hoopla and chaos of this year’s HIMSS conference in Orlando, we introduced a new feature for our cloud-based RightPatient biometric patient identification solution: the RightPatient Smart App. This is ~~kind of~~ a big deal for the healthcare industry because the RightPatient Smart App has the power to turn any smartphone or tablet into a powerful patient recognition device.

In other words, this is anything but a ho-hum development in the concerted effort to adopt more modern patient ID technology. Allow me to explain…

As we have written about before, increased recognition of the critical importance of accurate patient identification for patient safety has played an important role in our own research and development of the RightPatient cloud biometric patient identification solution. I don’t think I’m alone in saying that most patients see patient identification as the part of our healthcare experience that starts with sitting in front of a registrar at a healthcare facility so they can obtain our insurance information and make sure we are who we claim to be.

However, anyone who has spent time as a patient in a healthcare environment knows that most medical facilities don’t stop with establishing accurate identification at the point of registration. You may have your ID checked before medication disbursement, prior to the administration of a medical procedure, or perhaps just before surgery. This is important for patient safety, and to reduce the risk of adverse events from wrong patient procedures.

The problem is that many patient identification mistakes are still regularly made across the healthcare industry. This can cause irreparable harm to patients and providers in many cases. Fortunately, we provide the most innovative technology in the market to solve this problem.

For example, the RightPatient Smart App is a modern, mobile patient identification solution that fills an important void to help healthcare organizations improve compliance and patient safety. Here is a breakdown of the Smart App features and their value to patient identification in healthcare:

Mobile patient ID ubiquity: As mentioned earlier, the RightPatient Smart App turns any smartphone or tablet into a powerful mobile patient identification tool. Is this a big deal? Absolutely. The Smart App improves the ability of clinicians and others responsible for care administration to be responsible stewards of patient safety and compliance. It can be used as a multi-factor authentication tool along with another form of identification or act as a standalone patient ID device. Recognize patients anywhere, anytime, with any smart device.
Patient photo: The Smart App matches against the patient photo that was captured by RightPatient during registration for positive identification. We have previously written about the importance of capturing high-quality patient photos and linking them to their electronic health records. RightPatient ensures that a standardized, high-quality enrollment photo is always captured. This increases the efficacy of the Smart App and ensures that providers have images that they can rely on for clinical context.
Identifying unconscious patients: There are few things in healthcare more risky than treating an unconscious patient without access to their medical history. The RightPatient Smart App allows clinicians to easily identify unconscious patients through their smartphone to retrieve the patient’s medical record. The Smart App opens the door for accurate patient identification in traditional and non-traditional settings (e.g. – oncology, medical records release, EMTs, home health) – places where perhaps verifying a patient’s identity is required but may not have traditionally been on the compliance radar. The Smart App fills in the patient ID compliance holes that exist in a healthcare organization – enabling higher levels of patient safety and helping to reduce medical errors and risk.

Medical errors caused by patient misidentification will continue to rise with increased data sharing and human error. In fact, the ECRI institute recently included patient identification errors in its most recent annual top-10 list of patient safety concerns. Powered by the RightPatient cloud platform, the Smart App will strengthen patient safety, reduce risk, and more effectively humanize the healthcare experience – a critical element of improving patient satisfaction and empathetic care delivery. Design and development of this new feature was a direct result of our 15 years of experience in biometric technology, listening to the needs of our customers, and delivering a practical solution that increases the power and reach of our industry-leading patient identification technology. You asked. We listened.

Have questions about the RightPatient Smart App? Drop us an email at info@rightpatient.com or visit here to request a free demo.

The True Meaning of Patient Identification Innovation

June 8, 2017/7635 views / 0 Comments/in BLOG, Facial Reciognition, Future of Biometrics, healthcare, Infection Control, Medical Identity Theft, Patient Identification, Patient Safety /by John Trader

The following post on patient identification innovation was submitted by Michael Trader, Co-Founder of RightPatient®

I get it. Change is hard. It’s human nature to resist change, yet as we are often reminded, true progress in life comes when we step “outside the box” and “outside of our comfort zone” to change our perspective and foster growth (thank you mom and dad for that advice) Despite our inherent inability to accept it, change is inevitable and a fact of life. Anywhere you look around, change exists in one form or another and there is little doubt that change can be challenging.

Patient identification “innovation” is defined by the ability to address both present and future complexities and nuances of patient behaviors.

In the healthcare industry, patient identification as we know it is going through radical changes. While this may have been breaking news a few years ago, most in the industry are now well aware that traditional patient identification methods are no longer effective and have the potential to place a patient in harm’s way via medical errors, duplicate records, and medical identity theft. As more healthcare organizations recognize and understand the importance of abandoning antiquated patient ID procedures in favor of more modern, secure technology to improve patient safety I think it’s important to put into context what it actually means to be “innovative” in patient identification. In other words, I often see the word “innovative” used to describe technology solutions built to only address one facet of patient ID instead of being designed to not only address the complexities of today’s environment, but also equipped to cover the challenges of patient identification in the future.

I recently wrote a post for Health Data Management where I discuss how the behavior of current and future generations plays an important role in designing patient ID technology that has the capability to ID a patient no matter where they enter and exit along the care continuum. This is an important innovation “ingredient” that must be built into any modern patient identification solution and any technology that limits where and when healthcare organizations can accurately identify a patient is simply not innovative.

How does RightPatient define patient identification innovation? I’m glad you asked.

When we began our patient identification technology solution journey a few years ago we understood a key fact that is often overlooked and frequently not factored into the discussion and analysis of platforms designed to address the complexities of today’s patient ID environment. That simple fact is that the digitization of the industry has broke down traditional barriers of where and when a patient can either receive care along the continuum or access protected health information (PHI). Patients seeking care or data access no longer see brick and mortar healthcare facilities as the first and only place where they can consume healthcare.

The dawn of patient portals, telemedicine, connected health apps, and other virtual environments has fundamentally altered healthcare consumption by shifting care from traditional environments to virtual ones. For many patients, the first thought when they seek care or data access is to grab their phone, or login to their PC or tablet instead of hopping in their car and driving to the doctor’s office or local emergency department (ED). To us, innovation is bringing to market a patient identification solution that has the capability to truly address patient identification at ANY point along the care continuum, brick and mortar OR virtual environments.

RightPatient’s innovative spirit doesn’t stop there. We also define patient identification “innovation” by these additional solution attributes and milestones in our company’s history:

The RightPatient team was recently honored to be named a finalist in the CHIME National Patient ID Challenge. This is a true testament to the viability of our biometric patient identification solution and it should be noted that RightPatient was the only entry submitted from an individual/vendor who currently has customers actively using the technology in the healthcare market.
We officially launched the RightPatient Smart App during this year’s HIMSS show, which turns any smartphone or tablet into a powerful recognition device. The RightPatient Smart App uses augmented reality and deep learning to identify patients, can quickly and easily identify unconscious patients, allows clinicians to verify a patient’s identity bedside prior to medical procedures, and has the potential to drastically improve patient safety and reduce the risk of adverse events.
We built the RightPatient platform to enable healthcare organizations to capture a high resolution image of the patient during the enrollment and identification process. This photo is immediately linked to the patient’s unique medical record and subsequently stored in our cloud environment, following them wherever they go within the care continuum. The photo allows healthcare organizations to verify a patient’s identity in virtual environments (e.g. telemedicine, patient portals) outside of brick and mortar settings. After all, the value of any patient identification technology rests in its ability to accurately ID a patient, no matter where they are. Patient photos also help to humanize health IT by putting a face to a name. Many of our existing customers have commented that the patient’s photo helps them to personalize their approach and make patients feel safer and more comfortable.
The RightPatient patient identification solution uses photo biometrics to identify patients, a non-contact, hygienic form of biometrics that supports hospital infection control policies. Considering the increased attention on managing infection control in healthcare by keeping hands clean, we understood that patient ID innovation meant offering a solution to providers where a patient does not have to make physical contact with a biometric hardware device to avoid the spread of germs and illness.

We continue to innovate and evolve parallel to the rising challenges of establishing accurate patient ID in healthcare. For us, understanding the true meaning of patient ID innovation means designing and building a solution that not only address today’s obstacles and complexities, but has the flexibility to adapt to the challenges of tomorrow.

For a free, no obligation demo of the RightPatient patient identification solution, please contact us.

Michael Trader is President and Co-Founder of RightPatient®. Michael is responsible for overseeing business development and marketing activities, government outreach, and for providing senior leadership on business and policy issues.

Patient Identification Deployment Video: Community Medical Centers

June 2, 2017/6191 views / 0 Comments/in BLOG, healthcare, Infection Control, Patient Identification, Patient Matching, Patient Safety, Photo Biometrics /by John Trader

using-RightPatient-for-patient-identification-to-increase-patient-safety

Community Medical Centers implemented RightPatient using photo biometrics for patient identification to increase patient safety.

There are myriad reasons why a healthcare organization seeks to implement a biometric patient identification solution. It could be to prevent duplicate medical records. Or, perhaps to increase revenue cycle management efficiency and returns. Maybe it’s in an effort to better protect patient medical identities. Whatever the reason, there is one recurring theme that is a constant in all biometric patient ID deployments – increasing patient safety.

A desire to improve patient safety by ensuring accurate patient identification was an important underlying goal for Community Medical Centers (CMC) when they made the decision to invest in RightPatient. Staff at CMC knew that RightPatient was an important part of their overall strategy to prevent medical record mix-ups and protect patients from error.

The staff at CMC assembled a video overview of their RightPatient deployment providing insight into the enrollment process and factors that led to their implementation decision:

As explained in the video, RightPatient is an image-based patient identification solution – a non-invasive, hygienic (non-contact), and easy-to-use technology that instantly links a patient’s photo to their unique medical record. In the case of CMC and many other RightPatient customers, the software becomes a seamless module of the Epic EHR workflows through a low-level integration.

Backed by 15 years of experience in biometric technology, RightPatient remains the industry’s most versatile and scalable biometric patient safety system, leveraging a powerful cloud-based intelligence engine to recognize patients by simply capturing their photo.

Our thanks to the staff at CMC for creating this patient identification deployment overview video!

If you want more information or would like to see a demo of RightPatient, please contact us.

Patient Safety a Focal Point for Latest RightPatient Deployment

May 23, 2017/6644 views / 0 Comments/in BLOG, healthcare, Iris Recognition, Medical Identity Theft, Patient Identification, Patient Safety, Revenue Cycle Management /by John Trader

Community Medical Centers recently implemented RightPatient to improve patient safety and revenue cycle management. (Photo courtesy: The Fresno Bee)

Working to help increase patient safety in healthcare, Community Medical Centers (CMC) in Fresno, CA knew that implementing RightPatient using photo biometrics for patient identification was a step in the right direction. With a quick snap of a camera, patients can now rest assured that their medical identities are protected and clinicians will always have the most up-to-date, comprehensive medical record in their possession during treatment and care.

The benefits of RightPatient extend beyond protecting patient medical identities however. A recent article in The Fresno Bee that covered the deployment of photo biometrics for patient identification at CMC illustrates the negative effect that chart corrections were having at the facility and how this was impacting revenue cycle management. The article states:

“Charting errors usually are caught early, before any treatment begins, but having to move information into the right chart is time consuming and expensive: Community Medical Centers spends about $190,000 a year to research and correct mismatched charts, she said. And that amount doesn’t include the approximately $300,000 a year the hospital system has estimated it loses on accounts that can’t be billed to insurance companies because the patient identification is incorrect.” (Source: http://bit.ly/2qaFJtw)

RightPatient helps establish accurate patient identification to ensure proper billing at CMC with the potential to drastically reduce chart corrections and increase CMC’s revenue collections. This is often an overlooked benefit of implementing biometrics for patient ID in healthcare.

Take a look at the video covering the deployment of RightPatient at CMC here:

Are you seeking to improve patient safety, reduce the time and money spent reconciling chart corrections, and increase revenue? RightPatient may be the answer. Contact us today for a free demo and let us help direct you on the path of accurate patient ID so you can realize the benefits of other healthcare organizations using photo biometrics.