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patient identification for patient safety

Mobile Patient Identification with the RightPatient Smart App

patient identification for patient safety

Demonstration of the RightPatient Smart App to a HIMSS attendee.

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.

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understanding patients in healthcare

What You Need to Know About Your Patient & What They Need to Know About You

understanding patients in healthcare

Establishing an environment of trust helps decrease or eliminate misunderstandings and medical errors in healthcare. (Photo courtesy of Flickr: http://bit.ly/2knx7Ax

The following guest post on patient relations in healthcare was submitted by Hannah Whittenly.

Understanding your patients and making sure they know you helps establish a relationship of trust. This should decrease or eliminate misunderstandings and errors. The following are just a few things you need to know about your patients and what they need to know about you.

What Doctors Need to Know

Patient Identification

Patient identification is of the utmost importance for a doctor. It helps ensure that the patient’s identity matches the treatment or service. Keep in mind that the proper procedure for patient identification is for your staff to ask patients to state their name and date of birth. Identification issues might occur when patients have hearing issues, so it is wise to be on top of this problem.

Patient Data

Recording patient data can help your practice and the medical industry as a whole. Understanding a patient’s medical history and tracking a patient’s health, medications, and lifestyle helps doctors come up with a customized plan to reduce the chance of errors. This type of data helps establish patterns for clients and may even help you reevaluate a plan to provide what your patients need the most.

What Clients Need to Know About You

Track Record

Patients should be aware of a doctor’s track record so that they can make an informed decision. This can be done by searching for the doctor’s name on the state’s medical licensing board website. There may be some information on the doctor and his or her track record. It might be a good idea to type in the doctor’s full name and location in a search engine to find out more information about the doctor. A patient can rest easy knowing that a doctor’s track record is clean, and it should make it easy for the client to trust you.

Education

Most state medical licensing boards have information regarding a doctor’s education, but this is not always the case. There are some instances when the state’s licensing board may not be updated. It might be a good idea to check out sites like UCompareHealthcare to learn about a doctor’s education. You can even check out the rest of the staff’s education. If you wanted to look up a nurse who may have participated in an online msn program, for example, you could look him or her up to see what their record and education history looks like and be more assured that they are the right nurse for you. Patients should be able to find out about the medical professionals that that they see pretty easily. This helps them feel more comfortable, and it makes it easier to make a decision about making you the doctor or nurse that they request on a regular basis.

All this information matters, and it is vital in building the right relationship. It also makes a difference in the type of care you provide to your patients.

Hannah Whittenly is a freelance writer and mother of two from Sacramento, CA. She enjoys kayaking and reading books by the lake.

patient ID in healthcare

Our Top Posts on Patient ID in 2016

patient ID in healthcare

A look back at our most trafficked blog posts of 2016 and a few words on the state of patient ID in healthcare. (Photo courtesy of pixabay.com: http://bit.ly/2iUh8G9)

We work hard throughout the year to help our community stay informed of the latest news and information on the state of patient identification in healthcare. Our perspective is that the future of patient ID is the patient photo, and with good reason. The ECRI recently recommended that healthcare organizations use more standard means of patient identification, which should include patient photos with their electronic health records (EHR). In addition, many prominent healthcare providers have already implemented patient photo capture initiatives, pointing out that capturing a photo increases patient safety and helps augment effective patient provider communication.

Understanding that accurate patient ID in healthcare affects so many more downstream activities and is widely considered to be the “big bang” of effective and safe patient care, the urgency for hospitals and healthcare organizations to adopt more secure patient identification technology has never been stronger.

Healthcare providers should take note however that not all biometric patient identification solutions are equipped to address the challenges and complexities of ensuring ID accuracy across the entire care continuum which now includes a multitude of new touchpoints such as connected health devices, patient portals, telemedicine, home health, and more. Investing in a patient identification solution that simply provides the ability to accurately identify an individual when they are physically present at a medical facility is now considered short-sighted. Healthcare providers should now consider adopting patient ID technology that is easily scalable, and has the flexibility to capture and store a patient’s photo for accurate identification during any encounter along the care continuum.

In 2016, we wrote extensively about the impact of accurate identification on patient safety including several posts that extrapolate on the imperatives of capturing photos as part of the ID process. We also covered how technology has changed healthcare provider patient ID protocols, the growth and impact on patient ID of iris recognition on smart devices, the characteristics and limitations of patient ID biometric hardware, and much more.

After crunching the numbers, what were our most popular blog posts for 2016? Here is the list:

  1. Identify Unconscious, Unknown Patients with Biometric Identification Technology – Written in May, 2015 this entry was our most trafficked post in 2016. Understanding how biometric technology works in real-life scenarios can help shed light on its true ability to identify unconscious patients as quickly as possible. 
  2. The Difference Between 1:N, 1:1, and 1:Few and Why it Matters in Patient ID – Did you know that there are different biometric matching types depending on the type of hardware modality you deploy for patient ID in healthcare? Written in 2015, this post examines three biometric matching types – one-to-many, one-to-one, and one-to-few – providing a side to side comparison of each matching type capabilities and limitations and providing a recommendation of the only matching type that can truly prevent duplicates and protect patient medical identities.
  3. Removing the word “scan” from iris recognition healthcare biometrics – Our extensive experience deploying iris recognition biometrics around the world helped us to understand and advocate that the word “scan” be removed from any discussion of this technology. Learn more about our viewpoint in this post from 2015.
  4. In Your Face: Future of Federated Patient ID – As we mentioned earlier in this post, the future of patient ID in healthcare is the distinct ability for a provider to capture and store a patient’s photo that can be used for accurate identification at any point along the care continuum. This post, and a subsequent follow up article by our friends at HealthStandards effectively illustrates not only the importance of capturing a patient’s photo at registration but how that photo can be used with facial recognition biometrics for accurate identification no matter where a patient seeks care or data access.
  5. Why telemedicine needs accurate patient ID – Following in the footsteps of our assertion that modern patient identification strategies should be holistic and enable the ability to accurately ID patients at any point along the care continuum, this post covers why we feel accurate patient ID is just as important for connected health and telemedicine as it is for in-person visits.

2016 is a wrap. We observed a few positive advancements to improve patient identification in healthcare, but overall we remain concerned that the topic is often skirted in favor of bolder, more splashy initiatives (e.g. – MACRA, Blockchain, interoperability) which always seem to garner more attention. No doubt that these are important initiatives in the healthcare industry but as we have said many times before — accurate patient identification in healthcare arguably should have been the first problem solved before we tackled these other projects. However, factors at play make it perhaps one of the most difficult and complex healthcare issues to solve from a logistical, political, economical, privacy, and health data exchange perspective.

What did you feel was the most important patient identification advancement (or regression) during 2016? Please leave us a comment!

 

patient data integrity and patient data matching in healthcare

Achieving Higher Patient Data Integrity Requires a Multi-Layered Approach

patient data integrity and patient data matching in healthcare

Improving patient data integrity in healthcare requires a multi-layered approach that addresses both data matching and more accurate patient identification.

The following guest post was written by David Cuberos, Enterprise Sales Consultant with RightPatient®

Patient Data Integrity and Duplicate Medical Records

It is a well known fact that inaccurate or incomplete data within a patient’s medical record can be a catastrophic risk to patient safety, not to mention a serious hospital liability. As a result, many hospitals and healthcare organizations across the industry are closely examining the integrity of their health data and taking steps to clean it, most by using third party probabalistic and deterministic de-duplication matching algorithms (often directly from their EHR providers) that search and identify possible duplicates for an automatic or manual merge.

Several key players in the healthcare industry including CHIME, AHIMA, HIMSS, and major EHR providers are beating the drum to improve patient identification and patient data matching, all important catalysts for the push to improve patient data integrity.

If you are a hospital or healthcare organization that is knee deep in the middle of a health IT initiative to help increase patient data integrity (especially in the context of prepping for participation in a local or regional health information exchange), you may want to stop and reassess your strategy.  The rush to cleanse “dirty data” from EHR and EMPI databases is often addressed by relying on an EHR vendor’s de-duplication algorithm which is supposed to search and identify these duplicate medical records and either automatically merge them if similarity thresholds are high, or pass them along to the HIM department for further follow up if they are low. 

This could be a very effective strategy to cleanse an EMPI to ensure patient data accuracy moving forward, but is it enough? Is relying on an EHR vendor’s de-duplication algorithm sufficient to achieve high levels of patient data integrity to confidently administer care?  It actually isn’t. A more effective strategy combines elements of a strong de-duplication algorithm with strong patient identification technology to ensure that patient data maintains its integrity.

Duplicate Medical Record Rates are Often Understated

The industry push for system-wide interoperability to advance the quality and effectiveness of healthcare for both individuals and the general population has been one of the main catalysts motivating healthcare organizations to clean and resolve duplicates but it also has revealed some kinks in the data integrity armor of many different medical record databases. Most hospitals we speak with either underestimate their actual duplicate medical rate, or do not understand how to properly calculate it based on the actual data they can access.  An AHIMA report entitled “Ensuring Data Integrity in Health Information Exchange” stated that:

“…on average an 8% duplicate rate existed in the master patient index (MPI) databases studied. The average duplicate record rate increased to 9.4% in the MPI databases with more than 1 million records. Additionally, the report identified that the duplicate record rates of the EMPI databases studied were as high as 39.1%.”

“High duplicate record rates within EMPI databases are commonly the result of loading unresolved duplicate records from contributing MPI files. EMPI systems that leverage advanced matching algorithms are designed to automatically link records from multiple systems if there is only one existing viable matching record. If the EMPI system identifies two or more viable matching records when loading a patient record, as is the case when an EMPI contains unresolved duplicate record sets, it must create a new patient record and flag it as an unresolved duplicate record set to be manually reviewed and resolved. Therefore, if care is not taken to resolve the existing EMPI duplicate records, the duplicate rate in an EMPI can grow significantly as additional MPI files are added.”

(AHIMA report, “Ensuring Data Integrity in Health Information Exchange”  http://library.ahima.org/xpedio/groups/public/documents/ahima/bok1_049675.pdf)

Clearly, the importance of cleansing duplicate medical records from a database cannot be understated in the broader scope of improving patient data integrity but relying on an EHR vendor’s probabilistic matching algorithm as the only tool to clean and subsequently maintain accurate records may not always be the most effective strategy. Instead, healthcare organizations should consider a multi-layered approach to improving patient data integrity beyond relying exclusively on an EHR vendor’s de-duplication algorithm. Here’s why.

Why Patient Data Integrity is a Multi-Layered Approach

Often not clearly explained to healthcare organizations, EHR de-duplication algorithms allow end users to set matching thresholds to be more or less strict, which comes with trade-offs. The more strict the threshold is set, the less chance of a false match but the higher chance of a false reject. The less strict the algorithm is set, the lower the chance of a false reject but the higher the chance of false acceptance.

Translation: Often times hospitals who say they have a low duplicate medical record rate might have a strict false acceptance rate (FAR) threshold setting in their de-duplication algorithm. That may mean that there could be a significant amount of unknown duplicate medical records that are being falsely rejected. Obviously, this is a concern because these databases must be able to identify virtually every single duplicate medical record that may exist in order to achieve the highest level of patient data integrity.

So, what can healthcare organizations do to ensure they are not only holistically addressing duplicate medical record rates, but also adopting technology that will maintain high patient data integrity levels moving forward? One answer is to implement a stronger de-duplication algorithm that has the ability to “key” and link medical records across multiple healthcare providers on the back end, and deploying a technology such as biometrics for patient identification on the front end to ensure that not only is care attribution documented to the accurate medical record, but a provider has the ability to view all patient medical data prior to treatment. 

For example, many credit bureaus offer big data analytics solutions that can dig deep into a medical record database to better determine what identities are associated with medical records. These agencies are experts in identity management with access to sophisticated and comprehensive databases containing the identification profiles for millions and millions of patients — databases that are reliable, highly accurate, and secure with current and historical demographic data.

Once data is analyzed by these agencies, they are able to assign a “key” to match multiple medical records for the same patient within a single healthcare organization and across unaffiliated healthcare organizations to create a comprehensive EHR for any patient. Offering a unique ability to augment master patient index (MPI) matching capabilities with 3rd party data facilitates more accurate matching of medical records across disparate health systems and circumvents the problem of MPIs assigning their own unique identifiers to individual patients that are different than unaffiliated healthcare organizations that have their own MPI identifiers.

Benefits of using a third party big data analytics solution that has the ability to “key” medical records for more accurate patient data matching at a micro level include:

  • More accurate identification of unique patient records resulting in a more complete medical record and improved outcomes
  • Prevention of duplicate medical records and overlays at registration reduces the cost of ongoing MPI cleanups
  • Medical malpractice risk mitigation 
  • Reduced patient registration times
  • The ability to more accurately link the most current insurance coverage patient information for more accurate billing

On the marco level, benefits include: 

  • Positive patient identification for eligibility verification, billing, coordination of benefits, and reimbursement
  • Improved care coordination
  • Information and record keeping organization 
  • Linkage of lifelong health records across disparate healthcare facilities
  • Aggregation of health data for analysis and research
  • Accurately aggregating patient federated data via a HIE

Conclusion

We have long championed the idea that improving patient data integrity can never be achieved in the absence of establishing patient identification accuracy or relying on EHR vendor de-duplication algorithms as the single resource to clean an MPI database. Hospitals and healthcare organizations that are truly committed to cleansing duplicate medical records from their databases and preventing them from reoccurring through more accurate patient identification must consider deploying stronger front and back end solutions that have the ability to more comprehensively identify and resolve these dangers to patient safety. Why not leverage the clout and reach of these big data analytics solutions to more effectively improve patient data integrity instead of putting all of your eggs in an EHR vendor’s de-duplication algorithm?

What other strategies have you seen as effective methods to increase patient data integrity in healthcare?

biometric patient identification prevents duplicate medical recordsDavid Cuberos is an Enterprise Sales Consultant with RightPatient® helping hospitals and healthcare organizations realize the benefits of implementing biometrics for patient identification to; increase patient safety, eliminate duplicate medical records and overlays, and prevent medical identity theft and healthcare fraud.

biometric patient ID in healthcare

Our Top Five Biometric Patient Identification Blog Posts of 2015

biometric patient identification in healthcare

Read through some of our most popular blog posts on biometric patient identification in healthcare during 2015

2015 was an important year of growth and innovation for RightPatient®. We started this blog two years ago to help educate the healthcare community on the importance of establishing secure, accurate patient identification in healthcare and to establish a trusted resource to help understand how the use of biometrics for patient ID has proven to be an important tool to help increase patient safety, eliminate duplicate medical records, improve revenue cycle management, and prevent medical identity theft and fraud. 

Throughout our journey, we have shared many important posts demonstrating how our hospital partners have successfully implemented biometrics for patient identification and provided real life examples of the post deployment benefits realized. Among the dozens of posts the RightPatient® team posted during 2015, the following posts were the most popular:

  1. Uniting Accurate Patient Identification with Secure Single Sign-On (SSO) to Improve Data Integrity in Healthcare: In an effort to help continue increasing patient data integrity in healthcare, we announced a new partnership with Healthcast,  the #1 ranked single sign-on solution (KLAS, 2014) to increase patient safety and secure access to patient data. 
  2. RightPatient® Prevents Healthcare Fraud at University Health SystemHealthcare fraud and medical identity theft are two rising concerns for healthcare organizations because they jeopardize patient safety, raise the cost of care, and could lead to non-reimbursable medical procedures. University Hospital in Augusta, GA recently was able to prevent healthcare fraud in their ER through the use of the RightPatient® with photo biometrics.
  3. Removing the Word “Scan” from Iris Recognition for Healthcare BiometricsFueled by Hollywood sensationalism, iris recognition biometric identification is often depicted as “scanning” a person’s eyes with visible light. The fact is, no visible light is used with iris recognition and instead of a “scan,” iris biometrics takes a high resolution digital photograph. 
  4. Identify Unconscious, Unknown Patients with Biometric Identification TechnologyThe difficulty to identify an unconscious or disoriented patient jeopardizes patient safety in healthcare. Biometric patient identification has emerged as a technology capable of identifying patients in these conditions, but did you know that not all biometric patient ID solutions have the ability to identify unconscious or disoriented patients? 
  5. Biometric Patient Identification Implementation Should Be Higher On The Priority ListDespite the fact that accurate patient identification affects so many downstream clinical and financial activities, hospitals and healthcare organizations are still not placing enough emphasis on evaluating implementation and use of this technology as a priority. 

We will continue to research and write educational and informational posts during 2016 about the rising use of biometrics for patient identification in healthcare including case studies and examples of how our technology is helping hospitals around the world to: eliminate duplicate medical records, prevent medical identity theft and fraud, increase patient data integrity, and improve patient safety. 2015 was a year of significant growth for RightPatient® as we continue working toward our mission to offer the most innovative and comprehensive patient identification solution that increases patient safety, reduces costs, improves the quality of care, and enhances the patient experience. 

Curious to know more about the use of biometric patient identification in healthcare? Is there a topic that you would like to learn more about? Drop us a message at: jtrader@rightpatient.com with your ideas and suggestions!

Thank you for being a part of our blog community!

iris biometrics for patient identification can help to identify unknown or unconscious patients

Novant Health Uses Iris Biometrics to Identify Unknown Patient

iris biometrics for patient identification can help to identify unknown or unconscious patients

Novant Health recently used the RightPatient iris biometrics patient identification system to identify an unknown, disoriented patient. (Photo courtesy of pixabay: http://bit.ly/2ibpdIi)

It’s a familiar case. An unconscious or unknown patient arrives in the ER without any identification leaving clinicians to administer care in the absence of any medical history to review. This presents a serious patient safety risk since treating an unknown patient without the benefit of securing their identity is dangerous and can be a huge liability. What if they are allergic to a certain medication? What if they have a pre-existing condition that must be considered prior to receiving any treatment?

Since these cases are more often trauma related requiring immediate attention, clinicians must take a risk and administer care in the absence of any historical medical data. An obvious threat to patient safety and a situation that clearly raises liability, healthcare organizations have long sought to adopt technology that can instantly identify patients in these cases without the need for any demographic information. 

The staff at Novant Health decided to proactively implement an iris biometric identification system throughout their network as a means to secure accurate patient ID and ensure that patients, no matter what the circumstances, are kept safe throughout the care continuum. Although adopting a biometric patient identification system to identify unconscious or unknown patients wasn’t the sole reason that Novant implemented this technology, they knew that by choosing to use iris recognition as their primary biometric modality they would be able to quickly and accurately identify any patient in these circumstances without having to ask for an additional identification credentials (e.g. – D.O.B.). 

Novant’s iris biometric patient identification system was recently put to the test when a disoriented, unknown patient arrived in the ER without any identification credentials. Novant staff quickly realized that they could take the patient’s photo with a RightPatient iris camera and if they had been previously registered in their Epic EHR database, the biometric patient identification system would recognize them and immediately pull up their medical record. Fortunately, the patient had previously been enrolled with the RightPatient system and their identity was instantly recognized after their photo was taken with the iris camera. A big relief to Novant staff since they were now able to not only access her medical history prior to treatment, but they were also able to quickly contact the patient’s relatives to inform them of the situation.

A link to the Novant article detailing the experience of using iris biometrics to identify an unknown patient can be found here.

Thank you to our partners at Novant Health for sharing this story and demonstrating the value of using biometrics for patient identification in the context of keeping patients as safe as possible throughout the care continuum!

How often do you experience situations where patients arrive at your facility without identification credentials? Did you know that not all biometric patient identification solutions have the ability to identify unknown or unconscious patients?

 

biometrics for patient identification helps HIM departments in healthcare

How Accurate Patient Identification Impacts Health Information Management (HIM)

biometrics for patient identification helps HIM departments in healthcare

The use of biometrics for patient identification in healthcare helps HIM departments spend time on more value added services.

We have spent a lot of time during the past few years discussing how establishing accurate patient identification in healthcare with biometrics is the most effective technology to prevent:

— Duplicate medical records 
— Healthcare fraud
Medical identity theft

and improve:

— Patient safety
— Revenue cycle management 

What often goes unnoticed is the impact that biometric patient identification solutions have on Health Information Management (HIM) departments. HIM departments carry tremendous responsibility on their shoulders in any healthcare organization acting as the entity in charge of providing and processing medical records containing patient information from pre-admission through discharge and afterward until the record is complete. This process includes: Read more