The Growing Importance of Accurate Patient Identification in Healthcare – #biometricchat November 3rd, 11a.m. – 12 p.m. EST

M2SYS is hosting a tweet chat on the importance of patient identification in health care.are.

Tweet chat on patient ID in healthcare

It comes as no surprise that accurate patient identification has been number one on the list of Joint Commission on Accreditation of Healthcare Organizations’ (JCAHO) National Patient Safety Goals since 2003. Medical identity fraud and inaccurate patient identification continue to be a growing problem in healthcare, causing a precipitous drop in the quality of patient care along with rising liability and litigation costs. The problem of duplicate medical records alone due to inadequate and outdated patient identification systems is frustrating healthcare through medication errors, transfusion errors, testing errors, wrong patient procedures and the discharge of infants to the wrong families.

The call to adopt digitization of medical records and stringent patient identification standards through the use of new technologies have recently increased by authorities that provide leadership on global health matters such as the World Health Organization. So how is the healthcare industry faring to adopt more accurate patient identification procedures? Is medical identity theft still a growing concern within the healthcare industry? What can be done to prevent duplicate medical records? What other issues are at stake?

Join us on Thursday November 3rd from 11 a.m. – 12 p.m. EST for a tweet chat about patient identification in healthcare. Our guest will be Jim St. Clair (@jstclair1), Senior Director, Interoperability and Standards at the Health Information Management Systems Society (HIMSS) who will be sharing his knowledge and answering questions on the topic. We will also ask Jim about his thoughts on using biometric technology for patient identification.

Just in case you are interested in participating, but are new to Tweet chats, please read this post which outlines the instructions and procedures. We hope that you will join us for the discussion, and please spread the word among your colleagues and friends.

Do you have any questions that you would like to ask Jim? Please send them to: or come prepared with your questions, comments and feedback next Thursday!

Biometrics in Healthcare — One to Many Identification as a Way to Eliminate Patient Fraud

Checking in at the Dr’s Office

Healthcare professionals are catching on to the value of using biometrics for patient identification. As cases of medical identity theft increase and liability mounts, the industry has been turning to biometrics to ensure 100% patient identification accuracy, safeguard patient health, eliminate medical identity fraud, and cut costs. In addition, biometric patient identification systems instantly interface with any electronic health record or patient management software which means they can be up and running quickly without any database or code-level integration needed. Seamless interface capability helps smooth the transition from a more traditional means of identifying patients (name, DOB, social security number) to biometrics, a more modernized method that uses physiological characteristics of the human body to identify a patient.

Before you consider investing in a biometric patient identification system, it is important to understand the two fundamental differences in how back end biometric engins/systems/algorithms authenticate an individual:

a) 1:1 (one to one) verification – This method of authentication answers the question: Am I who I claim to be? and involves confirming or denying a person’s claimed identity. For example, when used in patient identification a patient would present a form of identification (driver’s license, social security card, insurance card, etc.) and after their record is pulled up they would then scan their biometric information to verify that they are the same person their identification states they are.

b) 1:N (one to many) identification – This method of authentication answers the question: Who am I? and the system must identify a person from a list of users in the template database. For example, when used in patient identification a patient would scan their biometric information first which immediately pulls up the patient record associated with their template before presenting any other form of identification.

Why is it important to understand the differences between biometric verification and biometric identification when it comes to eliminating medical identity fraud and duplicate records? Relying on 1:1 verification can create problems during patient registration. Since medical records are usually associated with a person’s date of birth or social security number, 1:1 verification creates the possibility of a person using a forged, fake or stolen ID to link their biometric identity to another patient’s record. Furthermore, since ID’s or insurance cards can be forged repeatedly then it’s possible that multiple medical records could exist for the same person all using the same biometric template. 1:1 verification would not catch this at registration.

The key to eliminating patient fraud is to catch a perpetrator at the time of registration before services are rendered. 1:N matching allows a healthcare facility to prevent medical identity theft by instantly performing a dedupe of their records before the record is created.

Understanding how biometric patient identification works and the functionality of the backend system is essential to working towards the ultimate goal of improving patient care. Eliminating patient identify fraud and lowering medical liability litigation costs  is key for the healthcare industry to maintain economic vitality to continue the fight of safeguarding our health.



The Rise Of Palm Vein Biometrics For Patient Identification

The Story

We ran across a news story this morning about yet another healthcare facility choosing palm vein biometric technology for accurate patient identification.  Here is a link to the story:

How Does Palm Vein Biometrics Work?

If you have been keeping up with the latest advancements in biometrics recently, then you are probably familiar with palm vein technology.  However, if palm vein biometrics is new to you and you aren’t quite sure what it is, allow us a second to explain how the technology works:

Unlike fingerprint biometric technology which relies on the integrity of the skin on the fingertip for accurate identification and can be susceptible to age, environment, cuts, scrapes, bruises, scars, dirt, grime and grease, palm vein biometric technology relies on capturing an image of the vein pattern beneath the skin and using that image as the basis for individual identification.  Unlike fingerprint technology, the integrity of the skin is not an issue with palm vein biometrics.  By using near infrared light to capture a palm vein pattern beneath the skin surface to identify an individual, it bypasses the need to have quality fingerprints in order to successfully use a biometric identification system for nearly 100% of end users.

Why is Palm Vein a Good Fit for Healthcare?

As we had mentioned in a previous post, the healthcare industry is crippled by the costs, liability and decline in quality patient care that inaccurate patient identification brings.  Not only does biometric technology solve this problem by eliminating patient fraud and lowering hospital liability but palm vein healthcare biometrics fits hand in glove with the unique needs of the industry.  Since healthcare caters to an extremely wide demographic of end users with a higher than average percentage that have less than ideal fingerprint integrity, palm vein biometrics is a great fit to ensure that everyone is accurately identified, all of the time.

RightPatient from M2SYS

Luckily, the healthcare industry has RightPatient from M2SYS to rely on for their patient identification needs.  Combining the power of Palm Secure technology from Fujitsu with the M2SYS Hybrid Biometric Platform, healthcare biometrics technology is a powerful tool in the fight against inaccurate patient identification.

Are you sacrificing quality care due to the absence of a reliable patient identification technology?  Please contact us for more details on how RightPatient can work for you.


The Healthcare Industry Bids Adieu To Inaccurate Patient Identification

Today, M2SYS Technology released RightPatient™ the newest biometric identification platform that increases patient safety, lowers healthcare liability and stops medical identity theft.  You can read more about the technology in our Press Release which you can find here:

Despite radical advances in healthcare technology over the past decade, the industry continues to suffer as billions of dollars are siphoned away, liabilities skyrocket, medical identity theft grows and patient health is jeopardized by health care fraud.  Medical identity theft dominates all forms of health care fraud and continues to be the biggest fly in the health care soup, with patient identification hovering as one of the top concerns for health care professionals.  It’s no surprise then that accurate patient identification has been number one on the list of the Joint Commission on Accreditation of Healthcare Organizations’ (JCAHO) Hospital National Patient Safety Goals since 1993. The medical field is increasingly recognizing that patient misidentification is a common, potentially deadly and largely preventable error.

RightPatient™ answers the call and aims to help save the healthcare industry over $70 billion annually by effectively preventing patient fraud and misidentification.  It instantly interfaces with any EHR/EMR or patient management software allowing healthcare facilities to implement a scalable 1:N matching system with the ability to match millions of biometric templates per second.  The system can be off to the races within 24 hours and M2SYS already has a number of custom interfaces developed for several popular EHR/EMR systems.

Please visit our Web site to learn more about RightPatient™.

Have you been experiencing problems that result from misidentification of medical patients?  Could a free trial of RightPatient™ help you to understand how biometric identification can work for you?