doctor paper


23 March 2019

How Facial Recognition is used in Healthcare

When it comes to face recognition in healthcare and other verticals, many still link the technology to some form of security surveillance and detection of fraudsters based on their facial matching profile. In healthcare, there is a much bigger need than just using the technology for security. In this article, we highlight how facial recognition is improving the healthcare industry.

Challenges faced by healthcare professionals

Accurate patient identification in hospitals has always been a subject of discussion and has recently gained momentum due to the urgency of rapid digitization of the healthcare industry. Hospitals have increased their interoperability, which has increased the possibility of patient data-matching errors and mismatching. This can really jeopardize a patient’s safety and inflate healthcare cost artificially.

Facial recognition is slowly gaining momentum in healthcare, partially due to improvements in artificial intelligence, which has made it possible to use the technology in different ways. AI-powered face recognition systems in the market have allowed healthcare professionals to consider using the technology in several ways that go beyond security purposes. Below is a highlight of potential uses of the technology in healthcare.

Securing hospital facilities

One of the most popular applications of face recognition is for security. Law enforcement personnel can use this technology to detect and identify individuals by scanning anyone entering the hospital. They can then compare each person to a list of flagged individuals. The technology can also be used in hospitals to identify individuals who might be drug seekers or individuals previously ejected whom the hospital no longer allows to access the facility.

Emotion detection and sentiment analysis

Real-time emotion detection is yet another valuable application of face recognition in healthcare. It can be used to detect several emotions patients exhibit during their stay in the facility and analyze the data so as to determine how they are feeling. The results of the analysis may help identify where the patients need more attention in case they’re in pain or sad.

Patient fraud

Face recognition can help hospitals deal with individuals posing as patients in order to access treatments and other medication.

Hospital traffic pattern analysis

Hospitals can also use face recognition technology to detect patterns that entail overall statistics around visitors and patients based on gender and age. This system can help the facility track patients without using physical tracking devices. This can come in handy to locate patients within a nursing home or in outpatient assisted living facilities.

Face recognition has been proven efficient for security among other uses. It’s now slowly gaining momentum in healthcare facilities to track patients and keep their records safe without mismatching. Biometric facial recognition is very useful when it comes to visitors’ authentication, which can help secure the facility and prevent patient fraud.

By Sightcorp

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About the Author

Sightcorp is the anonymous audience analytics intelligence specialist for Digital Signage, DOOH, Out of Home Media, and In-Store Analytics. Making lightweight AI edge software solutions that bridge the gap between the online and real world. Providing anonymous in-store analytics to Retailers and powering the DOOH ecosystem with ad performance metrics for advertisers, real-time audience reach for media network owners, and an industry-recognized impression-based currency for programmatic advertising.