FRT is a method used to identify a person based on their facial structure and features, such as bone structure and skin texture.
Its functional algorithm is based on existing databases, which it searches for features to compare and give results. In this article, we will specifically focus on why facial recognition is the future, the benefits of using this innovative technology, and mention a few existing facial recognition features in current healthcare practice management software.
FACIAL RECOGNITION IS THE FUTURE
Slowly yet surely, technological innovations such as artificial intelligence (AI), machine learning, natural language processing (NLP), voice recognition, and face recognition are becoming the new norm in the healthcare industry. According to Grand View Research, the global AI healthcare market is expected to grow at a compound annual growth rate of 41.5% from 2019 to 2025.
BENEFITS OF FACIAL RECOGNITION IN A HEALTHCARE PRACTICE
Below are the different lists of benefits of facial recognition for the practitioner, receptionist and patient in a healthcare practice.
PRACTITIONER BENEFITS
- Improved practitioner-patient relationship
- Ensure that the correct patient is being treated
- Secured access to healthcare software and database
- Access to classified clinical and healthcare information is secured.
RECEPTIONIST BENEFITS
- Efficient patient flow
- Know that the patient file is correct
- Avoid the risk of duplicate patient files
- Improved patient relationship with the practice
- POPI Act compliance due to increased security measures.
PATIENT BENEFITS
- Prevent identity theft
- Improved patient experience
- Increased trust in the practice
- Improved patient-practitioner relationship
- Increased security of classified personal information.
FACIAL RECOGNITION FEATURES IN PMAS
In practice management applications, facial recognition features provide an extra layer of security. There are two key areas where facial recognition is used:
1) the Login screen and
2) when a patient arrives at the practice. The practice will be required to build a database of patient photos. A clear photo can simply be taken by the practice’s web camera, or a photo can be uploaded onto the correct patient file. It is that simple.
CONCLUSION
The ability to match a human face from a digital image or video frame from an existing database opens a world of possibilities. The future of innovative healthcare technology and software looks promising. Efficient tools such as facial recognition will gain more momentum in South Africa to ensure patient information confidentiality.
