“Integration of Artificial Intelligences with Healthcare Biometrics”
- Artificial intelligence is increasingly being integrated with healthcare biometrics to enhance accuracy and functionality in identification and security systems
- AI-powered biometric systems are capable of analyzing large volumes of data in real-time, improving the speed and precision of patient recognition during consultations or hospital admissions
- Facial recognition systems combined with AI are gaining popularity in hospitals, enabling touchless identification and seamless patient experience while reducing the risk of errors associated with manual input
- A notable instance is the use of AI-driven fingerprint biometrics in clinics to streamline check-in processes, ensuring faster patient flow and reducing waiting times for appointments
- For instance, in the case of a major hospital chain in the U.S. adopting fingerprint scanning technology for its patient registration process
- AI's role in predictive analytics is also growing, with biometric systems identifying trends in patient health data, helping healthcare providers to intervene proactively in patient care and reduce the risk of medical errors, as seen with a hospital in India using AI-enabled biometrics to monitor vital signs and predict patient needs in real time
