FACE RECOGNITION SYSTEM FOR ELECTRONIC MEDICAL RECORD TO ACCESS OUT-PATIENT INFORMATION

The study aimed to create an enhanced monitoring and management system of patients' medical records for hospital clinics to provide easy identification of patients and give easy access to the doctors and nurses regarding patient's medical information. A face recognition system to access patient information was created by means of hardware and software integration. The hardware consisted mainly of a webcam for capturing the image of the patient's face. The webcam, together with the servos were connected to a gizDuino v4.0 microcontroller to allow the camera to track the face. An interface and software program using C# (.Net Framework 4) with the use of Viola-Jones algorithm code sources for face detection, Eigen-faces sources for face recognition, and Arduino IDE to program the microcontroller was developed. The content of the medical record were based on the conducted survey answered by medical professionals and saved in MySQL database. With the use of five-point Likert scale, the user-acceptability of the system was tested by doctors, nurses, medical technologists, and other medical professionals. A good result was obtained where 8 out of 10 questions were rated as 'strongly agreed' and the other two were rated 'agreed' by the survey respondents. The test for face detection yielded a 100% result and out of 30 trials conducted for face recognition, 25 were recognized with its respective record. This indicates that the system is functional and of good quality.