For most existing computer systems, once the user’s identity is verified at login, the system resources are available to that user until he/she exits the system. In high-risk environments such as healthcare or where the cost of unauthorized use of a computer is high, a dynamic check of the user’s identity is extremely important. This study evaluated the feasibility of multi-factor authentication with bio-metrics, incorporating both traditional and the time dynamics-based techniques of keystrokes (behavioral) and fingerprint swipes (user’s physical characteristics), for adoption into an eHealth system (DHIMS 2). The results indicate that individual authentication by Keystroke and Fingerprint dynamics yields acceptable results. However, when combined with the traditional methods of authentication, extremely high security is obtained than could be obtained by each paradigm acting independently. Hence, it is concluded that combining Keystroke and fingerprint dynamics with traditional authentication procedures into an eHealth system (DHIMS 2) will yield a system with improved account security and integrity of health information.