A Human Centered Framework for Information Security Management: A Healthcare Perspective

Research on the human element of information security is fragmented at best. This paper presents a management framework for organizations in the health care industry who wish to improve their information security procedures in an effort to comply with HIPAA and other regulations. The emphasis is on securing an organization from internal threats by adequately educating employees and building an organizational culture where security initiatives are valued and respected. The premise of the paper is that a cultural approach is the only way to gain the versatile security environment needed to comply with regulations as vast and complex as HIPAA. We argue that this framework demands that empirical data be collected through careful industry research with health care providers so as to prove the real world value of its application

Recognition of activities of daily living

Activities of daily living (ADL) are things we normally do in daily living, including any daily activity such as feeding ourselves, bathing, dressing, grooming, work, homemaking, and leisure. The ability or inability to perform ADLs can be used as a very practical measure of human capability in many types of disorder and disability. Oftentimes in a health care facility, with the help of observations by nurses and self-reporting by residents, professional staff manually collect ADL data and enter data into the system. Technologies in smart homes can provide some solutions to detecting and monitoring a resident’s ADL. Typically multiple sensors can be deployed, such as surveillance cameras in the smart home environment, and contacted sensors affixed to the resident’s body. Note that the traditional technologies incur costly and laborious sensor deployment, and cause uncomfortable feeling of contacted sensors with increased inconvenience. This work presents a novel system facilitated via mobile devices to collect and analyze mobile data pertaining to the human users’ ADL. By employing only one smart phone, this system, named ADL recognition system, significantly reduces set-up costs and saves manpower. It encapsulates rather sophisticated technologies under the hood, such as an agent-based information management platform integrating both the mobile end and the cloud, observer patterns and a time-series based motion analysis mechanism over sensory data. As a single-point deployment system, ADL recognition system provides further benefits that enable the replay of users’ daily ADL routines, in addition to the timely assessment of their life habits