A cloud-based system for predicting and preventing falls in older people
Andreas Ejupi, an expert in the research service "Health Information Systems" at AIT Safety & Security Department, gives a lecture at the Stanford School of MEDICINE on 29th of September 2013.
In his presentation he claims that falls in older people are more than common. More than 30% of the people older than 65, and more than 50% in the age group above 80 fall at least once a year. In order to develop an individualized fall prevention strategy for older people living in the community, the first step is to assess their fall risk to determine the starting points of the intervention. Until now, assessing fall risk is done in a clinical environment, supervised by a physician. Only people with an active fall history will be screened for fall risk. Since health care resources are limited, but the number of older people is increasing, his work focuses on the feasibility of a self-assessment fall prediction, prevention and feedback approach to empower older people living at home.
About Stanford Medicine X
Medicine X is a catalyst for new ideas about the future of medicine and health care. The initiative explores how emerging technologies will advance the practice of medicine, improve health, and empower patients to be active participants in their own care. The “X” is meant to encourage thinking beyond numbers and trends—it represents the infinite possibilities for current and future information technologies to improve health. Under the direction of Dr. Larry Chu, Associate Professor of Anesthesia, Medicine X is a project of the Stanford AIM Lab.