title: Electronic fall surveillance system model.
abstract: Of primary concern to health care facilities today is the reduction of preventable injuries such as patient falls that often lead to serious and fatal injuries and result in increased lengths of stays, resource demands, costs, and lawsuits. Although all patients have the capacity to fall, a major challenge is to identify the presence of key risk factors exhibited by a patient as soon as possible to reduce the likelihood of an adverse fall event. Currently, fall risk assessment and prevention practices focus on nurses identifying the risk factors for falls with a limited use of technology. This article introduces a preliminary falls risk assessment and prevention model that uses standardized clinical and operational performance indicators linked through the Web to the patient's electronic health record to produce an electronic Fall Surveillance System. The use of an integrated Fall Surveillance System linked directly to the electronic health record allows for the implementation of quick "real-time" preventive intervention that would dramatically improve the quality and costs of patient care.
authors: Department of Health Management and Informatics, University of Central Florida, Orlando, USA. thomas.falen@ucf.edu
authors: Thomas
authors: T
authors: Falen
authors: Lynn
authors: L
authors: Unruh
authors: David
authors: D
authors: Segal
mesh_terms: D000058:Accidental Falls / Q000517:prevention & control / Q000706:statistics & numerical data*; D057286:Electronic Health Records; D006268:Health Facilities / Q000592:standards / Q000706:statistics & numerical data; D006801:Humans; D008962:Models, Theoretical; D011159:Population Surveillance; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors