Clinical cognition and biomedical informatics: issues of patient safety

Int J Med Inform. 2005 Dec;74(11-12):869-85. doi: 10.1016/j.ijmedinf.2005.07.009. Epub 2005 Aug 8.

Abstract

Recent developments in biomedical informatics research have afforded possibilities for great advances in health care delivery. These exciting opportunities also present a number of challenges to the implementation and integration of technologies in the workplace. As in most domains, there is a gulf between technologic artifacts and end users, which compromises the culture of safety in the workplace. Because clinical practice is a human endeavor, there is a need for bridging disciplines to enable clinicians to benefit from rapid technologic advances. This, in turn, necessitates a broadening of disciplinary boundaries to consider cognitive and social factors related to the design and use of technology. The authors argue for a place of prominence for cognitive science in understanding nursing factors associated with patient safety. Cognitive science provides a framework for the analysis and modeling of complex human performance. Studies of clinical cognition can meaningfully inform and shape design, development and assessment of information systems. Furthermore, they have a decisive impact on whether information technology has a positive influence on human performance and are especially important in understanding and promoting safe practices. These issues are discussed in the context of clinical informatics with a focus on nursing practice.

MeSH terms

  • Biomedical Engineering / methods*
  • Biomedical Engineering / organization & administration
  • Cognitive Science*
  • Decision Support Systems, Clinical*
  • Medical Errors / prevention & control*
  • Nursing Care / methods
  • Nursing Care / organization & administration
  • Nursing Informatics / methods*
  • Nursing Informatics / organization & administration
  • Quality Assurance, Health Care / methods*
  • Quality Assurance, Health Care / organization & administration
  • Safety Management / methods*
  • Safety Management / organization & administration
  • Software Design
  • Technology Assessment, Biomedical