Beyond Technology Adoption: An Embeddedness Approach to Reduce Medication Errors

Medication errors are causing harm, and even death, to hospital inpatients. These preventable errors occur at the hands of the same individuals who are charged to protect and provide care to patients—health care professionals. While decision support technologies are available to assist health care providers, patients continue to experience incorrect medications, inaccurate doses/rates of medication, duplicate doses, medication interactions, and other medication errors. This article investigates the reasons that health care professionals in hospital environments underutilize medication administration technologies and argues that a fusion view can provide guidance to increase their use. A Fusion Model is developed using the concept of embeddedness, the Technology Acceptance Model, the Task-Technology-Fit Model, and drawing on ethnographic fieldwork conducted at a modern hospital in the United States. The most important findings of this research are: (1) the concept of embeddedness can be used to study and frame fusion of technology in an environment; (2) four constructs (i.e., task characteristics, technology characteristics, individual use behavior, environmental characteristics) are identified and used to describe system characteristics needed to support medication decisions; and (3) guidance is provided for design and evaluation of decision support technologies for medication administration in hospitals.