title: Clinical capital equipment acquisition: decision-making at the executive level.
abstract: Capital investment in the United States health care industry is one of the components of the system that has historically fueled cost increases and complicated the quality/cost/access conundrum. This article is concerned with capital development focused on clinical equipment acquisition in acute care hospitals. The research findings suggest that decision-makers are abandoning two approaches to decision-making known as Quantitative Decision-Making and Mixed Scanning in favor of two models known as Rational Decision-Making and Political Decision-Making. While this is the case, a method of decision-making known as Idea Sets (developed and labeled by James March as Garbage Can Decision-Making) is the most widely used approach. Equipment acquisition criteria used by the decision-makers are shifting away from concerns of enhancing existing clinical programs and/or adding new clinical programs. Acquisition criteria are shifting toward procuring equipment which will decrease institutional expense, improve organizational efficiency, and galvanize operational effectiveness. In addition to the technical findings of the research, further insights about ourselves and our colleagues are gleaned. Accordingly, we understand more completely the human dynamics surrounding decisions and thus are able to dialogue more richly about issues. Meaningful dialogue such as this will have the dual benefit of advancing teamwork and facilitating decision-making.
authors.affiliation: York College, Pennsylvania, USA.
authors.forename: D S
authors.initials: DS
authors.lastname: Greisler
authors.forename: R J
authors.initials: RJ
authors.lastname: Stupak
mesh_terms: D002201:Capital Expenditures; D003659:Decision Making, Organizational; D017598:Efficiency, Organizational; D004865:Equipment and Supplies, Hospital; D006302:Health Services Research; D017059:Models, Econometric; D011682:Purchasing, Hospital / Q000191:economics / Q000458:organization & administration*