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Effects on Resource Utilization

William M. Tierney, MD; Michael E. Miller, PhD; J. Marc Overhage, MD, PhD; Clement J. McDonald, MD

JAMA. 1993;269(3):379-383.

Abstract
Objective.
—To assess the effects on health care resource utilization of a network of microcomputer workstations for writing all inpatient orders.

Design.
—Randomized controlled clinical trial.

Setting.
—Inpatient internal medicine service of an urban public hospital.

Subjects.
—A total of 5219 internal medicine patients and the 68 teams of house officers, medical students, and faculty internists who cared for them.

Intervention.
—Microcomputer workstations, linked to a comprehensive electronic medical record system, for writing all inpatient orders.

Main Outcome Measures.
—Total inpatient charges for each admission and charges for specific categories of orders. A time-motion study of selected interns assessed the ordering system's time consumption.

Results.
—Intervention teams generated charges that were $887 (12.7%) lower per admission than did control teams (P=.02). Significant reductions (P<.05) were demonstrated separately for bed charges, diagnostic test charges, and drug charges. Reductions of similar proportion and statistical significance were found for hospital costs. The mean length of stay was 0.89 day shorter for intervention resident teams (P=.11). Interns in the intervention group spent an average of 33 minutes longer (5.5 minutes per patient) during a 10-hour observation period writing orders than did interns in the control group (P<.0001).

Conclusions.
—A network of microcomputer workstations for writing all inpatient orders significantly lowered patient charges and hospital costs. This would amount to savings of more than $3 million in charges annually for this hospital's medicine service and potentially tens of billions of dollars nationwide. However, the system required more physician time than did the paper charts. Research at other sites and system advances to reduce time requirements are warranted.

(JAMA. 1993;269:379-383)

Author Affiliations
From the Department of Medicine, Indiana University School of Medicine, the Regenstrief Institute for Health Care (Drs Tierney, Miller, Overhage, and McDonald); and the Richard L. Roudebush Veterans Affairs Medical Center (Drs Tierney and McDonald), Indianapolis.

Footnotes
Reprint requests to Computer Science Research Section, Regenstrief Institute for Health Care, 5th Floor RHC, 1001 W Tenth St, Indianapolis, IN 46202 (Dr McDonald).

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