Computerized physician order entry with clinical decision support in long-term care facilities: costs and benefits to stakeholders.
Nursing homes are the setting of care for growing numbers of our nation's older people, and adverse drug events are an increasingly recognized safety and quality concern in this population. Health information technology, including computerized physician/provider order entry (CPOE) with clinical decision support (CDS), has been proposed as an important systems-based approach for reducing medication errors and preventable drug-related injuries. This article describes the costs and benefits of CPOE with CDS for the various stakeholders involved in long-term care (LTC), including nurses, physicians, the pharmacy, the laboratory, the payer (e.g., the insurer), nursing home residents, and the LTC facility. Critical barriers to adoption of these systems are discussed, primarily from an economic perspective. The analysis suggests that multiple stakeholders will incur the costs related to implementation of CPOE with CDS in the LTC setting, but the costs incurred by each may not be aligned with the benefits, which may present a major barrier to broad adoption. Physicians and LTC facilities are likely to bear a large burden of the costs, whereas residents and payers will enjoy a large portion of the benefits. Consideration of these costs and benefits suggests that financial incentives to physicians and facilities may be necessary to encourage and accelerate widespread use of these systems in the LTC setting.
Subramanian
Sujha
S
RTI International, Waltham, Massachusetts, USA.
Hoover
Sonja
S
Gilman
Boyd
B
Field
Terry S
TS
Mutter
Ryan
R
Gurwitz
Jerry H
JH
D016907:Adverse Drug Reaction Reporting Systems / Q000191:economics; D040561:Assisted Living Facilities / Q000191:economics*; D003362:Cost-Benefit Analysis; D020000:Decision Support Systems, Clinical / Q000191:economics*; D006801:Humans; D008134:Long-Term Care / Q000458:organization & administration*; D050316:Medical Order Entry Systems / Q000191:economics*; D009936:Organizational Innovation; D014481:United States