Douglas Ivan Thompson

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Proponents of electronic medical record systems cite numerous benefits of their use; however prospective electronic medical record (EMR) purchasers can find relatively little hard evidence these systems will deliver promised or expected benefits. The lack of good information to help identify EMR benefits, estimate and prioritize these benefits, and(More)
In the third stage of electronic medical record development, key features of EMR systems have converged, making them more difficult to differentiate from a cost/benefit standpoint. Fourth stage EMR systems are likely to introduce new, more effective decision support capabilities, offering a competitive advantage to hospitals that use them. Intermountain(More)
Implementation of an electronic health record is expensive and labor-intensive. For this reason, providers often seek information about possible benefits to help them decide whether to implement an EHR. Our study found that a benefits database maintained by an ambulatory clinical systems vendor provided information that is useful, but that also has(More)
Allina Hospitals and Clinics is implementing an enterprise-wide information system with inpatient and ambulatory clinical documentation and orders, clinical decision support, and revenue cycle applications. Allina has adopted a rigorous approach to planning for and realizing the expected clinical and financial benefits from this investment. Allina's(More)
There are five common pitfalls in using clinical studies to calculate the ROI of electronic medical records (EMRs): Imputing value to minutes of time saved when staffing is not reduced. Imputing or estimating cost savings that can't be measured. Ignoring the revenue impact of reduced resource utilization. Ignoring baseline performance in extrapolating(More)
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