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Search results for "Policy Makers"
- Computerized Decision Support
- Policy Makers
Journal Article > Commentary
He J, Baxter SL, Xu J, Xu J, Zhou X, Zhang K. Nat Med. 2019;25:30-36.
Special or Theme Issue
Ohno-Machado L, ed. J Am Med Inform Assoc. 2014;21:e180-e375.
A universal agreement on how to calculate the return on investment for health information technology (IT) and computerized decision support systems still needs to be established. Articles in this special issue cover research exploring evaluation models, effects of medication alerts, and usability as potential components of determining the value of health IT.
Journal Article > Commentary
Clinical decision support systems could be modified to reduce 'alert fatigue' while still minimizing the risk of litigation.
Kesselheim AS, Cresswell K, Phansalkar S, Bates DW, Sheikh A. Health Aff (Millwood). 2011;30:2310-2317.
Clinical decision support systems rely on automated reminders to warn clinicians of potentially harmful drug interactions and to promote appropriate therapy. However, studies have shown that many alerts are relatively inconsequential—one study found that nearly 300 reminders were required to prevent one adverse drug event. This problem leads to alert fatigue on the part of clinicians, but thus far, system developers have been reluctant to tailor alerts to maximize yield, due to concerns about liability if alerts are removed. Reviewing the legal issues around decision support systems, this commentary advocates for stronger regulation and guidelines to allow greater tailoring of alerts to minimize alert fatigue and improve the safety performance of decision support systems. A recent consensus conference identified the key issues in developing more effective alert mechanisms.
Journal Article > Study
Carey K, Stefos T. Health Econ. 2011;20:1417-1430.
Journal Article > Meeting/Conference Proceedings
Jha AK, Desroches CM, Campbell EG, et al. N Engl J Med. 2009;360:1628-1638.
Increasing the use of electronic health records (EHRs) is a major policy priority, as implementation has been slow both in the United States and in other countries. This survey of nearly 3000 US hospitals found that less than 2% had a fully functional EHR (defined as incorporating clinical documentation, laboratory and imaging results, computerized provider order entry, and clinician decision support). Survey respondents cited cost and maintenance considerations as major barriers to adopting EHRs, concerns that have been cited in prior research. Given that most outpatient practices also do not use electronic records, the authors recommend several policy initiatives to spur EHR implementation.
Journal Article > Review
Medication-related clinical decision support in computerized provider order entry systems: a review.
Kuperman GJ, Bobb AM, Payne T, et al. J Am Med Inform Assoc. 2007;14:29-40.