AHRQ Patient Safety Network

The Collection > Computerized Decision Support

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Computerized Decision Support

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1 - 20 of 154

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STUDY

Patient-specific electronic decision support reduces prescription of excessive doses.

Seidling HM, Schmitt SPW, Bruckner T, et al. Qual Saf Health Care. 2010;19:e15.

STUDY

Computerized decision support for medication dosing in renal insufficiency: a randomized, controlled trial.

Terrell KM, Perkins AJ, Hui SL, Callahan CM, Dexter PR, Miller DK. Ann Emerg Med. 2010;56:623-629.

STUDY

An unintended consequence of electronic prescriptions: prevalence and impact of internal discrepancies.

Palchuk MB, Fang EA, Cygielnik JM, et al. J Am Med Inform Assoc. 2010;17:472-476.

STUDY

Computerized order entry with limited decision support to prevent prescription errors in a PICU.

Kadmon G, Bron-Harlev E, Nahum E, Schiller O, Haski G, Shonfeld T. Pediatrics. 2009;124:945-950.

STUDY

Critical drug–drug interactions for use in electronic health records systems with computerized physician order entry: review of leading approaches.

Classen DC, Phansalkar S, Bates DW. J Patient Saf. 2011;7:61-65.

COMMENTARY

Eptifibatide Epilogue

Churchill WW, Fiumara K. AHRQ WebM&M [serial online]. April 2009.

STUDY

The influence that electronic prescribing has on medication errors and preventable adverse drug events: an interrupted time-series study.

van Doormaal JE, van den Bemt PMLA, Zaal RJ, et al. J Am Med Inform Assoc. 2009;16:816-825.

REVIEW

Year in review: medication mishaps in the elderly.

Peron EP, Marcum ZA, Boyce R, Hanlon JT, Handler SM. Am J Geriatr Pharmacother. 2011;9:1-10.

STUDY

Comparison of methods for identifying patients at risk of medication-related harm.

van Doormaal JE, Rommers MK, Kosterink JGW, Teepe-Twiss IM, Haaijer-Ruskamp FM, Mol PGM. Qual Saf Health Care. 2010;19:e26.

STUDY

Addition of electronic prescription transmission to computerized prescriber order entry: effect on dispensing errors in community pharmacies.

Moniz TT, Seger AC, Keohane CA, Seger DL, Bates DW, Rothschild JM. Am J Health Syst Pharm. 2011;68:158-163.

STUDY

Horus meets Nightingale in the modern age: how nursing communicates with pharmacy in HCIT era.

Armstrong I, Cox MA. Stud Health Technol Inform. 2006;122:585-586.

STUDY

Effect of computerized provider order entry with clinical decision support on adverse drug events in the long-term care setting.

Gurwitz JH, Field TS, Rochon P, et al. J Am Geriatr Soc. 2008;56:2225-2233.

STUDY

Electronic prescribing improves medication safety in community-based office practices.

Kaushal R, Kern LM, Barrón Y, Quaresimo J, Abramson EL. J Gen Intern Med. 2010;25:530-536.

COMMENTARY

In Conversation with…Eric G. Poon, MD, MPH

AHRQ WebM&M [serial online]. September 2008.

STUDY

Retrospective evaluation of a computerized physician order entry adaptation to prevent prescribing errors in a pediatric emergency department.

Sard BE, Walsh KE, Doros G, et al. Pediatrics. 2008;122:782-787.

NEWSPAPER/MAGAZINE ARTICLE

Piecing together medication administration.

Anderson HJ. Health Data Manage. May 1, 2009;17:22.

STUDY

Drug–drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records.

Phansalkar S, van der Sijs H, Tucker AD, et al. J Am Med Inform Assoc. 2013;20:489-493.

STUDY

Potassium and phosphorus repletion in hospitalized patients: implications for clinical practice and the potential use of healthcare information technology to improve prescribing and patient safety.

Hemstreet BA, Stolpman N, Badesch DB, May SK, McCollum M. Curr Med Res Opin. 2006;22:2449-2455.

NEWSPAPER/MAGAZINE ARTICLE

Electronic prescribing vulnerabilities: height and weight mix-up leads to dosing error.

ISMP Medication Safety Alert! Acute Care Edition. August 26, 2010;15:1-3.

STUDY

Impact of health information technology on detection of potential adverse drug events at the ordering stage.

Roberts LL, Ward MM, Brokel JM, Wakefield DS, Crandall DK, Conlon P. Am J Health Syst Pharm. 2010;67:1838-1846.

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