Computerized Provider Order Entry System
Association of display of patient photographs in the electronic health record with wrong-patient order entry errors.
Citation:
Salmasian H, Blanchfield BB, Joyce K, Centeio K, Schiff GB, Wright A, Baugh CW, Schuur JD, Bates DW, Adelman JS, Landman AB. Association of display of patient photographs in the electronic health record with wrong-patient order entry errors. JAMA Netw Open. 2020 Nov 2;3(11):e2019652. doi: 10.1001/jamanetworkopen.2020.19652. PMID: 33175173.
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Project Name:
Ensuring Safe Performance of Electronic Health Records - Final Report
Citation:
Bates D. Ensuring Safe Performance of Electronic Health Records - Final Report. (Prepared by the Brigham and Women's Hospital under Grant No. R01 HS023696). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
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Project Name:
Assessing the Relationship Between Care Processes and Clinical Decision Support for Order Entry
Description:
This research will examine the evidence around the value of order sets, while uncovering clinician perceptions that hinder their efficient use.
Principal Investigator:
Project Dates:
September 1, 2019 to August 31, 2021
Automated detection of wrong-drug prescribing errors.
Citation:
Lambert BL, Galanter W, Liu KL, Falck S, Schiff G, Rash-Foanio C, Schmidt K, Shrestha N, Vaida AJ, Gaunt MJ. Automated detection of wrong-drug prescribing errors. BMJ Qual Saf. 2019 Aug 7. pii: bmjqs-2019-009420. doi: 10.1136/bmjqs-2019-009420. [Epub ahead of print]. PMID: 31391313.
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Project Name:
Assessing the safety of electronic health records: a national longitudinal study of medication-related decision support.
Citation:
Holmgren AJ, Co Z, Newmark L, Danforth M, Classen D, Bates D. Assessing the safety of electronic health records: a national longitudinal study of medication-related decision support. BMJ Qual Saf. 2019 Jul 18. pii:
bmjqs-2019-009609. doi: 10.1136/bmjqs-2019-009609. [Epub ahead of print] PMID: 31320497.
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How often do prescribers include indications in drug orders? Analysis of 4 million outpatient prescriptions.
Citation:
Salazar A, Karmiy SJ, Forsythe KJ, Amato MG, Wright A, Lai KH, Lambert BL, Liebovitz DM, Eguale T, Volk LA, Schiff GD. How often do prescribers include indications in drug orders? Analysis of 4 million outpatient prescriptions. Am J Health Syst Pharm. 2019 Jun 18;76(13):970-979. doi: 10.1093/ajhp/zxz082. PMID: 31361884.
Principal Investigator:
Comparison of a prototype for indications-based prescribing with 2 commercial prescribing systems.
Citation:
Garabedian PM, Wright A, Newbury I, Volk LA, Salazar A, Amato MG, Nathan AW, Forsythe KJ, Galanter WL, Kron K, Myers S, Abraham J, McCord SK, Eguale T, Bates DW, Schiff GD. Comparison of a prototype for indications-based prescribing with 2 commercial prescribing systems. JAMA Netw Open. 2019 Mar 1;2(3):e191514. doi: 10.1001/jamanetworkopen.2019.1514. PMID: 30924903.
Principal Investigator:
Effect of restriction of the number of concurrently open records in an electronic health record on wrong-patient order errors: a randomized clinical trial.
Citation:
Adelman JS, Applebaum JR, Schechter CB, et al. Effect of restriction of the number of concurrently open records in an electronic health record on wrong-patient order errors: a randomized clinical trial. JAMA. 2019 May 14;321(18):1780-1787. PMID: 31087021.
Principal Investigator:
Assess Risk of Wrong Patient Errors in an EMR That Allows Multiple Records Open - Final Report
Citation:
Adelman J. Assess Risk of Wrong Patient Errors in an EMR That Allows Multiple Records Open - Final Report. (Prepared by Columbia University under Grant No. R21 HS023704). Rockville, MD: Agency for Healthcare Research and Quality, 2019.
Principal Investigator:
A prescription for enhancing electronic prescribing safety.
Citation:
Schiff G, Mirica MM, Dhavle AA, et al. A prescription for enhancing electronic prescribing safety. Health Aff (Millwood). 2018 Nov;37(11):1877-1883. PMID: 30395495.
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