Samantha K Brenner1, Rainu Kaushal2, Zachary Grinspan3, Christine Joyce4, Inho Kim5, Rhonda J Allard6, Diana Delgado7, Erika L Abramson8. 1. Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA Center for Healthcare Informatics and Policy, New York, NY, USA Department of Medicine, Stanford School of Medicine, Palo Alto, CA, USA Department of Medicine, Weill Cornell Medical College, New York, NY, USA. 2. Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA Center for Healthcare Informatics and Policy, New York, NY, USA Department of Medicine, Weill Cornell Medical College, New York, NY, USA Department of Pediatrics, Weill Cornell Medical College, New York, NY, USA New York-Presbyterian Hospital, New York, NY, USA. 3. Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA Center for Healthcare Informatics and Policy, New York, NY, USA Department of Pediatrics, Weill Cornell Medical College, New York, NY, USA New York-Presbyterian Hospital, New York, NY, USA. 4. Department of Pediatrics, Weill Cornell Medical College, New York, NY, USA New York-Presbyterian Hospital, New York, NY, USA. 5. New York-Presbyterian Hospital, New York, NY, USA Department of Emergency Medicine, Weill Cornell Medical College, New York, NY, USA. 6. Uniformed Services University of the Health Sciences, Bethesda, MD, USA. 7. Samuel J. Wood Library & C.V. Starr Biomedical Information Center, Weill Cornell Medical College, New York, NY, USA. 8. Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA Center for Healthcare Informatics and Policy, New York, NY, USA Department of Pediatrics, Weill Cornell Medical College, New York, NY, USA New York-Presbyterian Hospital, New York, NY, USA err9009@med.cornell.edu.
Abstract
OBJECTIVE: To systematically review studies assessing the effects of health information technology (health IT) on patient safety outcomes. MATERIALS AND METHODS: The authors employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement methods. MEDLINE, Cumulative Index to Nursing Allied Health (CINAHL), EMBASE, and Cochrane Library databases, from 2001 to June 2012, were searched. Descriptive and comparative studies were included that involved use of health IT in a clinical setting and measured effects on patient safety outcomes. RESULTS: Data on setting, subjects, information technology implemented, and type of patient safety outcomes were all abstracted. The quality of the studies was evaluated by 2 independent reviewers (scored from 0 to 10). A total of 69 studies met inclusion criteria. Quality scores ranged from 1 to 9. There were 25 (36%) studies that found benefit of health IT on direct patient safety outcomes for the primary outcome measured, 43 (62%) studies that either had non-significant or mixed findings, and 1 (1%) study for which health IT had a detrimental effect. Neither the quality of the studies nor the rate of randomized control trials performed changed over time. Most studies that demonstrated a positive benefit of health IT on direct patient safety outcomes were inpatient, single-center, and either cohort or observational trials studying clinical decision support or computerized provider order entry. DISCUSSION AND CONCLUSION: Many areas of health IT application remain understudied and the majority of studies have non-significant or mixed findings. Our study suggests that larger, higher quality studies need to be conducted, particularly in the long-term care and ambulatory care settings.
OBJECTIVE: To systematically review studies assessing the effects of health information technology (health IT) on patient safety outcomes. MATERIALS AND METHODS: The authors employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement methods. MEDLINE, Cumulative Index to Nursing Allied Health (CINAHL), EMBASE, and Cochrane Library databases, from 2001 to June 2012, were searched. Descriptive and comparative studies were included that involved use of health IT in a clinical setting and measured effects on patient safety outcomes. RESULTS: Data on setting, subjects, information technology implemented, and type of patient safety outcomes were all abstracted. The quality of the studies was evaluated by 2 independent reviewers (scored from 0 to 10). A total of 69 studies met inclusion criteria. Quality scores ranged from 1 to 9. There were 25 (36%) studies that found benefit of health IT on direct patient safety outcomes for the primary outcome measured, 43 (62%) studies that either had non-significant or mixed findings, and 1 (1%) study for which health IT had a detrimental effect. Neither the quality of the studies nor the rate of randomized control trials performed changed over time. Most studies that demonstrated a positive benefit of health IT on direct patient safety outcomes were inpatient, single-center, and either cohort or observational trials studying clinical decision support or computerized provider order entry. DISCUSSION AND CONCLUSION: Many areas of health IT application remain understudied and the majority of studies have non-significant or mixed findings. Our study suggests that larger, higher quality studies need to be conducted, particularly in the long-term care and ambulatory care settings.
Authors: Dean F Sittig; Adam Wright; Enrico Coiera; Farah Magrabi; Raj Ratwani; David W Bates; Hardeep Singh Journal: Health Informatics J Date: 2018-12-11 Impact factor: 2.681
Authors: Olufemi A Omitaomu; Ozgur Ozmen; Mohammed M Olama; Laura L Pullum; Teja Kuruganti; James Nutaro; Hilda B Klasky; Helia Zandi; Aneel Advani; Angela L Laurio; Merry Ward; Jeanie Scott; Jonathan R Nebeker Journal: Health Syst (Basingstoke) Date: 2019-05-07