The impact of health information technology on patient safety
TLDR
It is concluded that health information technology improves patient’s safety by reducing medication errors, reducing adverse drug reactions, and improving compliance to practice guidelines.Abstract:
Since the original Institute of Medicine (IOM) report was published there has been an accelerated development and adoption of health information technology with varying degrees of evidence about the impact of health information technology on patient safety. This article is intended to review the current available scientific evidence on the impact of different health information technologies on improving patient safety outcomes. We conclude that health information technology improves patient’s safety by reducing medication errors, reducing adverse drug reactions, and improving compliance to practice guidelines. There should be no doubt that health information technology is an important tool for improving healthcare quality and safety. Healthcare organizations need to be selective in which technology to invest in, as literature shows that some technologies have limited evidence in improving patient safety outcomes.read more
Citations
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Protocol for a systematic review and qualitative synthesis of information quality frameworks in eHealth
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References
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Reference EntryDOI
Structured telephone support or telemonitoring programmes for patients with chronic heart failure
Sally C. Inglis,Robyn Clark,Finlay A. McAlister,Jocasta Ball,Christian Lewinter,Damien Cullington,Simon Stewart,John G.F. Cleland +7 more
TL;DR: Structured telephone support and telemonitoring are effective in reducing the risk of all-cause mortality and CHF-related hospitalisations in patients with CHF; they improve quality of life, reduce costs, and evidence-based prescribing.
Journal ArticleDOI
A new sociotechnical model for studying health information technology in complex adaptive healthcare systems
Dean F. Sittig,Hardeep Singh +1 more
TL;DR: An eight-dimensional model specifically designed to address the sociotechnical challenges involved in design, development, implementation, use and evaluation of HIT within complex adaptive healthcare systems is introduced.
Journal ArticleDOI
The effects of on‐screen, point of care computer reminders on processes and outcomes of care
Kaveh G. Shojania,Alison Jennings,Alain Mayhew,Craig R Ramsay,Martin P Eccles,Jeremy M. Grimshaw +5 more
TL;DR: A minority of interventions showed larger effects, but no specific reminder or contextual features were significantly associated with effect magnitude, and further research must identify design features and contextual factors consistently associated with larger improvements in provider behaviour.
Making health care safer II: an updated critical analysis of the evidence for patient safety practices.
Paul G. Shekelle,Robert M. Wachter,Peter J. Pronovost,Karen M Schoelles,Kathryn M. McDonald,Sydney M. Dy,Kaveh G. Shojania,James Reston,Zackary Berger,Breanne Johnsen,Jody Larkin,Scott Lucas,Kathryn A. Martinez,Aneesa Motala,Sydne J Newberry,Meredith Noble,Elizabeth R. Pfoh,Sumant R. Ranji,Stephanie Rennke,Eric W. Schmidt,Roberta M. Shanman,Nancy Sullivan,Fang Sun,Kelley Tipton,Jonathan Treadwell,A Tsou,Mary E. Vaiana,Sallie J. Weaver,Renee F Wilson,Bradford D. Winters +29 more
TL;DR: The evidence supporting the effectiveness of many patient safety practices has improved substantially over the past decade, and evidence about implementation and context has also improved, but continues to lag behind evidence of effectiveness.
Journal ArticleDOI
Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials
Pavel S Roshanov,Natasha Fernandes,Jeff M Wilczynski,Brian J Hemens,John J. You,John J. You,Steven M. Handler,Robby Nieuwlaat,Robby Nieuwlaat,Nathan M Souza,Joseph Beyene,Joseph Beyene,Harriette G.C. Van Spall,Harriette G.C. Van Spall,Amit X. Garg,Amit X. Garg,R. Brian Haynes +16 more
TL;DR: Presenting decision support within electronic charting or order entry systems are associated with failure compared with other ways of delivering advice and several factors that could partially explain why some systems succeed and others fail are identified.