Literature DB >> 27198103

Evaluating the Impact of Health IT on Medication Safety.

Hanna M Seidling1, David W Bates2.   

Abstract

Health IT is becoming an increasingly powerful tool for improving medication safety. While errors may happen at all stages of the medication process, different tools have been developed to support the prescribing process (e.g. computerized prescribing with decision support), the dispensing process (e.g. barcoding or automated dispensing and unit-dose systems), or the administration process (e.g. electronic medication administration records and smart pumps). Health IT can reduce medication error and preventable adverse drug event rates by increasing documentation quality and transparency, enhancing accuracy and correctness of the medication process, and supporting information exchange and interlinking different stages of the medication process. Typical evaluated endpoints comprise process-related outcomes such as number of medication errors, harm-related outcomes such as adverse drug events, or cost-related outcomes. Typical study design to measure effectiveness of health IT in medication safety comprises before-after studies and randomized controlled trials. However, implementation is challenging; it often has a major impact on the overall workflow and such technologies must be carefully introduced and their effects must be closely monitored in order to achieve the desired reductions, as in addition to preventing errors they nearly always introduce new ones. As complex interventions, their impact depends crucially on the real world setting and the implementation details and thus, transferability of study results is variable.

Entities:  

Mesh:

Year:  2016        PMID: 27198103

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  5 in total

Review 1.  Modulators Influencing Medication Alert Acceptance: An Explorative Review.

Authors:  Janina A Bittmann; Walter E Haefeli; Hanna M Seidling
Journal:  Appl Clin Inform       Date:  2022-08-18       Impact factor: 2.762

2.  The Impact of Technology on Prescribing Errors in Pediatric Intensive Care: A Before and After Study.

Authors:  Moninne M Howlett; Eileen Butler; Karen M Lavelle; Brian J Cleary; Cormac V Breatnach
Journal:  Appl Clin Inform       Date:  2020-05-06       Impact factor: 2.342

3.  Defining electronic-prescribing and infusion-related medication errors in paediatric intensive care - a Delphi study.

Authors:  Moninne M Howlett; Brian J Cleary; Cormac V Breatnach
Journal:  BMC Med Inform Decis Mak       Date:  2018-12-07       Impact factor: 2.796

4.  Understanding factors influencing uptake and sustainable use of the PINCER intervention at scale: A qualitative evaluation using Normalisation Process Theory.

Authors:  Libby Laing; Nde-Eshimuni Salema; Mark Jeffries; Azwa Shamsuddin; Aziz Sheikh; Antony Chuter; Justin Waring; Anthony Avery; Richard N Keers
Journal:  PLoS One       Date:  2022-09-19       Impact factor: 3.752

5.  Impact assessment of an automated drug-dispensing system in a tertiary hospital.

Authors:  Débora de-Carvalho; José Luiz Alvim-Borges; Cristiana Maria Toscano
Journal:  Clinics (Sao Paulo)       Date:  2017-10       Impact factor: 2.365

  5 in total

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