Purpose: The causes and frequency of medication errors occurring during information technology downtime were evaluated.
Methods: Individuals from a convenience sample of 78 hospitals who were directly responsible for supporting and maintaining clinical information systems (CISs) and automated dispensing systems (ADSs) were surveyed using an online tool between February 2007 and May 2007 to determine if medication errors were reported during periods of system downtime. The errors were classified using the National Coordinating Council for Medication Error Reporting and Prevention severity scoring index. The percentage of respondents reporting downtime was estimated.
Results: Of the 78 eligible hospitals, 32 respondents with CIS and ADS responsibilities completed the online survey for a response rate of 41%. For computerized prescriber order entry, patch installations and system upgrades caused an average downtime of 57% over a 12-month period. Lost interface and interface malfunction were reported for centralized and decentralized ADSs, with an average downtime response of 34% and 29%, respectively. The average downtime response was 31% for software malfunctions linked to clinical decision-support systems. Although patient harm did not result from 30 (54%) medication errors, the potential for harm was present for 9 (16%) of these errors.
Conclusion: Medication errors occurred during CIS and ADS downtime despite the availability of backup systems and standard protocols to handle periods of system downtime. Efforts should be directed to reduce the frequency and length of down-time in order to minimize medication errors during such downtime.
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http://dx.doi.org/10.2146/ajhp080389 | DOI Listing |
Int J Geriatr Psychiatry
December 2024
Population Health Science Institute, Faculty of Medical Science, Newcastle University, Newcastle-upon-Tyne, UK.
Introduction: International guidelines make recommendations for the delivery of safe, high-quality primary care for people with dementia including prescribing, personalised care planning and regular holistic reviews. It is unclear how the quality and safety of this healthcare varies with socio-economic factors.
Objective: This scoping review aimed to understand the depth and breadth of existing evidence exploring socio-economic variation in the quality and safety of primary care for people with dementia.
World J Methodol
December 2024
Department of Orthopaedics, ACS Medical College and Hospital, Dr MGR Educational and Research Institute, Chennai 600077, Tamil Nadu, India.
Background: Medication errors, especially in dosage calculation, pose risks in healthcare. Artificial intelligence (AI) systems like ChatGPT and Google Bard may help reduce errors, but their accuracy in providing medication information remains to be evaluated.
Aim: To evaluate the accuracy of AI systems (ChatGPT 3.
Pharmacol Rep
December 2024
Department of Experimental and Clinical Pharmacology, Centre for Preclinical Research and Technology (CEPT), Medical University of Warsaw, Banacha 1B, Warszawa, 02-097, Poland.
Sudden cessation of the drug can cause withdrawal syndrome, discontinuation syndrome, or rebound effect. The common feature of these phenomena is a quick onset, usually limited duration depending on the drug's half-life and remission after restarting the therapy. They are characterized by varying clusters of somatic, autonomic, and psychiatric symptoms.
View Article and Find Full Text PDFBMJ Open Qual
December 2024
Department of Emergency Medicine, Changi General Hospital, Singapore.
Medication errors continue to pose a significant risk to patient safety, accounting for half of the avoidable harm in healthcare systems around the world. In emergency departments (EDs), factors such as high patient loads and emergent nature of care increase the likelihood of such errors. An audit conducted at the ED of Changi General Hospital Singapore from January 2019 to July 2022 revealed that the duplicate therapy error comprised 31% of all reported medication errors.
View Article and Find Full Text PDFInt J Pharm Pract
December 2024
Department of Life Sciences, University of Bath, Bath, United Kingdom.
Objectives: To develop a tool to 'risk score' the potential harm of a medication error by estimating the probability of a range of potential consequences, and assess its feasibility, validity, and reliability.
Methods: The risk score tool described five levels of potential harm developed from an existing risk matrix. Judges estimated the likelihood of harm matching each level, from which a risk score (0-10) was calculated.
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