Retrospective descriptive assessment of clinical decision support medication-related alerts in two Saudi Arabian hospitals

OBJECTIVES: To determine the frequency of clinical decision support system (CDSS) medication-related alerts generated, accepted, or overridden, to assess appropriateness of alert display and overrides, and to characterise the documentation of clinician justification for these overrides in an academic medical centre in Saudi Arabia. MATERIALS AND METHODS: System-generated CDSS reports for the period June 2015 to December 2017 were retrospectively reviewed and analysed. Alerts were classified into different types, and rates of alert overrides calculated as percentages of all generated alerts. A subset of 307 overridden alerts was assessed for appropriateness of display and override by two clinical pharmacists. Physician documentation of reasons for overriding alerts were categorised. RESULTS: A total of 4,446,730 medication-related alerts were generated from both inpatient and outpatient settings, and 4,231,743 (95.2%) were overridden. The most common alert type was 'duplicate drug', accounting for 3,549,736 (79.8%) of alerts. Of 307 alerts assessed for appropriateness, 246 (80%) were judged to be appropriately displayed and 244 (79%) were overridden appropriately. New drug allergy and drug allergy alerts had the highest percentage of being judged as inappropriately overridden. For 1,594,313 alerts (37.7%), 'no overridden reason selected' was chosen from the drop-down menu. CONCLUSIONS: The alert generation and override rate were higher than reported previously in the literature. The small sample size of 307 alerts assessed for appropriateness of alert display and override is a potential limitation. Revision of the CDSS rules for alerts (focusing on specificity and relevance for the local context) is now recommended. Future research should prospectively assess providers' perspectives, and determine patient harm associated with overridden alerts

Process Improvement to Reduce Route of Medication Administration Errors in Patients with Enteral Feeding Tubes

Advances in health information management in the form electronic health records, computerized provider order entry systems, and clinical decision support systems and tools have enhanced the productivity, effectiveness, and efficiency of healthcare. However, the cost of these positive effects does come at the expense of other factors. Along with the introduction of Clinical Provider Order Entry (CPOE) systems, organizations have experienced new possibilities for medication errors and risks to patient safety. Factors associated with these errors should be evaluated in detail in order to mitigate the causes of these types of errors and to plan strategies for prevention. Continued research into how to improve the quality of these systems is necessary to promote the usability and acceptance of CPOE systems by prescribers and to continue to make an impact on the frequency of medication errors within health care organizations. Health care organizations must develop strategies to improve the rate of medication errors caused by CPOE systems. Strategies may vary from organization to organization, and depend upon organization-specific resources. Ideally, a plan to improve patient safety and prevent errors related to CPOE systems would include stakeholders such as the clinical team and providers, involve a system that can audit the frequency of errors, and include ongoing education about the problem and the proposed solution. A plan to prevent errors and improve patient safety that is not-dependent upon the intricacies of a specific electronic medical record is ideal. A strategy that can carry-over from one electronic medical record system to the next and that can address the central problem with accuracy, efficiency, and evidence-based research will be proposed

재구성과 희석 과정 개선을 위한 정맥주사 정보 시스템의 평가

학위논문 (박사)-- 서울대학교 대학원 : 약학과, 2017. 2. 신완균.Background: There are very few studies reporting the impact of providing intravenous (IV) preparation information on quality use of antimicrobials, particularly regarding their reconstitution and dilution. Therefore, to improve these processes in IV antimicrobial administration, an IV preparation information system (IPIS) was implemented in a hospital. Objective: We aimed to evaluate the effect of improving reconstitution and dilution by implementing an IPIS in the electronic medical record (EMR) system. Methods: Prescriptions and activity records of nurses for injectable antimicrobials requiring reconstitution and dilution for IV preparation from January 2008 to December 2013 were retrieved from EMR, and assessed the accuracy of reconstitution or dilution solutions based on the instructions provided by the package insert. We defined proper reconstitution and dilution as occurring when the reconstitution and dilution solutions prescribed were consistent with the nurses' acting records. The types of intervention in the IPIS were as follows: a pop-up alert for proper reconstitution and passive guidance for proper dilution. We calculated the monthly proper reconstitution rate (PRR) and proper dilution rate (PDR) and evaluated the changes in these rates and trends using interrupted time series analyses. Results: Prior to the initiation of the reconstitution alert and dilution information, the PRR and PDR were 12.7% and 46.1%, respectively. The reconstitution alert of the IPIS rapidly increased the PRR by 41% (p < 0.001), after which the PRR decreased by 0.9% (p = 0.013) per month after several months. However, there was no significant change in the rate or trend of the PDR during the study period. Conclusions: This study demonstrated that the provision of reconstitution alerts by the IPIS contributed to improving the reconstitution process of IV antimicrobial injection administration. However, the sustainability of the impact was not evident. Furthermore, solutions to ensure the continuous effectiveness of alert systems are warranted and should be actively sought.INTRODUCTION 1 METHODS 4 RESULTS 18 DISCUSSION 31 CONCLUSION 41 RFERENCES 43 국문초록 51Docto

Health Information Technology in the United States, 2008

Provides updated survey data on health information technology (HIT) and electronic health records adoption, with a focus on providers serving vulnerable populations. Examines assessments of HIT's effect on the cost and quality of care and emerging issues

The Use of Routinely Collected Data in Clinical Trial Research

RCTs are the gold standard for assessing the effects of medical interventions, but they also pose many challenges, including the often-high costs in conducting them and a potential lack of generalizability of their findings. The recent increase in the availability of so called routinely collected data (RCD) sources has led to great interest in their application to support RCTs in an effort to increase the efficiency of conducting clinical trials. We define all RCTs augmented by RCD in any form as RCD-RCTs. A major subset of RCD-RCTs are performed at the point of care using electronic health records (EHRs) and are referred to as point-of-care research (POC-R). RCD-RCTs offer several advantages over traditional trials regarding patient recruitment and data collection, and beyond. Using highly standardized EHR and registry data allows to assess patient characteristics for trial eligibility and to examine treatment effects through routinely collected endpoints or by linkage to other data sources like mortality registries. Thus, RCD can be used to augment traditional RCTs by providing a sampling framework for patient recruitment and by directly measuring patient relevant outcomes. The result of these efforts is the generation of real-world evidence (RWE). Nevertheless, the utilization of RCD in clinical research brings novel methodological challenges, and issues related to data quality are frequently discussed, which need to be considered for RCD-RCTs. Some of the limitations surrounding RCD use in RCTs relate to data quality, data availability, ethical and informed consent challenges, and lack of endpoint adjudication which may all lead to uncertainties in the validity of their results. The purpose of this thesis is to help fill the aforementioned research gaps in RCD-RCTs, encompassing tasks such as assessing their current application in clinical research and evaluating the methodological and technical challenges in performing them. Furthermore, it aims to assess the reporting quality of published reports on RCD-RCTs

Decision Support Systems

Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: knowledge base, computerized model, and user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions. The applications of DSS cover many domains, ranging from aviation monitoring, transportation safety, clinical diagnosis, weather forecast, business management to internet search strategy. By combining knowledge bases with inference rules, DSS are able to provide suggestions to end users to improve decisions and outcomes. This book is written as a textbook so that it can be used in formal courses examining decision support systems. It may be used by both undergraduate and graduate students from diverse computer-related fields. It will also be of value to established professionals as a text for self-study or for reference

Usability analysis of contending electronic health record systems

In this paper, we report measured usability of two leading EHR systems during procurement. A total of 18 users participated in paired-usability testing of three scenarios: ordering and managing medications by an outpatient physician, medicine administration by an inpatient nurse and scheduling of appointments by nursing staff. Data for audio, screen capture, satisfaction rating, task success and errors made was collected during testing. We found a clear difference between the systems for percentage of successfully completed tasks, two different satisfaction measures and perceived learnability when looking at the results over all scenarios. We conclude that usability should be evaluated during procurement and the difference in usability between systems could be revealed even with fewer measures than were used in our study. © 2019 American Psychological Association Inc. All rights reserved.Peer reviewe