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Olakotan OO, Mohd Yusof M. The appropriateness of clinical decision support systems alerts in supporting clinical workflows: A systematic review. Health Informatics J 2021; 27:14604582211007536. [PMID: 33853395 DOI: 10.1177/14604582211007536] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
A CDSS generates a high number of inappropriate alerts that interrupt the clinical workflow. As a result, clinicians silence, disable, or ignore alerts, thereby undermining patient safety. Therefore, the effectiveness and appropriateness of CDSS alerts need to be evaluated. A systematic review was carried out to identify the factors that affect CDSS alert appropriateness in supporting clinical workflow. Seven electronic databases (PubMed, Scopus, ACM, Science Direct, IEEE, Ovid Medline, and Ebscohost) were searched for English language articles published between 1997 and 2018. Seventy six papers met the inclusion criteria, of which 26, 24, 15, and 11 papers are retrospective cohort, qualitative, quantitative, and mixed-method studies, respectively. The review highlights various factors influencing the appropriateness and efficiencies of CDSS alerts. These factors are categorized into technology, human, organization, and process aspects using a combination of approaches, including socio-technical framework, five rights of CDSS, and Lean. Most CDSS alerts were not properly designed based on human factor methods and principles, explaining high alert overrides in clinical practices. The identified factors and recommendations from the review may offer valuable insights into how CDSS alerts can be designed appropriately to support clinical workflow.
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Barriers and facilitators influencing medication-related CDSS acceptance according to clinicians: A systematic review. Int J Med Inform 2021; 152:104506. [PMID: 34091146 DOI: 10.1016/j.ijmedinf.2021.104506] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 04/20/2021] [Accepted: 05/18/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND A medication-related Clinical Decision Support System (CDSS) is an application that analyzes patient data to provide assistance in medication-related care processes. Despite its potential to improve the clinical decision-making process, evidence shows that clinicians do not always use CDSSs in such a way that their potential can be fully realized. This systematic literature review provides an overview of frequently-reported barriers and facilitators for acceptance of medication-related CDSS. MATERIALS AND METHODS Search terms and MeSH headings were developed in collaboration with a librarian, and database searches were conducted in Medline, Scopus, Embase and Web of Science Conference Proceedings. After screening 5404 records and 140 full papers, 63 articles were included in this review. Quality assessment was performed for all 63 included articles. The identified barriers and facilitators are categorized within the Human, Organization, Technology fit (HOT-fit) model. RESULTS A total of 327 barriers and 291 facilitators were identified. Results show that factors most often reported were related to (a lack of) usefulness and relevance of information, and ease of use and efficiency of the system. DISCUSSION This review provides a valuable insight into a broad range of barriers and facilitators for using a medication-related CDSS as perceived by clinicians. The results can be used as a stepping stone in future studies developing medication-related CDSSs.
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Kao D, Larson C, Fletcher D, Stegner K. Clinical Decision Support May Link Multiple Domains to Improve Patient Care: Viewpoint. JMIR Med Inform 2020; 8:e20265. [PMID: 33064106 PMCID: PMC7600021 DOI: 10.2196/20265] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/31/2020] [Accepted: 08/01/2020] [Indexed: 11/13/2022] Open
Abstract
Integrating clinical decision support (CDS) across the continuum of population-, encounter-, and precision-level care domains may improve hospital and clinic workflow efficiency. Due to the diversity and volume of electronic health record data, complexity of medical and operational knowledge, and specifics of target user workflows, the development and implementation of comprehensive CDS is challenging. Additionally, many providers have an incomplete understanding of the full capabilities of current CDS to potentially improve the quality and efficiency of care delivery. These varied requirements necessitate a multidisciplinary team approach to CDS development for successful integration. Here, we present a practical overview of current and evolving applications of CDS approaches in a large academic setting and discuss the successes and challenges. We demonstrate that implementing CDS tools in the context of linked population-, encounter-, and precision-level care provides an opportunity to integrate complex algorithms at each level into a unified mechanism to improve patient management.
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Affiliation(s)
- David Kao
- Department of Cardiology, University of Colorado School of Medicine, Aurora, CO, United States
| | | | - Dana Fletcher
- Evida Clinical Consulting, Inc, Golden, CO, United States
| | - Kris Stegner
- G(x)P Advisors, Inc, Thornton, CO, United States
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Olakotan OO, Yusof MM. Evaluating the alert appropriateness of clinical decision support systems in supporting clinical workflow. J Biomed Inform 2020; 106:103453. [PMID: 32417444 DOI: 10.1016/j.jbi.2020.103453] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 05/08/2020] [Accepted: 05/09/2020] [Indexed: 02/06/2023]
Abstract
The overwhelming number of medication alerts generated by clinical decision support systems (CDSS) has led to inappropriate alert overrides, which may lead to unintended patient harm. This review highlights the factors affecting the alert appropriateness of CDSS and barriers to the fit of CDSS alert with clinical workflow. A literature review was conducted to identify features and functions pertinent to CDSS alert appropriateness using the five rights of CDSS. Moreover, a process improvement method, namely, Lean, was used as a tool to optimise clinical workflows, and the appropriate design for CDSS alert using a human automation interaction (HAI) model was recommended. Evaluating the appropriateness of CDSS alert and its impact on workflow provided insights into how alerts can be designed and triggered effectively to support clinical workflow. The application of Lean methods and tools to analyse alert efficiencies in supporting workflow in this study provides an in-depth understanding of alert-workflow fit problems and their root cause, which is required for improving CDSS design. The application of the HAI model is recommended in the design of CDSS alerts to support various levels and stages of alert automations, namely, information acquisition and analysis, decision action and action implementation.
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Affiliation(s)
| | - Maryati Mohd Yusof
- Faculty of Information Science & Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
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Sennesael AL, Krug B, Sneyers B, Spinewine A. Do computerized clinical decision support systems improve the prescribing of oral anticoagulants? A systematic review. Thromb Res 2020; 187:79-87. [PMID: 31972381 DOI: 10.1016/j.thromres.2019.12.023] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 12/13/2019] [Accepted: 12/28/2019] [Indexed: 12/31/2022]
Abstract
BACKGROUND Serious adverse drug reactions have been associated with the underuse or the misuse of oral anticoagulant therapy. We systematically reviewed the impact of computerized clinical decision support systems (CDSS) on the prescribing of oral anticoagulants and we described CDSS features associated with success or failure. METHODS We searched Medline, Embase, CENTRAL, CINHAL, and PsycINFO for studies that compared CDSS for the initiation or monitoring of oral anticoagulants with routine care. Two reviewers performed study selection, data collection, and risk-of-bias assessment. Disagreements were resolved with a third reviewer. Potentially important CDSS features, identified from previous literature, were evaluated. RESULTS Sixteen studies were included in our qualitative synthesis. Most trials were performed in primary care (n = 7) or hospitals (n = 6) and included atrial fibrillation (AF) patients (n = 9). Recommendations mainly focused on anticoagulation underuse (n = 11) and warfarin-drug interactions (n = 5). Most CDSS were integrated in electronic records or prescribing and provided support automatically at the time and location of decision-making. Significant improvements in practitioner performance were found in 9 out of 16 studies, while clinical outcomes were poorly reported. CDSS features seemed slightly more common in studies that demonstrated improvement. CONCLUSIONS CDSS might positively impact the use of oral anticoagulants in AF patients at high risk of stroke. The scope of CDSS should now evolve to assist prescribers in selecting the most appropriate and tailored medication. Efforts should nevertheless be made to improve the relevance of notifications and to address implementation outcomes.
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Affiliation(s)
- Anne-Laure Sennesael
- Université catholique de Louvain, Louvain Drug Research Institute, Clinical Pharmacy Research Group, Brussels, Belgium; Université catholique de Louvain, CHU UCL Namur, Department of Pharmacy, Yvoir, Belgium.
| | - Bruno Krug
- Université catholique de Louvain, CHU UCL Namur, Department of Nuclear Medicine, Yvoir, Belgium; Université catholique de Louvain, Institute of Health and Society, Brussels, Belgium
| | - Barbara Sneyers
- Université catholique de Louvain, CHU UCL Namur, Department of Pharmacy, Yvoir, Belgium
| | - Anne Spinewine
- Université catholique de Louvain, Louvain Drug Research Institute, Clinical Pharmacy Research Group, Brussels, Belgium; Université catholique de Louvain, CHU UCL Namur, Department of Pharmacy, Yvoir, Belgium
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Cornu P, Phansalkar S, Seger DL, Cho I, Pontefract S, Robertson A, Bates DW, Slight SP. High-priority and low-priority drug-drug interactions in different international electronic health record systems: A comparative study. Int J Med Inform 2018; 111:165-171. [PMID: 29425628 DOI: 10.1016/j.ijmedinf.2017.12.027] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 11/28/2017] [Accepted: 12/28/2017] [Indexed: 10/18/2022]
Abstract
OBJECTIVES To investigate whether alert warnings for high-priority and low-priority drug-drug interactions (DDIs) were present in five international electronic health record (EHR) systems, to compare and contrast the severity level assigned to them, and to establish the proportion of alerts that were overridden. METHODS We conducted a comparative, retrospective, multinational study using a convenience sample of 5 EHRs from the U.S., U.K., Republic of Korea and Belgium. RESULTS Of the 15 previously defined, high-priority, class-based DDIs, alert warnings were found to exist for 11 in both the Korean and UK systems, 9 in the Belgian system, and all 15 in the two US systems. The specific combinations that were included in these class-based DDIs varied considerably in number, type and level of severity amongst systems. Alerts were only active for 8.4% (52/619) and 52.4% (111/212) of the specific drug-drug combinations contained in the Belgian and UK systems, respectively. Hard stops (not possible to override) existed in the US and UK systems only. The override rates for high-priority alerts requiring provider action ranged from 56.7% to 83.3%. Of the 33 previously defined low-priority DDIs, active alerts existed only in the US systems, for three class-based DDIs. The majority were non-interruptive. CONCLUSIONS Alert warnings existed for most of the high-priority DDIs in the different EHRs but overriding them was easy in most of the systems. In addition to validating the high- and low-priority DDIs, this study reported a lack of standardization in DDI levels across different international knowledge bases.
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Affiliation(s)
- Pieter Cornu
- Research group, Clinical Pharmacology & Clinical Pharmacy (KFAR), Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel, Laarbeeklaan 101, 1090, Brussels, Belgium
| | - Shobha Phansalkar
- The Centre for Patient Safety Research and Practice, Division of General Internal Medicine and Primary Care, Partners Healthcare, Boston, MA, USA; Harvard Medical School, 250 Longwood Ave, Boston, MA, USA
| | - Diane L Seger
- The Centre for Patient Safety Research and Practice, Division of General Internal Medicine and Primary Care, Partners Healthcare, Boston, MA, USA; Partners Healthcare, Wellesley, MA, USA
| | - Insook Cho
- Department of Nursing, Inha University, Incheon, Republic of Korea
| | - Sarah Pontefract
- School of Pharmacy, Institute of Clinical Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | | | - David W Bates
- The Centre for Patient Safety Research and Practice, Division of General Internal Medicine and Primary Care, Partners Healthcare, Boston, MA, USA; Harvard Medical School, 250 Longwood Ave, Boston, MA, USA; Harvard School of Public Health, 677 Huntington Avenue, Boston, MA, USA
| | - Sarah P Slight
- The Centre for Patient Safety Research and Practice, Division of General Internal Medicine and Primary Care, Partners Healthcare, Boston, MA, USA; School of Pharmacy, Newcastle University, King George VI Building, Newcastle Upon Tyne, Queen Victoria Road, UK; Newcastle upon Tyne Hospitals NHS Foundation Trust, Queen Victoria Road, Newcastle, UK.
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A survey of attitudes, practices, and knowledge regarding drug-drug interactions among medical residents in Iran. Int J Clin Pharm 2017; 39:560-568. [PMID: 28382584 DOI: 10.1007/s11096-017-0453-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2016] [Accepted: 03/07/2017] [Indexed: 10/19/2022]
Abstract
Background When prescribing medications, physicians should recognize clinically relevant potential drug-drug interactions (DDIs). To improve medication safety, it is important to understand prescribers' knowledge and opinions pertaining to DDIs. Objective To determine the current DDI information sources used by medical residents, their knowledge of DDIs, their opinions about performance feedback on co-prescription of interacting drugs. Setting Academic hospitals of Mashhad University of Medical Sciences (MUMS) in Iran. Methods A questionnaire containing questions regarding demographic and practice characteristics, DDI information sources, ability to recognize DDIs, and opinions about performance feedback was distributed to medical residents of 22 specialties in eight academic hospitals in Iran. We analyzed their perception pertaining to DDIs, their performance on classifying drug pairs, and we used a linear regression model to assess the association of potential determinants on their DDI knowledge. Main Outcome Measure prescribers' knowledge and opinions pertaining to DDIs. Results The overall response rate and completion rate for 315 distributed questionnaires were 90% (n = 295) and 86% (n = 281), respectively. Among DDI information sources, books, software on mobile phone or tablet, and Internet were the most commonly-used references. Residents could correctly classify only 41% (5.7/14) of the drug pairs. The regression model showed no significant association between residents' characteristics and their DDI knowledge. An overwhelming majority of the respondents (n = 268, 95.4%) wished to receive performance feedback on co-prescription of interacting drugs in their prescriptions. They mostly selected information technology-based tools (i.e. short text message and email) as their preferred method of receiving feedback. Conclusion Our findings indicate that prescribers may have poor ability to prevent clinically relevant potential DDI occurrence, and they perceive the need for performance feedback. These findings underline the importance of well-designed computerized alerting systems and delivering performance feedback to improve patient safety.
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Ifediora CO. Quality in Australian after-hours doctor home visits: exploring the clinical, professional and security supports available to involved practitioners. J Eval Clin Pract 2017; 23:308-315. [PMID: 27440579 DOI: 10.1111/jep.12605] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Revised: 06/15/2016] [Accepted: 06/16/2016] [Indexed: 01/05/2023]
Abstract
RATIONALE, AIMS AND OBJECTIVES The after-hours house call (AHHC) services in Australia has gained huge popularity in recent years, but it is not clear how well supported the involved doctors feel regarding the clinical, professional and security aspects of their work. It is important that this knowledge gap is filled given that appropriate support helps engender quality in health service delivery. METHODS This is a questionnaire-based electronic survey involving a sample frame of all 300 doctors participating in AHHC through the National Home Doctor Service. National Home Doctor Service is Australia's largest AHHC service provider. RESULTS A total of 168 valid responses (56.0%) were received. Overall, the mean support levels were mild to moderate, ranging from 2.4 to 2.8 out of 4.0 for all three parameters. Specifically, 65.3% of the respondents felt well-supported on clinical issues, 64.7% on professional issues and 43.2% on security issues. Australian-trained doctors were less likely to feel well supported on all aspects [Clinical: odds ratio (OR) 0.38, confidence interval (CI) 0.16 to 0.90; Professional: OR 0.30, CI 0.13 to 0.72; and Security: OR 0.22; CI 0.09 to 0.53] compared with overseas-trained ones. Unsurprisingly, doctors who adopted protective measures felt significantly better supported regarding security (OR 2.75; CI 1.31 to 5.78). CONCLUSION There is room for improvement regarding support on AHHC in Australia, and concerned Surgeries should ensure that where available these supports are appropriately utilized.
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Affiliation(s)
- Chris Onyebuchi Ifediora
- Senior Lecturer, Griffith University School of Medicine, Griffith Health Centre, Gold Coast, Queenland, Australia
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Vandersteegen T, Marneffe W, Vandijck D. Advantages and disadvantages of the Belgian not-only-fault system for medical incidents. Acta Clin Belg 2017; 72:36-38. [PMID: 27383736 DOI: 10.1080/17843286.2016.1202371] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
In 2010, the Belgian compensation system for medical incidents was reformed, in order to overcome some important deficiencies of court procedures. This resulted in a not-only-fault compensation system, following the establishment of the Fund for Medical Accidents (FMA). This paper seeks to clarify the main advantages and disadvantages of this reform. After all, the legislator paid little attention to the impact on physicians, who also seem to be insufficiently informed. However, currently the FMA experiences a significant delay in processing compensation requests. The true effects of the not-only-fault system for patients and physicians as well as for health care quality therefore still remain unclear today.
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Affiliation(s)
| | - Wim Marneffe
- Faculty of Applied Economics, Hasselt University, Hasselt, Belgium
| | - Dominique Vandijck
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department of Public Health, Ghent University, Ghent, Belgium
- Department of General Internal Medicine, Ghent University Hospital, Ghent, Belgium
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Giraldo NA, Amariles P, Monsalve M, Faus MJ. Free software to analyse the clinical relevance of drug interactions with antiretroviral agents (SIMARV ®) in patients with HIV/AIDS. Res Social Adm Pharm 2016; 13:831-839. [PMID: 27751754 DOI: 10.1016/j.sapharm.2016.09.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2016] [Accepted: 09/17/2016] [Indexed: 11/24/2022]
Abstract
BACKGROUND Highly active antiretroviral therapy has extended the expected lifespan of patients with HIV/AIDS. However, the therapeutic benefits of some drugs used simultaneously with highly active antiretroviral therapy may be adversely affected by drug interactions. OBJECTIVE The goal was to design and develop a free software to facilitate analysis, assessment, and clinical decision making according to the clinical relevance of drug interactions in patients with HIV/AIDS. METHODS A comprehensive Medline/PubMed database search of drug interactions was performed. Articles that recognized any drug interactions in HIV disease were selected. The publications accessed were limited to human studies in English or Spanish, with full texts retrieved. Drug interactions were analyzed, assessed, and grouped into four levels of clinical relevance according to gravity and probability. Software to systematize the information regarding drug interactions and their clinical relevance was designed and developed. RESULTS Overall, 952 different references were retrieved and 446 selected; in addition, 67 articles were selected from the citation lists of identified articles. A total of 2119 pairs of drug interactions were identified; of this group, 2006 (94.7%) were drug-drug interactions, 1982 (93.5%) had an identified pharmacokinetic mechanism, and 1409 (66.5%) were mediated by enzyme inhibition. In terms of clinical relevance, 1285 (60.6%) drug interactions were clinically significant in patients with HIV (levels 1 and 2). With this information, a software program that facilitates identification and assessment of the clinical relevance of antiretroviral drug interactions (SIMARV®) was developed. CONCLUSIONS A free software package with information on 2119 pairs of antiretroviral drug interactions was designed and developed that could facilitate analysis, assessment, and clinical decision making according to the clinical relevance of drug interactions in patients with HIV/AIDS.
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Affiliation(s)
- N A Giraldo
- Research Group on Pharmaceutical Prevention and Promotion, University of Antioquia, Medellin, Colombia; Pharmaceutical Care Program, Humax Pharmaceutical, Medellin, Colombia
| | - P Amariles
- Research Group on Pharmaceutical Prevention and Promotion, University of Antioquia, Medellin, Colombia; Department of Pharmacy, University of Antioquia, Medellin, Colombia; Research Group on Pharmaceutical Care, University of Granada, Granada, Spain.
| | - M Monsalve
- Research Group on Pharmaceutical Prevention and Promotion, University of Antioquia, Medellin, Colombia; Pharmaceutical Care Program, Humax Pharmaceutical, Medellin, Colombia
| | - M J Faus
- Research Group on Pharmaceutical Care, University of Granada, Granada, Spain; Department of Biochemistry and Molecular Biology, University of Granada, Spain
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Cornu P, Steurbaut S, Gentens K, Van de Velde R, Dupont AG. Pilot evaluation of an optimized context-specific drug–drug interaction alerting system: A controlled pre-post study. Int J Med Inform 2015; 84:617-29. [DOI: 10.1016/j.ijmedinf.2015.05.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2014] [Revised: 12/08/2014] [Accepted: 05/13/2015] [Indexed: 01/08/2023]
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