Retrospective evaluation of clinical decision support for within-laboratory optimization of SARS-CoV-2 NAAT workflow.

The unprecedented demand for severe acute respiratory syndrome coronavirus 2 (SARS­CoV­2) testing led to challenges in prioritizing and processing specimens efficiently. We describe and evaluate a novel workflow using provider- and patient-facing ask at order entry (AOE) questions to generate distinctive icons on specimen labels for within-laboratory clinical decision support (CDS) for specimen triaging. A multidisciplinary committee established target turnaround times (TATs) for SARS-CoV-2 nucleic acid amplification test (NAAT) based on common clinical scenarios. A set of AOE questions was used to collect relevant clinical information that prompted icon generation for triaging SARS-CoV-2 NAAT specimens. We assessed the collect-to-verify TATs among relevant clinical scenarios. Our study included a total of 1,385,813 SARS-CoV-2 NAAT conducted from March 2020 to June 2022. Most testing met the TAT targets established by institutional committees, but deviations from target TATs occurred during periods of high demand and supply shortages. Median TATs for emergency department (ED) and inpatient specimens and ambulatory pre-procedure populations were stable over the pandemic. However, healthcare worker and other ambulatory test TATs varied substantially, depending on testing volume and community transmission rates. Median TAT significantly differed throughout the pandemic for ED and inpatient clinical scenarios, and there were significant differences in TAT among label icon-signified ambulatory clinical scenarios. We describe a novel approach to CDS for triaging specimens within the laboratory. The use of CDS tools could help clinical laboratories prioritize and process specimens efficiently, especially during times of high demand. Further studies are needed to evaluate the impact of our CDS tool on overall laboratory efficiency and patient outcomes. IMPORTANCE We describe a novel approach to clinical decision support (CDS) for triaging specimens within the clinical laboratory for severe acute respiratory syndrome coronavirus 2 (SARS­CoV­2) nucleic acid amplification tests (NAAT). The use of our CDS tool could help clinical laboratories prioritize and process specimens efficiently, especially during times of high demand. There were significant differences in the turnaround time for specimens differentiated by icons on specimen labels. Further studies are needed to evaluate the impact of our CDS tool on overall laboratory efficiency and patient outcomes.

Assessing the impact of an electronic chemotherapy order verification checklist on pharmacist reported errors in oncology infusion centers of a health-system.

PURPOSE: Chemotherapies are medications with narrow therapeutic indices and potential for severe adverse events that account for at least 1 to 3% of medication errors in all adult and pediatric oncology patients. The use of an electronic chemotherapy order verification (ECOV) checklist can standardize the steps of chemotherapy verification by pharmacists, which can potentially increase medication error detection at the point of dispensing. This study evaluated the implementation of a standardized chemotherapy order verification checklist on pharmacist error reporting, particularly good-catches or near-misses type errors. METHODS: This retrospective, quasi-experimental, pre-/post-analysis of internal voluntary medication errors reported from 12 University Hospitals Seidman oncology infusion centers from June 2022 through December 2022. Error reports, categorized based on severity, were compared pre/post-implementation of the ECOV checklist. RESULTS: A total of 62 and 71 cases of medication errors were reported in the pre-intervention and post-intervention periods, respectively. The rate of pharmacy reported medication errors was 2.4 times greater in the post-intervention period of the ECOV checklist (p < 0.006). Pharmacy reported errors increased among all error severities reported. However, the finding did not deduce a statistically significant difference (p < 0.244). CONCLUSION: This study demonstrates the effectiveness of implementing the ECOV checklist in increasing the rate of pharmacy reported medication errors. The checklist was designed to complement existing pharmacist workflow and provide a source of documentation for steps of sequential pharmacist evaluation.

Passive order auditing associated with reductions in red blood cell utilization: National blood shortage experience.

BACKGROUND: Decreased blood collection during the Coronavirus Disease 2019 (COVID-19) pandemic resulted in long-term red blood cell (RBC) shortages in the United States. In an effort to conserve RBCs, the existing passive alert system for auditing inpatient transfusions was modified to activate at a lower hemoglobin threshold (6.5 g/dL instead of 7.0 g/dL for stable, nonbleeding inpatients) during a 9-month shortage at an academic medical center. Hemoglobin levels prior to RBC transfusions were compared for inpatients receiving RBC transfusions to determine whether RBC utilization changed during the intervention. STUDY DESIGN AND METHODS: This retrospective study compared the number of single-unit RBC transfusions and hemoglobin levels prior to RBC transfusion among inpatients during the 9 months of the intervention (Period 2, 06/01/2021-2/28/2022) to the same period of the previous year (Period 1, 06/01/2020-2/28/2021). RESULTS: Overall full unit RBC transfusions to inpatients decreased by 15% from 5182 to 4421. Of all transfusions, 50.3% and 49.8% were single-unit RBC transfusions in Period 1 and Period 2, respectively. The incidence rate difference and incidence rate ratio of single RBC units transfused per 1000 patient days were significantly decreased (p = 0.0007). The average pre-transfusion hemoglobin level significantly decreased from 7.18 g/dL to 7.05 g/dL (p = 0.0002), largely due to significant decreases in hemoglobin transfusion triggers for adult inpatient ward transfusions. DISCUSSION: Modification of the passive alert system was associated with significantly decreased RBC utilization during a long-term RBC shortage. Modification of transfusion criteria recommended by passive alerts may be a feasible option to decrease RBC utilization at centers during long-term RBC shortages.

Management of warfarin-associated intracerebral hemorrhage before and after implementation of an order set and prospective pharmacist order verification.

Management of warfarin-associated intracerebral hemorrhage (ICH) necessitates rapid reversal of anticoagulation. Guideline-based management of warfarin-associated ICH includes timely administration of prothrombin complex concentrate (PCC) and intravenous (IV) vitamin K. In 2017, our hospital implemented an order set for warfarin reversal to facilitate computerized provider order entry (CPOE), and the pharmacy department began prospective verification and dispensing of all PCC orders for anticoagulant reversal. We sought to compare the proportion of patients who received timely, guideline-based therapy for warfarin-associated ICH before and after these changes. We conducted a single-center, retrospective cohort study of all warfarin-associated ICH patients who had an order for PCC. A total of 66 patients were included; 32 patients (pre-intervention cohort) were evaluated in the 2 year period prior to the process improvement changes, while 34 patients (post-intervention cohort) were evaluated in the 2 year period following these changes. Baseline characteristics were similar between groups. The proportion of patients receiving timely guideline-based therapy was significantly higher in the post-intervention cohort compared to the pre-intervention cohort (76.5% vs 34.4%, p < 0.001), primarily driven by increased ordering of vitamin K 10 mg IV in conjunction with PCC in the post-intervention cohort. Our results indicate that implementation of an order set to assist with CPOE, in addition to prospective pharmacist verification of PCC orders, leads to increased adherence to guideline-based management of warfarin-associated ICH.

Trends in the use of computerized physician order entry by health-system affiliated ambulatory clinics in the United States, 2014-2016.

BACKGROUND: Computerized provider order entry (CPOE) can help providers deliver better quality care. We aimed to understand recent trends in use of CPOE by health system-affiliated ambulatory clinics. METHODS: We analyzed longitudinal data (2014-2016) for 19,109 ambulatory clinics that participated in all 3 years of the Healthcare Information and Management Systems Society Analytics survey to assess use of CPOE and identify characteristics of clinics associated with CPOE use. We calculated descriptive statistics to examine overall trends in use, location of order entry (bedside vs. clinical station), and system-level use CPOE across all clinics. We used linear probability models to explore the association between clinic characteristics (practice size, practice type, and health system type) and two outcomes of interest: CPOE use at any point between 2014 and 2016, and CPOE use beginning in 2015 or 2016. RESULTS: Between 2014 and 2016, use of CPOE increased more than 9 percentage points from 58 to 67%. Larger clinics and those affiliated with multi-hospital health systems were more likely to have reported use of CPOE. We found no difference in CPOE use by primary care versus specialty care clinics. When used, most clinics reported using CPOE for most or all of their orders. Health systems that used CPOE usually did so for all system-affiliated clinics. CONCLUSIONS: Small practice size or not being part of a multi-hospital system are associated with lower use of CPOE between 2014 and 2016. Less than optimal use in these environments may be harming patient outcomes.

Sustained Increases in the Quality of Imaging Histories Provided by Ordering Providers Resulting From Multidisciplinary Collaboration and Systems Design.

OBJECTIVE. The purpose of this quality improvement project was to create sustained improvement in the frequency of more complete imaging histories provided with imaging examinations submitted directly by ordering providers. A secondary purpose was increasing the number of characters submitted by ordering providers with imaging examinations. MATERIALS AND METHODS. A multidisciplinary team defined the components of a complete imaging history, a process that underwent several improvement cycles. Audits were regularly performed using consensus, and the project team regularly evaluated the completeness of the imaging histories. The final components of the definition of a complete imaging history included responses regarding what happened, when it happened, where the patient was experiencing pain, and the ordering provider's concern. Prompts were inserted into the electronic physician order entry process, and performance was monitored for an additional 18 months. RESULTS. A total of 10,236 orders were placed by providers in the study clinic from March 13, 2017, to December 16, 2018. Of the orders audited in the baseline period, 16.0% (64/397) of orders audited in the baseline period contained all four history components, which increased to 52.0% (2200/4234; absolute increase of 36.0%, relative increase of 225.0%; p < 0.0001) in the subsequent time periods, and improvement was sustained. The mean number of characters providers entered in the imaging histories they submitted increased from 45.4 characters per order during the baseline period to 75.4 (66.1% increase, p < 0.0001) after the intervention. CONCLUSION. By collaborating with a multidisciplinary team, we created a standardized definition of an imaging history, engineered our systems to include supportive prompts in the order entry interface, and sustainably improved the quality of imaging histories provided.

Medication safety incidents in paediatric oncology after electronic medication management system implementation.

OBJECTIVE: To explore medication safety issues related to use of an electronic medication management system (EMM) in paediatric oncology practice, through the analysis of patient safety incident reports. METHODS: We analysed 827 voluntarily reported incidents relating to oncology patients that occurred over an 18-month period immediately following implementation of an EMM in a paediatric hospital in Australia. We identified medication-related and EMM-related incidents and carried out a content analysis to identify patterns. RESULTS: We found ~79% (n = 651) of incidents were medication-related and, of these, ~45% (n = 294) were EMM-related. Medication-related incidents included issues with: prescribing; dispensing; administration; patient transfers; missing chemotherapy protocols and information on current stage of patient treatment; coordination of chemotherapy administration; handling or storing medications; children or families handling medications. EMM-related incidents were classified into four groups: technical issues, issues with the user experience, unanticipated problems in EMM workflow, and missing safety features. CONCLUSIONS: Incidents reflected difficulties with managing therapies rich in interdependencies. EMM, and especially its 'automaticity', contributed to these incidents. As EMM impacts on safety in such high-risk settings, it is essential that users are aware of and attend to EMM automatic behaviours and are equipped to troubleshoot them.

Qualitative study exploring the phenomenon of multiple electronic prescribing systems within single hospital organisations.

BACKGROUND: A previous census of electronic prescribing (EP) systems in England showed that more than half of hospitals with EP reported more than one EP system within the same hospital. Our objectives were to describe the rationale for having multiple EP systems within a single hospital, and to explore perceptions of stakeholders about the advantages and disadvantages of multiple systems including any impact on patient safety. METHODS: Hospitals were selected from previous census respondents. A decision matrix was developed to achieve a maximum variation sample, and snowball sampling used to recruit stakeholders of different professional backgrounds. We then used an a priori framework to guide and analyse semi-structured interviews. RESULTS: Ten participants, comprising pharmacists and doctors and a nurse, were interviewed from four hospitals. The findings suggest that use of multiple EP systems was not strategically planned. Three co-existing models of EP systems adoption in hospitals were identified: organisation-led, clinician-led and clinical network-led, which may have contributed to multiple systems use. Although there were some perceived benefits of multiple EP systems, particularly in niche specialities, many disadvantages were described. These included issues related to access, staff training, workflow, work duplication, and system interfacing. Fragmentation of documentation of the patient's journey was a major safety concern. DISCUSSION: The complexity of EP systems' adoption and deficiencies in IT strategic planning may have contributed to multiple EP systems use in the NHS. In the near to mid-term, multiple EP systems may remain in place in many English hospitals, which may create challenges to quality and patient safety.

Review of information technology for surgical patient care.

BACKGROUND: Electronic health records (EHRs), computerized provider order entry (CPOE), and patient portals have experienced increased adoption by health care systems. The objective of this study was to review evidence regarding the impact of such health information technologies (HIT) on surgical practice. MATERIALS AND METHODS: A search of Medline, EMBASE, CINAHL, and the Cochrane Library was performed to identify data-driven, nonsurvey studies about the effects of HIT on surgical care. Domain experts were queried for relevant articles. Two authors independently reviewed abstracts for inclusion criteria and analyzed full text of eligible articles. RESULTS: A total of 2890 citations were identified. Of them, 32 observational studies and two randomized controlled trials met eligibility criteria. EHR or CPOE improved appropriate antibiotic administration for surgical procedures in 13 comparative observational studies. Five comparative observational studies indicated that electronically generated operative notes had increased accuracy, completeness, and availability in the medical record. The Internet as an information resource about surgical procedures was generally inadequate. Surgical patients and providers demonstrated rapid adoption of patient portals, with increasing proportions of online versus inperson outpatient surgical encounters. CONCLUSIONS: The overall quality of evidence about the effects of HIT in surgical practice was low. Current data suggest an improvement in appropriate perioperative antibiotic administration and accuracy of operative reports from CPOE and EHR applications. Online consumer health educational resources and patient portals are popular among patients and families, but their impact has not been studied well in surgical populations. With increasing adoption of HIT, further research is needed to optimize the efficacy of such tools in surgical care.

Graphic representation of clinical symptoms: a tool for improving detection of subtle fractures on foot radiographs.

OBJECTIVE: The purpose of this study was to assess changes in accuracy, degree of confidence, and evaluation time in radiography of subtle foot fractures when the text history is supplemented by a graphic indicating the site of pain. MATERIALS AND METHODS: Radiographs from 226 foot examinations (three views), including 126 examinations showing one subtle fracture (< 1-mm displacement) and 100 examinations with normal findings were selected. In the first interpretation session, only a text history was given for 112 examinations, and both text and a graphic indicating the site of pain for 114 examinations. Six months later, a graphic and text history were provided for the 112 cases interpreted without a graphic in the first session, and only text was provided for the other 114 cases. Seven radiologists evaluated the study sets. Sensitivity, specificity, degree of confidence (1-10 scale), and mean interpretation time in seconds were calculated. RESULTS: Use of a graphic increased overall sensitivity for any subtle fracture from 67% to 73% (p < 0.001), increased degree of confidence from 8.1 without a graphic to 8.4 with a graphic (p < 0.0001), and decreased the time for interpretation by 6%, from 53 seconds without a graphic to 50 seconds with a graphic (p = 0.006). Specificity changed from 93% without a graphic to 94% with a graphic (p = 0.33). Fractures of the third metatarsal were missed most frequently (74%); this percentage improved to 61% with use of a graphic. CONCLUSION: A graphic complements the text history by improving sensitivity, degree of confidence, and time for interpretation.

Clinical decision support: effectiveness in improving quality processes and clinical outcomes and factors that may influence success.

The use of electronic health records has skyrocketed following the 2009 HITECH Act, which provides financial incentives to health care providers for the "meaningful use" of electronic medical record systems. An important component of the "Meaningful Use" legislation is the integration of Clinical Decision Support Systems (CDSS) into the computerized record, providing up-to-date medical knowledge and evidence-based guidance to the physician at the point of care. As reimbursement is increasingly tied to process and clinical outcomes, CDSS will be integral to future medical practice. Studies of CDSS indicate improvement in preventive services, appropriate care, and clinical and cost outcomes with strong evidence for CDSS effectiveness in process measures. Increasing provider adherence to CDSS recommendations is essential in improving CDSS effectiveness, and factors that influence adherence are currently under study.

Impact of computerized provider order entry on pharmacist productivity.

PURPOSE: To examine the impact of computerized provider order entry (CPOE) implementation on average time spent on medication order entry and the number of order actions processed. METHODS: An observational time and motion study was conducted from March 1 to March 17, 2011. Two similar community hospital pharmacies were compared: one without CPOE implementation and the other with CPOE implementation. Pharmacists in the central pharmacy department of both hospitals were observed in blocks of 1 hour, with 24 hours of observation in each facility. Time spent by pharmacists on distributive, administrative, clinical, and miscellaneous activities associated with order entry were recorded using time and motion instrument documentation. Information on medication order actions and order entry/verifications was obtained using the pharmacy network system. RESULTS: The mean ± SD time spent by pharmacists per hour in the CPOE pharmacy was significantly less than the non-CPOE pharmacy for distributive activities (43.37 ± 7.75 vs 48.07 ± 8.61) and significantly greater than the non-CPOE pharmacy for administrative (8.58 ± 5.59 vs 5.72 ± 6.99) and clinical (7.38 ± 4.27 vs 4.22 ± 3.26) activities. The CPOE pharmacy was associated with a significantly higher number of order actions per hour (191.00 ± 82.52 vs 111.63 ± 25.66) and significantly less time spent (in minutes per hour) on order entry and order verification combined (28.30 ± 9.25 vs 36.56 ± 9.14) than the non-CPOE pharmacy. CONCLUSION: The implementation of CPOE facilitated pharmacists to allocate more time to clinical and administrative functions and increased the number of order actions processed per hour, thus enhancing workflow efficiency and productivity of the pharmacy department.

Association of patient photographs and reduced retract-and-reorder events.

Background: Wrong-patient order entry (WPOE) is a potentially dangerous medical error. It remains unknown if patient photographs reduce WPOE in the pediatric inpatient population. Materials and Methods: Order sessions from a single pediatric hospital system were examined for retract-and-reorder (RAR) events, a surrogate WPOE measure. We determined the association of patient photographs with the proportion of order sessions resulting in a RAR event, adjusted for patient, provider, and ordering context. Results: In multivariable analysis, the presence of a patient photo in the electronic health record was associated with 40% lower odds of a RAR event (aOR: 0.60, 95% CI: 0.48-0.75), while cardiac and ICU contexts had higher RAR frequency (aOR: 2.12, 95% CI: 1.69-2.67 and 2.05, 95% CI: 1.71-2.45, respectively). Discussion and Conclusion: Patient photos were associated with lower odds of RAR events in the pediatric inpatient setting, while high acuity locations may be at higher risk. Patient photographs may reduce WPOE without interruptions.

Post-implementation optimization of medication alerts in hospital computerized provider order entry systems: a scoping review.

OBJECTIVES: A scoping review identified interventions for optimizing hospital medication alerts post-implementation, and characterized the methods used, the populations studied, and any effects of optimization. MATERIALS AND METHODS: A structured search was undertaken in the MEDLINE and Embase databases, from inception to August 2023. Articles providing sufficient information to determine whether an intervention was conducted to optimize alerts were included in the analysis. Snowball analysis was conducted to identify additional studies. RESULTS: Sixteen studies were identified. Most were based in the United States and used a wide range of clinical software. Many studies used inpatient cohorts and conducted more than one intervention during the trial period. Alert types studied included drug-drug interactions, drug dosage alerts, and drug allergy alerts. Six types of interventions were identified: alert inactivation, alert severity reclassification, information provision, use of contextual information, threshold adjustment, and encounter suppression. The majority of interventions decreased alert quantity and enhanced alert acceptance. Alert quantity decreased with alert inactivation by 1%-25.3%, and with alert severity reclassification by 1%-16.5% in 6 of 7 studies. Alert severity reclassification increased alert acceptance by 4.2%-50.2% and was associated with a 100% acceptance rate for high-severity alerts when implemented. Clinical errors reported in 4 studies were seen to remain stable or decrease. DISCUSSION: Post-implementation medication optimization interventions have positive effects for clinicians when applied in a variety of settings. Less well reported are the impacts of these interventions on the clinical care of patients, and how endpoints such as alert quantity contribute to changes in clinician and pharmacist perceptions of alert fatigue. CONCLUSION: Well conducted alert optimization can reduce alert fatigue by reducing overall alert quantity, improving clinical acceptance, and enhancing clinical utility.

Design, implementation, and evaluation of a CPOE system in a cancer care setting: A case study on the gastric cancer patients.

BACKGROUND: Chemotherapy is a complex, multi-disciplinary, and error-prone process. Information technology is being increasingly used in different health care settings with complex work procedures such as cancer care to enhance the quality and safety of care. In this study, we aimed to develop a computerized physician order entry (CPOE) for chemotherapy prescribing in patients with gastric cancer and to evaluate the impact of CPOE on medication errors and order problems. MATERIALS AND METHODS: A multi-disciplinary team consisting of a chemotherapy council group and system design and implementation team was formed for chemotherapy process evaluation, requirement analysis, developing computer-based protocols, and implementation of CPOE. A before and after study was conducted to evaluate the impact of CPOE on the chemotherapy process and medication errors and problem orders. To evaluate the level of end-user satisfaction, an ISO Norm 9241/110 usability questionnaire was chosen for the evaluation. RESULTS: Before the implementation of the CPOE system, 37 medication errors (46.25%) and 53 problem orders (66.25%) were recorded for 80 paper-based chemotherapy prescriptions. After implementation of the CPOE system, 7 (8.7%) medication errors and 6 (7.5%) problem orders were recorded for 80 CPOE prescriptions. The implementation of CPOE reduced the medication error by 37.55% and the problematic order by 58.75%. The results for usability evaluation indicate that the CPOE was within the first class of the ISONORM level rating; this shows that a CPOE is with very high satisfaction and a very high functionality rate. CONCLUSION: Developing a CPOE system significantly improved safety and quality of the chemotherapy process in cancer care settings by reducing the medication error, deleting unnecessary steps, improving communication and coordination between providers, and use of updated evidence-based medicine in direct chemotherapy orders. However, the CPOE system does not prevent all medication errors and may cause new errors. These errors can be human-related factors or associated with the design and implementation of the systems.

Examining medication ordering errors using AHRQ network of patient safety databases.

BACKGROUND: Studies examining the effects of computerized order entry (CPOE) on medication ordering errors demonstrate that CPOE does not consistently prevent these errors as intended. We used the Agency for Healthcare Research and Quality (AHRQ) Network of Patient Safety Databases (NPSD) to investigate the frequency and degree of harm of reported events that occurred at the ordering stage, characterized by error type. MATERIALS AND METHODS: This was a retrospective observational study of safety events reported by healthcare systems in participating patient safety organizations from 6/2010 through 12/2020. All medication and other substance ordering errors reported to NPSD via common format v1.2 between 6/2010 through 12/2020 were analyzed. We aggregated and categorized the frequency of reported medication ordering errors by error type, degree of harm, and demographic characteristics. RESULTS: A total of 12 830 errors were reported during the study period. Incorrect dose accounted for 3812 errors (29.7%), followed by incorrect medication 2086 (16.3%), and incorrect duration 765 (6.0%). Of 5282 events that reached the patient and had a known level of severity, 12 resulted in death, 4 resulted in severe harm, 45 resulted in moderate harm, 341 resulted in mild harm, and 4880 resulted in no harm. CONCLUSION: Incorrect dose and incorrect drug orders were the most commonly reported and harmful types of medication ordering errors. Future studies should aim to develop and test interventions focused on CPOE to prevent medication ordering errors, prioritizing wrong-dose and wrong-drug errors.

Automated search methods for identifying wrong patient order entry-a scoping review.

Objective: To investigate: (1) what automated search methods are used to identify wrong-patient order entry (WPOE), (2) what data are being captured and how they are being used, (3) the causes of WPOE, and (4) how providers identify their own errors. Materials and Methods: A systematic scoping review of the empirical literature was performed using the databases CINAHL, Embase, and MEDLINE, covering the period from database inception until 2021. Search terms were related to the use of automated searches for WPOE when using an electronic prescribing system. Data were extracted and thematic analysis was performed to identify patterns or themes within the data. Results: Fifteen papers were included in the review. Several automated search methods were identified, with the retract-and-reorder (RAR) method and the Void Alert Tool (VAT) the most prevalent. Included studies used automated search methods to identify background error rates in isolation, or in the context of an intervention. Risk factors for WPOE were identified, with technological factors and interruptions deemed the biggest risks. Minimal data on how providers identify their own errors were identified. Discussion: RAR is the most widely used method to identify WPOE, with a good positive predictive value (PPV) of 76.2%. However, it will not currently identify other error types. The VAT is nonspecific for WPOE, with a mean PPV of 78%-93.1%, but the voiding reason accuracy varies considerably. Conclusion: Automated search methods are powerful tools to identify WPOE that would otherwise go unnoticed. Further research is required around self-identification of errors.

Evaluation of clinical decision support systems in oncology: An updated systematic review.

With increasing reliance on technology in oncology, the impact of digital clinical decision support (CDS) tools needs to be examined. A systematic review update was conducted and peer-reviewed literature from 2016 to 2022 were included if CDS tools were used for live decision making and comparatively assessed quantitative outcomes. 3369 studies were screened and 19 were included in this updated review. Combined with a previous review of 24 studies, a total of 43 studies were analyzed. Improvements in outcomes were observed in 42 studies, and 34 of these were of statistical significance. Computerized physician order entry and clinical practice guideline systems comprise the greatest number of evaluated CDS tools (13 and 10 respectively), followed by those that utilize patient-reported outcomes (8), clinical pathway systems (8) and prescriber alerts for best-practice advisories (4). Our review indicates that CDS can improve guideline adherence, patient-centered care, and care delivery processes in oncology.

An Evaluation of Drug-Drug Interaction Alerts Produced by Clinical Decision Support Systems in a Tertiary Hospital.

Introduction Drug-drug interactions (DDIs) have the potential to harm patients. Hence, DDI alerts are meant to prevent harm; as a result, their usefulness is reduced when most alerts displayed to providers are ignored. This study aims to explore the rates and reasons for overriding alerts of DDI. Methods This is a retrospective study of DDI alert overrides that occurred between January 2020 and December 2020 within the inpatient medical records at a tertiary hospital, Medina City, Kingdom of Saudi Arabia. Results A total of 7,098 DDI alerts were generated from inpatient settings, of which 6,551(92.2%) were overridden by the physicians at the point of prescribing. "Will Monitor as Recommended" (33%) was the most common reason for the override, followed by 'Will Adjust the Dose as Recommended (27.1%)," "The Patient Has Already Tolerated the Combination" (25.7%), and "No Overridden Reason Selected" (13.0%). Discussion The DDI alert overriding is still high and is comparable to other studies. However, this study reveals that physicians are ready to deal with the consequences of around 58% of DDI alerts. Additionally, 13% of physicians were not willing to report the reason for overriding. This indicates an urgent need to review and restructure the DDI alert system. Conclusion The DDI alert override rates are high, and this is undesirable. It is recommended to revise the DDI alert system. Future studies should dig deep for real reasons for overriding and seek inputs from all stakeholders, including developing actionable metrics to track and monitor DDI alerting system.

Understanding how physician perceptions of job demand and process benefits evolve during CPOE implementation.

We examine how physicians' perceptions of two computerized provider order entry (CPOE) capabilities, standardisation of care protocols and documentation quality, are associated with their perceptions of turnaround time, medical error, and job demand at three phases of CPOE implementation: pre-go-live, initial use, and continued use. Through a longitudinal study at a large urban hospital, we find standardisation of care protocols is positively associated with turnaround time reduction in all phases but positively associated with job demand increase only in the initial use phase. Standardisation also has a positive association with medical error reduction in the initial use phase, but later this effect becomes fully mediated through turnaround time reduction in the continued use phase. Documentation quality has a positive association with medical error reduction in the initial use phase and this association strengthens in the continued use phase. Our findings provide insights to effectively manage physicians' response to CPOE implementation.