Monitoring for adverse drug events of high-risk medications with a computerized clinical decision support system: a prospective cohort study.

Monitoring is recommended to prevent severe adverse drug events, but such examinations are often missed. To increase the number of monitoring that should be ordered for high-risk medications, we introduced a clinical decision support system (CDSS) that alerts and orders the monitoring for high-risk medications in an outpatient setting. We conducted a 2-year prospective cohort study at a tertiary care teaching hospital before (phase 1) and after (phase 2) the activation of a CDSS. The CDSS automatically provided alerts for liver function tests for vildagliptin, thyroid function tests for immune checkpoint inhibitors (ICIs) and multikinase inhibitors (MKIs), and a slit-lamp examination of the eyes for oral amiodarone when outpatients were prescribed the medications but not examined for a fixed period. The order of laboratory tests automatically appeared if alert was accepted. The alerts were hidden and did not appear on the display before activation of the CDSS. The outcomes were the number of prescriptions with alerts and examinations. During the study period, 330 patients in phase 1 and 307 patients in phase 2 were prescribed vildagliptin, 20 patients in phase 1 and 19 patients in phase 2 were prescribed ICIs or MKIs, and 72 patients in phase 1 and 66 patients in phase 2 were prescribed oral amiodarone. The baseline characteristics were similar between the phases. In patients prescribed vildagliptin, the proportion of alerts decreased significantly (38% vs 27%, P < 0.0001), and the proportion of examinations increased significantly (0.9% vs 4.0%, P < 0.0001) after activation of the CDSS. In patients prescribed ICIs or MKIs, the proportion of alerts decreased significantly (43% vs 11%, P < 0.0001), and the proportion of examinations increased numerically, but not significantly (2.6% vs 7.0%, P = 0.13). In patients prescribed oral amiodarone, the proportion of alerts decreased (86% vs 81%, P = 0.055), and the proportion of examinations increased (2.2% and 3.0%, P = 0.47); neither was significant. The CDSS has potential to increase the monitoring for high-risk medications. Our study also highlighted the limited acceptance rate of monitoring by CDSS. Further studies are needed to explore the generalizability to other medications and the cause of the limited acceptance rates among physicians.

The Frequency and Cost of Redundant Biochemistry Test in Tertiary Teaching Hospital

@#Introduction: Laboratory tests account for 66% of clinical decision making and reducing inappropriate test utilisation is a step towards optimising patients’ care and hospital cost savings. This study aims to identify the rate and cost of redundant test requests in our centre. Methods: A cross-sectional study comprising laboratory results of 14 analytes in renal function test (RFT) and liver function test (LFT) were made. Data involved blood results from adult patients admitted to Hospital Universiti Sains Malaysia from January to December 2018. The redundant test is defined as test results consecutively normal twice and requested within 26 hours for analytes in RFT and 50 hours for analytes in LFT. Cost contributions were estimated by multiplying cost-per-test with total redundant requests. The test redundancy in different wards and disease groups were also evaluated. Results: Equal distribution of RFT and LFT requests were observed in both genders (50% respectively), with the most requests seen in the 60 – 79 years age group. More than 20% redundancy rate was observed for seven analytes (ALT, total bilirubin, sodium, urea, potassium, AST, Chloride), and overall redundancy was 19.7%, equals to Malaysian Ringgit (MYR) 669,105.00. Oncology wards and genitourinary diseases contribute to the highest redundancy rate. Conclusion: This study estimated MYR 600 thousands of saving if test redundancy were to be eliminated. The finding is hoped to serve as a platform for future intervention and policymaking. Future planning to optimise the current laboratory request system and collaboration among physicians and laboratory professionals can minimise test inappropriateness.

Towards The Automated, Empirical Filtering of Drug-Drug Interaction Alerts in Clinical Decision Support Systems: Historical Cohort Study of Vitamin K Antagonists.

BACKGROUND: Drug-drug interactions (DDIs) involving vitamin K antagonists (VKAs) constitute an important cause of in-hospital morbidity and mortality. However, the list of potential DDIs is long; the implementation of all these interactions in a clinical decision support system (CDSS) results in over-alerting and alert fatigue, limiting the benefits provided by the CDSS. OBJECTIVE: To estimate the probability of occurrence of international normalized ratio (INR) changes for each DDI rule, via the reuse of electronic health records. METHODS: An 8-year, exhaustive, population-based, historical cohort study including a French community hospital, a group of Danish community hospitals, and a Bulgarian hospital. The study database included 156,893 stays. After filtering against two criteria (at least one VKA administration and at least one INR laboratory result), the final analysis covered 4047 stays. Exposure to any of the 145 drugs known to interact with VKA was tracked and analyzed if at least 3 patients were concerned. The main outcomes are VKA potentiation (defined as an INR≥5) and VKA inhibition (defined as an INR≤1.5). Groups were compared using the Fisher exact test and logistic regression, and the results were expressed as an odds ratio (95% confidence limits). RESULTS: The drugs known to interact with VKAs either did not have a statistically significant association regarding the outcome (47 drug administrations and 14 discontinuations) or were associated with significant reduction in risk of its occurrence (odds ratio<1 for 18 administrations and 21 discontinuations). CONCLUSIONS: The probabilities of outcomes obtained were not those expected on the basis of our current body of pharmacological knowledge. The results do not cast doubt on our current pharmacological knowledge per se but do challenge the commonly accepted idea whereby this knowledge alone should be used to define when a DDI alert should be displayed. Real-life probabilities should also be considered during the filtration of DDI alerts by CDSSs, as proposed in SPC-CDSS (statistically prioritized and contextualized CDSS). However, these probabilities may differ from one hospital to another and so should probably be calculated locally.

Determinant of successful implementation of Computerized Provider Order Entry (CPOE) system from physicians' perspective: Feasibility study prior to implementation.

BACKGROUND: Health information technology is a solution for medical error reduction through the implementation of Computerized Provider Order Entry (CPOE). OBJECTIVE: The aim of this study was to determine physicians' attitudes toward the implementation of CPOE. METHODS: This cross-sectional study was started in March 2017 and completed in June 2017. The study used a questionnaire to collect data from physicians in hospitals affiliated to Urmia University of Medical Sciences. We invited 200 physicians who were not using a CPOE system. Questionnaires were randomly distributed among physicians. In order to understand the physicians' attitude about implementation the CPOE system, we used the Diffusion of Innovation Theory, developed by E.M. Rogers. Data were analyzed by SPSS version 16.0, using descriptive statistics and one-way ANOVA. A p value <0.05 was considered to be statistically significant. RESULTS: Most of the physicians were women (n=54, 60%) and the average age of the physicians was 36.39±8.42 years. About three-quarters of the physicians (76.66%) reported that they found the CPOE system adapted to their specific professional practice. The relative advantage of the CPOE system was estimated to be 42.22% for physicians and the complexity of that was 13.33%. There was no significant relationship between Compatibility, Relative advantages and Complexity with physicians' experience in HIS use and physicians' degree of education (p>0.05). CONCLUSION: Since the role of CPOE systems is very important in hospitals in order to reduce medication errors and to improve the quality of care, our results can be used to assist the planning and introduction of CPOE systems.

Automated identification of antibiotic overdoses and adverse drug events via analysis of prescribing alerts and medication administration records.

OBJECTIVES: Electronic trigger detection tools hold promise to reduce Adverse drug event (ADEs) through efficiencies of scale and real-time reporting. We hypothesized that such a tool could automatically detect medication dosing errors as well as manage and evaluate dosing rule modifications. MATERIALS AND METHODS: We created an order and alert analysis system that identified antibiotic medication orders and evaluated user response to dosing alerts. Orders associated with overridden alerts were examined for evidence of administration and the delivered dose was compared to pharmacy-derived dosing rules to confirm true overdoses. True overdose cases were reviewed for association with known ADEs. RESULTS: Of 55 546 orders reviewed, 539 were true overdose orders, which lead to 1965 known overdose administrations. Documentation of loose stools and diarrhea was significantly increased following drug administration in the overdose group. Dosing rule thresholds were altered to reflect clinically accurate dosing. These rule changes decreased overall alert burden and improved the salience of alerts. DISCUSSION: Electronic algorithm-based detection systems can identify antibiotic overdoses that are clinically relevant and are associated with known ADEs. The system also serves as a platform for evaluating the effects of modifying electronic dosing rules. These modifications lead to decreased alert burden and improvements in response to decision support alerts. CONCLUSION: The success of this test case suggests that gains are possible in reducing medication errors and improving patient safety with automated algorithm-based detection systems. Follow-up studies will determine if the positive effects of the system persist and if these changes lead to improved safety outcomes.

Tools in a clinical information system supporting clinical trials at a Swiss University Hospital.

BACKGROUND: Issues concerning inadequate source data of clinical trials rank second in the most common findings by regulatory authorities. The increasing use of electronic clinical information systems by healthcare providers offers an opportunity to facilitate and improve the conduct of clinical trials and the source documentation. We report on a number of tools implemented into the clinical information system of a university hospital to support clinical research. METHODS: In 2011/2012, a set of tools was developed in the clinical information system of the University Hospital Zurich to support clinical research, including (1) a trial registry for documenting metadata on the clinical trials conducted at the hospital, (2) a patient-trial-assignment-tool to tag patients in the electronic medical charts as participants of specific trials, (3) medical record templates for the documentation of study visits and trial-related procedures, (4) online queries on trials and trial participants, (5) access to the electronic medical records for clinical monitors, (6) an alerting tool to notify of hospital admissions of trial participants, (7) queries to identify potentially eligible patients in the planning phase as trial feasibility checks and during the trial as recruitment support, and (8) order sets to facilitate the complete and accurate performance of study visit procedures. RESULTS: The number of approximately 100 new registrations per year in the voluntary trial registry in the clinical information system now matches the numbers of the existing mandatory trial registry of the hospital. Likewise, the yearly numbers of patients tagged as trial participants as well as the use of the standardized trial record templates increased to 2408 documented trial enrolments and 190 reports generated/month in the year 2013. Accounts for 32 clinical monitors have been established in the first 2 years monitoring a total of 49 trials in 16 clinical departments. A total of 15 months after adding the optional feature of hospital admission alerts of trial participants, 107 running trials have activated this option, including 48 out of 97 studies (49.5%) registered in the year 2013, generating approximately 85 alerts per month. CONCLUSIONS: The popularity of the presented tools in the clinical information system illustrates their potential to facilitate the conduct of clinical trials. The tools also allow for enhanced transparency on trials conducted at the hospital. Future studies on monitoring and inspection findings will have to evaluate their impact on quality and safety.

Analysis of electronic medication orders with large overdoses: opportunities for mitigating dosing errors.

BACKGROUND: Users of electronic health record (EHR) systems frequently prescribe doses outside recommended dose ranges, and tend to ignore the alerts that result. Since some of these dosing errors are the result of system design flaws, analysis of large overdoses can lead to the discovery of needed system changes. OBJECTIVES: To develop database techniques for detecting and extracting large overdose orders from our EHR. To identify and characterize users' responses to these large overdoses. To identify possible causes of large-overdose errors and to mitigate them. METHODS: We constructed a data mart of medication-order and dosing-alert data from a quaternary pediatric hospital from June 2011 to May 2013. The data mart was used along with a test version of the EHR to explain how orders were processed and alerts were generated for large (>500%) and extreme (>10,000%) overdoses. User response was characterized by the dosing alert salience rate, which expresses the proportion of time users take corrective action. RESULTS: We constructed an advanced analytic framework based on workflow analysis and order simulation, and evaluated all 5,402,504 medication orders placed within the 2 year timeframe as well as 2,232,492 dose alerts associated with some of the orders. 8% of orders generated a visible alert, with » of these related to overdosing. Alerts presented to trainees had higher salience rates than those presented to senior colleagues. Salience rates were low, varying between 4-10%, and were lower with larger overdoses. Extreme overdoses fell into eight causal categories, each with a system design mitigation. CONCLUSIONS: Novel analytic systems are required to accurately understand prescriber behavior and interactions with medication-dosing CDS. We described a novel analytic system that can detect apparent large overdoses (≥500%) and explain the sociotechnical factors that drove the error. Some of these large overdoses can be mitigated by system changes. EHR design should prospectively mitigate these errors.

A equipe da UTI está satisfeita com o prontuário eletrônico do paciente? Um estudo transversal / Is the ICU staff satisfied with the computerized physician order entry? A cross-sectional survey study

Objetivo: Avaliar a satisfação da equipe da unidade de terapia intensiva com o prontuário eletrônico do paciente e comparar a relevância do conceito de registro eletrônico de ordens médicas entre os profissionais de saúde da unidade de terapia intensiva. Métodos: Estudo transversal de levantamento para avaliar a satisfação da equipe da unidade de terapia intensiva com o prontuário eletrônico do paciente em uma unidade de terapia intensiva clínica e cirúrgica para pacientes adultos com 30 leitos, utilizando um questionário de autopreenchimento. As questões utilizadas para graduar os níveis de satisfação foram respondidas segundo uma escala numérica, que variava de 1 (baixo grau de satisfação) a 10 pontos (elevado grau de satisfação). Resultados: As pessoas que responderam ao questionário (n=250) eram, em sua maioria, do gênero feminino (66%) com idades entre 30 e 35 anos (69%). O grau geral de satisfação com o prontuário eletrônico do paciente foi de 5,74±2,14 pontos. O grau de satisfação foi mais baixo entre os médicos (n=42) do que entre enfermeiros, técnicos de enfermagem, terapeutas respiratórios, farmacêuticos clínicos e nutricionistas (4,62±1,79 em comparação com 5,97±2,14; p<0,001); o grau de satisfação decresceu com a idade (p<0,001). Os médicos tiveram níveis mais baixos de satisfação com relação ao potencial do sistema de registro eletrônico de ordens médicas de melhorar a segurança do paciente (5,45±2,20 em comparação com 8,09±2,21; p<0,001) e facilidade de uso do sistema de registro eletrônico de ordens médicas (3,83±1,88 em comparação com 6,44±2,31; p<0,001). As características com ...

Objective: To evaluate the satisfaction of the intensive care unit staff with a computerized physician order entry and to compare the concept of the computerized physician order entry relevance among intensive care unit healthcare workers. Methods: We performed a cross-sectional survey to assess the satisfaction of the intensive care unit staff with the computerized physician order entry in a 30-bed medical/surgical adult intensive care unit using a self-administered questionnaire. The questions used for grading satisfaction levels were answered according to a numerical scale that ranged from 1 point (low satisfaction) to 10 points (high satisfaction). Results: The majority of the respondents (n=250) were female (66%) between the ages of 30 and 35 years of age (69%). The overall satisfaction with the computerized physician order entry scored 5.74±2.14 points. The satisfaction was lower among physicians (n=42) than among nurses, nurse technicians, respiratory therapists, clinical pharmacists and diet specialists (4.62±1.79 versus 5.97±2.14, p<0.001); satisfaction decreased with age (p<0.001). Physicians scored lower concerning the potential of the computerized physician order entry for improving patient safety (5.45±2.20 versus 8.09±2.21, p<0.001) and the ease of using the computerized physician order entry (3.83±1.88 versus 6.44±2.31, p<0.001). The characteristics independently associated with satisfaction were the system's user-friendliness, accuracy, capacity to provide clear information, and fast response time. Conclusion: Six months after its implementation, healthcare workers were satisfied, albeit not entirely, with the computerized physician order entry. The overall users' satisfaction with computerized physician order entry was lower among physicians compared to other healthcare professionals. The factors associated with satisfaction included the belief that digitalization ...

Evaluating the accuracy of electronic pediatric drug dosing rules.

OBJECTIVE: To determine the accuracy of vendor-supplied dosing eRules for pediatric medication orders. Inaccurate or absent dosing rules can lead to high numbers of false alerts or undetected prescribing errors and may potentially compromise safety in this already vulnerable population. MATERIALS AND METHODS: 7 months of medication orders and alerts from a large pediatric hospital were analyzed. 30 medications were selected for study across 5 age ranges and 5 dosing parameters. The resulting 750 dosing rules from a commercial system formed the study corpus and were examined for accuracy against a gold standard created from traditional clinical resources. RESULTS: Overall accuracy of the rules in the study corpus was 55.1% when the rules were transformed to fit a priori age ranges. Over a pediatric lifetime, the dosing rules were accurate an average of 57.6% of the days. Dosing rules pertaining to the newborn age range were as accurate as other age ranges on average, but exhibited more variability. Daily frequency dosing parameters showed more accuracy than total daily dose, single dose minimum, or single dose maximum. DISCUSSION: The accuracy of a vendor-supplied set of dosing eRules is suboptimal when compared with traditional dosing sources, exposing a gap between dosing rules in commercial products and actual prescribing practices by pediatric care providers. More research on vendor-supplied eRules is warranted in order to understand the effects of these products on safe prescribing in children.

Conversion of a single-facility pediatric antimicrobial stewardship program to multi-facility application with computerized provider order entry and clinical decision support.

OBJECTIVE: Antimicrobial stewardship programs (ASPs) help meet quality and safety goals with regard to antimicrobial use. Prior to CPOE implementation, the ASP at our pediatric tertiary hospital developed a paper-based order set containing recommendations for optimization of dosing. In adapting our ASP for CPOE, we aimed to preserve consistency in our ASP recommendations and expand ASP expertise to other hospitals in our health system. METHODS: Nine hospitals in our health system adopted pediatric CPOE and share a common domain (Cerner Millenium). ASP clinicians developed sixty individual electronic order sets (vendor reference PowerPlans) to be used independently or as part of larger electronic order sets. Analysis of incidents reported during CPOE implementation and medication variances reports was used to determine the effectiveness of the ASP adaptation. RESULTS: 769 unique PowerPlans were used 15,889 times in the first 30 days after CPOE implementation. Of these, 43 were PowerPlans included in the ASP design and were used a total of 1149 times (7.2% of all orders). During CPOE implementation, 437 incidents were documented, 1.1% of which were associated with ASP content or workflow. Additionally, analysis of medication variance following CPOE implementation showed that ASP errors accounted for 2.9% of total medication variances. DISCUSSION: ASP content and workflow accounted for proportionally fewer incidents than expected as compared to equally complex and frequently used CPOE content. CONCLUSION: Well-defined ASP recommendations and modular design strengthened successful CPOE implementation, as well as the adoption of specialized pediatric ASP expertise with other facilities.

Implementation of Consolidated HIS: Improving Quality and Efficiency of Healthcare / 대한의료정보학회지

OBJECTIVES: Adoption of hospital information systems offers distinctive advantages in healthcare delivery. First, implementation of consolidated hospital information system in Seoul National University Hospital led to significant improvements in quality of healthcare and efficiency of hospital management. METHODS: The hospital information system in Seoul National University Hospital consists of component applications: clinical information systems, clinical research support systems, administrative information systems, management information systems, education support systems, and referral systems that operate to generate utmost performance when delivering healthcare services. RESULTS: Clinical information systems, which consist of such applications as electronic medical records, picture archiving and communication systems, primarily support clinical activities. Clinical research support system provides valuable resources supporting various aspects of clinical activities, ranging from management of clinical laboratory tests to establishing care-giving procedures. CONCLUSIONS: Seoul National University Hospital strives to move its hospital information system to a whole new level, which enables customized healthcare service and fulfills individual requirements. The current information strategy is being formulated as an initial step of development, promoting the establishment of next-generation hospital information system.

Implementation of Consolidated HIS: Improving Quality and Efficiency of Healthcare.

OBJECTIVES: Adoption of hospital information systems offers distinctive advantages in healthcare delivery. First, implementation of consolidated hospital information system in Seoul National University Hospital led to significant improvements in quality of healthcare and efficiency of hospital management. METHODS: THE HOSPITAL INFORMATION SYSTEM IN SEOUL NATIONAL UNIVERSITY HOSPITAL CONSISTS OF COMPONENT APPLICATIONS: clinical information systems, clinical research support systems, administrative information systems, management information systems, education support systems, and referral systems that operate to generate utmost performance when delivering healthcare services. RESULTS: Clinical information systems, which consist of such applications as electronic medical records, picture archiving and communication systems, primarily support clinical activities. Clinical research support system provides valuable resources supporting various aspects of clinical activities, ranging from management of clinical laboratory tests to establishing care-giving procedures. CONCLUSIONS: Seoul National University Hospital strives to move its hospital information system to a whole new level, which enables customized healthcare service and fulfills individual requirements. The current information strategy is being formulated as an initial step of development, promoting the establishment of next-generation hospital information system.