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Adding insight: a qualitative cross-site study of physician order entry.

The research questions, strategies, and results of a six-year qualitative study of computerized physician order entry implementation (CPOE) at successful sites are reviewed over time. The iterative nature of qualitative inquiry stimulates a consecutive stream of research foci which, with each iteration, add further insight into the overarching research question. A multidisciplinary team of researchers studied CPOE implementation in four organizations using a multi-method approach to address the question "what are the success factors for implementing CPOE?" Four major themes emerged after studying three sites; ten themes resulted from blending the first results with those from a fourth site; and twelve principles were generated when results of a qualitative analysis of consensus conference transcripts were combined with the field data. The study has produced detailed descriptions of factors related to CPOE success and insight into the implementation process.

Data Collection↗

The effect of computerized physician order entry on medication errors and adverse drug events in pediatric inpatients.

OBJECTIVE: Computerized physician order entry (CPOE) has the potential to reduce patient injury resulting from medication errors. We assessed the impact of a CPOE system on medication errors and adverse drug events (ADEs) in pediatric inpatients. DESIGN: A retrospective cohort study. SETTING: Tertiary care pediatric hospital. PARTICIPANTS: Pediatric inpatients on 3 medical and 2 surgical wards. INTERVENTION: CPOE system implemented on 2 medical wards and compared with 1 medical and 2 surgical wards that continued to use hand written orders. OUTCOME MEASURES: Rate of medication error and ADEs before and after CPOE implementation. RESULTS: In 6 years, a total of 804 medication errors were identified with 18 ADEs, resulting in patient injury among 36 103 discharges and 179 183 patient days. The overall medication error rate (MER) was 4.49 per 1000 patient days. Before the introduction of CPOE, the MERs of the intervention versus control wards were indistinguishable (ratio = 0.93; 95% confidence interval [CI] = 0.76, 1.13). After the introduction of CPOE, the MER was 40% lower on the intervention than on the control wards (ratio = 0.60; 95% CI = 0.48, 0.74). On average, 490 patient days are required to see the benefit of one less medication error using CPOE. We did not demonstrate a similar effect of CPOE for ADEs (ratio of rate ratios = 1.30; 95% CI 0.47, 3.52). CONCLUSIONS: The introduction of a commercially available physician computer order entry system was associated with a significant decrease in the rate of medication errors but not ADEs in an inpatient pediatric population.

Child↗

Effective drug-allergy checking: methodological and operational issues.

Adverse drug events cause a large number of injuries, and adverse events caused by medications administered in the face of known allergies represent an important preventable cause of patient harm. Computerized systems can effectively prevent reactions due to known allergies, but building an effective allergy prevention feature is challenging and presents many interesting informatics issues that have both methodological and operational implications. In this paper, we present the experiences from one large delivery system in delivering allergy-related decision support, discuss some of the different approaches that we have used, and then propose a future approach. We also discuss the methodological, behavioral, and operational issues that have arisen which have a major impact on success. Key factors in drug-allergy checking include storing patient allergy data in a single common repository, representing allergy data using suitable terminologies and creating groups of allergies for inferencing purposes, being judicious about which allergy warnings to display, conveying the reaction that the patient has experienced when exposed to the drug to inform the provider of the importance of the warning, and perhaps most important, implementing strategies to optimize the likelihood that allergy information will be entered.

Database Management Systems↗

Medical students' and housestaff's opinions of computerized order-writing.

BACKGROUND: Greater use of computers has been touted as one way in which health care quality can be enhanced while reducing costs. The authors assessed factors associated with acceptance of computerized order-writing. METHOD: From April 1990 through October 1991 a survey was administered to 275 medical students and housestaff who used computer workstations to write all their orders on the general medicine wards at Wishard Memorial Hospital. The survey assessed computer literacy, ease of workstation use, effects on practice and time management, and usefulness of information provided. RESULTS: A total of 212 (77%) of the computer-workstation users responded. Opinions were generally positive. Those of junior students were the most positive, with opinions declining progressively for senior students, interns, and residents. The housestaff were most critical of time spent using the workstations, although they required less time to write orders than the students did. CONCLUSION: The favorableness of the respondents' opinions declined as the level of training increased, a trend that was independent of computer literacy. Hence, increasing computer use by physicians will probably require modification of the educational and socialization process rather than mere reliance on increasing computer literacy.

Analysis of Variance↗

Bridging the gap: the Virtual Chemotherapy Unit.

Due to the complexity of pediatric chemotherapy administration, systems promoting safety must be utilized. Computerized order entry has been proven to reduce errors in the ordering of chemotherapeutic agents. A task force (the Breakthrough Committee) at The Children's Hospital of Philadelphia (CHOP) evaluated systems and identified the need to streamline the chemotherapy admission process from the outpatient clinic to the inpatient unit. In the outpatient setting chemotherapy orders were handwritten, whereas inpatient orders were computerized. Patients due for chemotherapy admissions were unable to start chemotherapy until they were physically admitted to an inpatient bed. In many cases, patients would not start receiving chemotherapy until late in the evening or even overnight. The Breakthrough Committee created the Virtual Chemotherapy Unit (Virtual Unit), which standardizes the ordering and documentation for all chemotherapy admissions. As per its name, the Virtual Unit is not an actual hospital unit but merely a location in the computer system where the patient is admitted prior to having a bed on the inpatient unit. Patients are now able to start chemotherapy infusions in the outpatient setting early in the day, rather than waiting until arrival to the inpatient unit. The nurses in the outpatient clinic are able to document chemotherapy administration online, giving the inpatient staff the ability to view the medications that were given. The Virtual Unit bridges the gap in chemotherapy ordering and documentation by utilizing 1 online episode per patient admission. Oncology nurses at CHOP played a fundamental role in the creation of the Virtual Unit. Nurses identified situations with potential for error in the ordering and administration of chemotherapy. These scenarios were analyzed and used in creating a safer system.

Antineoplastic Agents↗

A cognitive task analysis of information management strategies in a computerized provider order entry environment.

OBJECTIVE: Computerized Provider Order Entry (CPOE) with electronic documentation, and computerized decision support dramatically changes the information environment of the practicing clinician. Prior work patterns based on paper, verbal exchange, and manual methods are replaced with automated, computerized, and potentially less flexible systems. The objective of this study is to explore the information management strategies that clinicians use in the process of adapting to a CPOE system using cognitive task analysis techniques. DESIGN: Observation and semi-structured interviews were conducted with 88 primary-care clinicians at 10 Veterans Administration Medical Centers. MEASUREMENTS: Interviews were taped, transcribed, and extensively analyzed to identify key information management goals, strategies, and tasks. Tasks were aggregated into groups, common components across tasks were clarified, and underlying goals and strategies identified. RESULTS: Nearly half of the identified tasks were not fully supported by the available technology. Six core components of tasks were identified. Four meta-cognitive information management goals emerged: 1) Relevance Screening; 2) Ensuring Accuracy; 3) Minimizing memory load; and 4) Negotiating Responsibility. Strategies used to support these goals are presented. CONCLUSION: Users develop a wide array of information management strategies that allow them to successfully adapt to new technology. Supporting the ability of users to develop adaptive strategies to support meta-cognitive goals is a key component of a successful system.

Cognition↗

Improving recognition of drug interactions: benefits and barriers to using automated drug alerts.

BACKGROUND: Clinicians' perceptions about decision support systems may impact the effectiveness of these technologies. OBJECTIVE: To explore clinicians' baseline knowledge of common drug interactions and experiences with automated drug alerts within a provider order entry system as a means to better understand the potential benefits and barriers to using this technology. RESEARCH DESIGN: Cross-sectional survey. SUBJECTS: The study population comprised 263 clinicians practicing within a Southern California Veterans Affairs health care system that used VA's Computerized Patient Record System (CPRS). Response rate was 64%. MEASURES: A 67-item survey (19 questions) was developed to elicit information including: (1) computer use for patient-related activities; (2) recognition of drug interactions; and (3) benefits and barriers to using automated drug alerts. RESULTS: Clinicians correctly categorized 44% (range 11-64%) of all drug-drug pairs, 53% of interacting combinations, and 54% of contraindicated pairs. Providers also correctly categorized 55% (range 24-87%) of 11 drug-disease pairs and 62% of interacting combinations, and 53% of contraindicated pairs. Nearly 90% of clinicians thought drug alerts would be helpful to identify interactions yet 55% of clinicians perceived that the most significant barrier to utilizing existing alerts was poor signal to noise ratio, meaning too many nonrelevant warnings. CONCLUSIONS: Automated drug interaction alerts have the potential to dramatically increase clinicians' recognition of selected drug interactions. However, perceived poor specificity of drug alerts may be an important obstacle to efficient utilization of information and may impede the ability of such alerts to improve patient safety.

Attitude of Health Personnel↗

Patient safety and computerized medication ordering at Brigham and Women's Hospital.

BACKGROUND: Medications are important therapeutic tools in health care, yet creating safe medication processes is challenging for many reasons. Computerized physician order entry (CPOE), one important way that technology can be used to improve the medication process, has been in place at Brigham and Women's Hospital (BWH; Boston) since 1993. CPOE AT BWH: The CPOE application, designed and developed internally by the BWH information systems team, allows physicians and other clinicians to enter all patient orders into the computer. Physicians enter 85% of orders, with the remainder entered electronically by other clinicians. CPOE AND SAFE MEDICATION USE: The CPOE application at BWH includes several features designed to improve medication safety--structural features (for example, required fields, use of pick lists), enhanced workflow features (order sets, standard scales for insulin and potassium), alerts and reminders (drug-drug and drug-allergy interaction checking), and adjunct features (the pharmacy system, access to online reference information). RESULTS AT BWH: Studies of the impact of CPOE on physician decision making and patient safety at BWH include assessment of CPOE's impact on the serious medication error and the preventable adverse drug event rate, the impact of computer guidelines on the use of vancomycin, the impact of guidelines on the use of heparin in patients at bed rest, and the impact of dosing suggestions on excessive dosing. CONCLUSION: CPOE and several forms of clinical decision support targeted at increasing patient safety have substantially decreased the frequency of serious medication errors and have had an even bigger impact on the overall medication error rate.

Clinical Pharmacy Information Systems↗

Drug use inefficiency: a hidden source of wasted health care dollars.

UNLABELLED: A potential area for departmental savings is to minimize inefficient use of pharmaceuticals. We recorded drug waste data for multiple drugs for a fiscal year and surveyed providers' knowledge of departmental drug waste. Six large-cost or large-volume use drugs were chosen for study: thiopental, succinylcholine, rocuronium, atracurium, midazolam, and propofol. Amounts administered to patients were collected for one year by using a computerized anesthesia record keeper. Total drug distributed was the number of vials restocked by pharmacy for the year. An efficiency index, the percent administered to patients, was calculated for each drug. Drug administration to 25,481 patients was analyzed. Drug use efficiency indices were: atracurium 29%; thiopental, 31%; succinylcholine, 33%; propofol, 49%; midazolam, 53%; rocuronium, 61%. The total cost of unadministered study drugs was $165,667, 26% of the expenditure for all drugs. Most dollars wasted were for propofol, $80,863, and thiopental, $32,839. The reason most cited for drug waste was the disposal of full, or partially full, syringes. Drug wastage represents a significant portion of the entire anesthesia drug budget. Waste reduction strategies should allow a portion of the "avoidable" waste to be reduced. IMPLICATIONS: Unadministered drug amounts were measured for six study drugs over one fiscal year and found to be significant; the cost of unadministered drugs totaled $165,667. The reason most cited for waste was disposal of full, or partially full, syringes.

Androstanols↗

Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review.

BACKGROUND: Iatrogenic injuries related to medications are common, costly, and clinically significant. Computerized physician order entry (CPOE) and clinical decision support systems (CDSSs) may reduce medication error rates. METHODS: We identified trials that evaluated the effects of CPOE and CDSSs on medication safety by electronically searching MEDLINE and the Cochrane Library and by manually searching the bibliographies of retrieved articles. Studies were included for systematic review if the design was a randomized controlled trial, a nonrandomized controlled trial, or an observational study with controls and if the measured outcomes were clinical (eg, adverse drug events) or surrogate (eg, medication errors) markers. Two reviewers extracted all the data. Discussion resolved any disagreements. RESULTS: Five trials assessing CPOE and 7 assessing isolated CDSSs met the criteria. Of the CPOE studies, 2 demonstrated a marked decrease in the serious medication error rate, 1 an improvement in corollary orders, 1 an improvement in 5 prescribing behaviors, and 1 an improvement in nephrotoxic drug dose and frequency. Of the 7 studies evaluating isolated CDSSs, 3 demonstrated statistically significant improvements in antibiotic-associated medication errors or adverse drug events and 1 an improvement in theophylline-associated medication errors. The remaining 3 studies had nonsignificant results. CONCLUSIONS: Use of CPOE and isolated CDSSs can substantially reduce medication error rates, but most studies have not been powered to detect differences in adverse drug events and have evaluated a small number of "homegrown" systems. Research is needed to evaluate commercial systems, to compare the various applications, to identify key components of applications, and to identify factors related to successful implementation of these systems.

Cost-Benefit Analysis↗

A trial of automated decision support alerts for contraindicated medications using computerized physician order entry.

BACKGROUND: Automated clinical decision support has shown promise in reducing medication errors; however, clinicians often do not comply with alerts. Because renal insufficiency is a common source of medication errors, the authors studied a trial of alerts designed to reduce inpatient administration of medications contraindicated due to renal insufficiency. METHODS: A minimum safe creatinine clearance was established for each inpatient formulary medication. Alerts recommending cancellation appeared when a medication order was initiated for a patient whose estimated creatinine clearance was less than the minimum safe creatinine clearance for the medication. Administration of medications in patients with creatinine clearances less than the medication's minimum safe clearance were studied for 14 months after, and four months before, alert implementation. In addition, the impact of patient age, gender, degree of renal dysfunction, time of day, and duration of housestaff training on the likelihood of housestaff compliance with the alerts was examined. RESULTS: The likelihood of a patient receiving at least one dose of contraindicated drug after the order was initiated decreased from 89% to 47% (p < 0.0001) after alert implementation. Analysis of the alerts seen by housestaff showed that alert compliance was higher in male patients (57% vs. 38%, p = 0.02), increased with the duration of housestaff training (p = 0.04), and increased in patients with worsening renal function (p = 0.007). CONCLUSION: Alerts were effective in decreasing the ordering and administration of drugs contraindicated due to renal insufficiency. Compliance with the alerts was higher in male patients, increased with the duration of housestaff training, and increased in patients with more severe renal dysfunction.

Contraindications↗

Implementation of a computerized physician order entry system of medications at the University Health Network--physicians' perspectives on the critical issues.

There are many reasons why most hospitals have not adopted physician order entry systems for medications. It is a costly endeavour (Kuperman and Gibson 2003) that can cause major disruptions to workflow for physicians, pharmacists and nurses. Yet, the technology can reduce medication errors, especially with sophisticated decision support. We have presented many of the lessons learned from our successful implementation experience. To date, over 90% of medication orders are entered by physicians. The technology must be ready for the implementation. System issues such as errors, slowness and freezing give ready opportunity for critics who will claim the system is just not ready for real-time. Through rigorous testing, we were able to avoid issues previously seen in our pilot study. Usability testing with end-users was also critical in both guiding decision-making as well as validating that the system was ready for implementation. Proper training and support were also necessary. To ensure ready adoption, decision support was optimized to reduce the volume of less important alerts. Most importantly, we found that active physician involvement at multiple levels was key. This ensured that physicians understood from a high-level perspective that this change was necessary. Planning for specific implementation details had the benefit of input from physicians working in the area. Day-to-day issues of our residents and staff were also addressed promptly.

Attitude of Health Personnel↗

Medication error in the care of HIV/AIDS patients: electronic surveillance, confirmation, and adverse events.

BACKGROUND: Medication error occurring during the care of HIV-infected patients may lead to treatment failure, drug toxicity, or even death. OBJECTIVE: The objective of this study was to ascertain and confirm 5 categories of medication error in the care of HIV-infected patients. RESEARCH DESIGN: This study was a retrospective study to describe the occurrence of preventable medication error and to determine if adverse events were associated with confirmed errors. A roster of medications for each category of potential errors was created. Computerized pharmacy records were scanned for all dispensing of these medications. Potential errors were confirmed by medical records abstraction. For the incorrect dosing, coadministration of contraindicated medications, and antiretroviral monotherapy error categories, random samples were chart reviewed for confirmation. For the remaining 2 error categories, all potential errors were chart reviewed. The positive predictive value (PPV) of potential errors, the incidence of confirmed error among all new prescription orders filled and the patient characteristics predicting likelihood of error confirmation were estimated for each error category. SUBJECTS: The study sample involved 5473 HIV-infected patients of the Kaiser Permanente Northern California (KPNC) health plan. RESULTS: Among the 5 error categories, PPVs ranged from a high of 80% for coadministration of contraindicated medications to <1% for antiretroviral monotherapy. Incidence of confirmed errors was 9.80 errors per 1000 new prescriptions dispensed for incorrect dosing, 9.51 errors per 1000 for contraindicated medications, and <1.00 for all other categories. Adverse events associated with confirmed errors were observed only in the contraindicated medications error category. The likelihood of a contraindicated medications error was significantly increased among patients >or=50 years of age and decreased among black patients. CONCLUSIONS: Use of electronic pharmacy records to ascertain true medication errors appears most reliable when conducting surveillance for contraindicated medications errors and less reliable for other error categories. Lack of confirmation is likely the result of patients' lack of adherence to drug regimens or providers' intentional deviation from accepted prescribing guidelines. Only confirmed contraindicated medications errors appear to be linked to adverse events.

AIDS-Related Opportunistic Infections↗

Improving patient safety through computerized drug management: the devil is in the details.

Electronic prescribing and computerized drug management can improve the safety, quality and cost-effectiveness of prescribing. However, if the problems that lead to avoidable adverse events are not addressed by information technology, there is a risk of making considerable investment without the expected return of error reduction and improved patient safety. Improving the safety of prescribing is particularly important in ambulatory care, where most drugs are prescribed. To improve patient safety, IT solutions should be developed that provide: (1) access to the list of all currently active drugs, (2) alerts for relevant prescribing problems (therapeutic duplication, excess dose, dose adjustment for weight (children, elderly) and renal impairment, drug-disease, drug-drug, drug-age and drug-allergy contraindications), (3) the capacity to electronically submit medication stop orders to the dispensing pharmacy and (4) integration of electronic prescriptions (e-rx) into pharmacy software to avoid transcription errors. To improve quality of prescribing, IT solutions should be capable of providing physicians with reminders and alerts for evidence-based preventive care and disease management based on patient-specific drug, disease, therapeutic intent and other relevant clinical information. To improve the cost-effectiveness of prescribing, IT solutions should be developed to provide the cost of medication at the time the prescription is written, and evidence-based alerts for drugs of choice recommendations when appropriate.

Aged↗

Computerized physician order entry and medication errors in a pediatric critical care unit.

OBJECTIVE: Medication errors are a major concern of health care professionals and medical institutions, especially errors involving children. Studies in adults have shown that computerized physician order entry (CPOE) systems reduce medication errors and adverse drug events (ADEs). The effect of CPOE implementation in a pediatric population has not been reported. The objective of this study was to evaluate the impact of CPOE on the frequency of errors in the medication ordering process in a pediatric critical care unit (PCCU). METHODS: A prospective trial was conducted of 514 pediatric patients who were admitted to a 20-bed PCCU in a tertiary-care children's hospital before and after implementation of CPOE. Medication errors were identified after review of all orders during the study period and then further classified as potential ADEs, medication prescribing errors (MPE), and rule violations (RV). RESULTS: A total of 13 828 medication orders were reviewed. Before implementation, potential ADEs occurred at a rate of 2.2 per 100 orders, MPEs at a rate of 30.1 per 100 orders, and RVs at a rate of 6.8 per 100 orders. After implementation, the rate of potential ADEs was reduced to 1.3 per 100 orders, MPEs to 0.2 per 100 orders, and RVs to 0.1 per 100 orders. The overall error reduction was 95.9%. Potential ADEs were reduced by 40.9%, and MPEs and RVs were reduced by 99.4% and 97.9%, respectively. CONCLUSIONS: The implementation of CPOE resulted in almost a complete elimination of MPEs and RVs and a significant but less dramatic effect on potential ADEs.

Child↗

Implementation of hospital computerized physician order entry systems in a rural state: feasibility and financial impact.

OBJECTIVE: The aim of this study was to estimate the costs of implementing computerized physician order entry (CPOE) systems in hospitals in a rural state and to evaluate the financial implications of statewide CPOE implementation. METHODS: A simulation model was constructed using estimates of initial and ongoing CPOE costs mapped onto all general hospitals in Iowa by bed quantity and current clinical information system (CIS) status. CPOE cost estimates were obtained from a leading CPOE vendor. Current CIS status was determined through mail survey of Iowa hospitals. Patient care revenue and operating cost data published by the Iowa Hospital Association were used to simulate the financial impact of CPOE adoption on hospitals. RESULTS: CPOE implementation would dramatically increase operating costs for rural and critical access hospitals in the absence of substantial costs savings associated with improved efficiency or improved patient safety. For urban and rural referral hospitals, the cost impact is less dramatic but still substantial. However, relatively modest benefits in the form of patient care cost savings or revenue enhancement would be sufficient to offset CPOE costs for these larger hospitals. CONCLUSION: Implementation of CPOE in rural or critical access hospitals may depend on net increase in operating costs. Adoption of CPOE may be financially infeasible for these small hospitals in the absence of increases in hospital payments or ongoing subsidies from third parties.

Costs and Cost Analysis↗

Specificity of computerized physician order entry has a significant effect on the efficiency of workflow for critically ill patients.

BACKGROUND: Critically ill patients require rapid care, yet they are also at risk for morbidity from the potential complications of that care. Computerized physician order entry (CPOE) is advocated as a tool to reduce medical errors, improve the efficiency of healthcare delivery, and improve outcomes. Little is known regarding the essential attributes of CPOE in the intensive care unit (ICU). OBJECTIVE: To assess the effect of CPOE on ICU patient care. DESIGN: Retrospective before and after cohort study. SETTING: An academic ICU. PATIENTS: Patients admitted to the ICU during use of the initial CPOE application and those admitted after its modification. INTERVENTIONS: Comprehensive order interface redesign improving clarity, specificity, and efficiency. MEASUREMENTS: Orders for complex ICU care were compared between the two groups. In addition, the use of higher-efficiency CPOE order paths was tracked. RESULTS: Patients treated with both the initial and modified CPOE system were similar for all measured characteristics. With the modified CPOE system, there were significant reductions in orders for vasoactive infusions, sedative infusions, and ventilator management. There was also a significant increase in orders executed through ICU-specific order sets after system modifications. LIMITATIONS: This retrospective study cannot assess issues related to learner expertise and is meant to only suggest the importance of developing CPOE systems that are appropriate for specialty care environments. CONCLUSION: Appropriate CPOE applications can improve the efficiency of care for critically ill patients. The workflow requirements of individual units must be analyzed before technologies like CPOE can be properly developed and implemented.

Computer Graphics↗

Characteristics and consequences of drug allergy alert overrides in a computerized physician order entry system.

OBJECTIVE: The aim of this study was to determine characteristics of drug allergy alert overrides, assess how often they lead to preventable adverse drug events (ADEs), and suggest methods for improving the allergy-alerting system. DESIGN: Chart review was performed on a stratified random subset of all allergy alerts occurring during a 3-month period (August through October 2002) at a large academic hospital. MEASUREMENTS: Factors that were measured were drug/allergy combinations that triggered alerts, frequency of specific override reasons, characteristics of ADEs, and completeness of allergy documentation. RESULTS: A total of 6,182 (80%) of 7,761 alerts were overridden in 1,150 patients. In this sample, only 10% of alerts were triggered by an exact match between the drug ordered and allergy listed. Physicians' most common reasons for overriding alerts were "Aware/Will monitor" (55%), "Patient does not have this allergy/tolerates" (33%), and "Patient taking already" (10%). In a stratified random subset of 320 patients (28% of 1,150) on chart review, 19 (6%) experienced ADEs attributed to the overridden drug; of these, 9 (47%) were serious. None of the ADEs was considered preventable, because the overrides were deemed clinically justifiable. The degree of completeness of patients' allergy lists was highly variable and generally low in both paper charts and the CPOE system. CONCLUSION: Overrides of drug-allergy alerts were common and about 1 in 20 resulted in ADEs, but all of the overrides resulting in ADEs appeared clinically justifiable. The high rate of alert overrides was attributable to frequent nonexact match alerts and infrequent updating of allergy lists. Based on these findings, we have made specific recommendations for increasing the specificity of alerting and thereby improving the clinical utility of the drug allergy alerting system.

Decision Support Systems, Clinical↗