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Educational instruction on a hospital information system for medical students during their surgical rotations.

OBJECTIVE: To evaluate the benefit, for medical students on their surgical rotations, of real-time educational instruction during order entry on a hospital information system. DESIGN: Prospective controlled trial. INTERVENTION: Access to educational information during computerized order entry. SUBJECTS: Medical students in their final year at the University of Calgary. MAIN OUTCOMES: Attainment of the surgery rotation educational objectives, as measured by performance on a multiple-choice examination. METHODS: Before they began their surgical rotations, students at two hospitals took a multiple-choice examination to measure their knowledge of surgery. One hospital had an information system with computerized order entry; students at this hospital had access, while composing orders, to educational material on the system. The other hospital did not have an information system; students there wrote orders on a paper chart. At the end of the rotation, all students took another multiple-choice examination. RESULTS: Of 50 eligible students, 45 agreed to participate in the project, 21 in the treatment group and 24 in the control group. Pre-rotation scores were similar for the two groups (43 percent in the treatment group and 40 percent in the control group; SD, 10 percent). Post-rotation scores were identical for the two groups (65 percent in the treatment group and 65 percent in the control group; SD, 12 percent). A t-test analysis revealed no significant difference in performance on the examinations between the two groups. CONCLUSION: This study did not demonstrate a learning advantage for medical students who have access to educational material on a hospital information system.

Alberta↗

Radiology speech recognition: workflow, integration, and productivity issues.

Continuous voice recognition is now a reality, with at least 3 major vendors providing independent systems for radiology departments. However, to be truly useful, such systems must be integrated into the overall medical informatics architecture including order entry into the radiology information system, the ability to receive orders from the radiology information system, acceptance and transcription of dictation, and transmission of validated reports to the hospital information system (HIS)for billing capture. In addition, the system should permit sufficient flexibility to permit radiologists to operate in multiple modes: real-time recognition, batch processing, or spooling of audio files for later transcription by human agents, which is especially useful for very difficult accents. This article demonstrates the various modes of operation for 2 recognition systems that have been used in our center, describes the basics of their recognition models, examines the HL7 messages required for medical informatics integration, and finally illustrates the effect on report turnaround times.

Computer Communication Networks↗

Providing financial justification to support a stand-alone computer system in a large tertiary-care hospital.

An assessment of the pharmacy's needs and an evaluation of the pharmacy's batch-oriented data processing system supported the acquisition of a new computer system to meet the pharmacy's requirements in the areas of: Medication order entry Response time Capability to interface a materials management system Capability to interface to a patient billing program Development of an audit trail for patient charges Management reports Flexibility for future needs Conversion from a dated batch-oriented system to a medication on-line computerization system has provided enhanced benefits in the areas of fiscal accountability, inventory management, improved quality of pharmaceutical services (drug distribution and drug therapy monitoring), and employee productivity.

Capital Expenditures↗

Physicians' decisions to override computerized drug alerts in primary care.

BACKGROUND: Although computerized physician order entry reduces medication errors among inpatients, little is known about the use of this system in primary care. METHODS: We calculated the override rate among 3481 consecutive alerts generated at 5 adult primary care practices that use a common computerized physician order entry system for prescription writing. For detailed review, we selected a random sample of 67 alerts in which physicians did not prescribe an alerted medication and 122 alerts that resulted in a written prescription. We identified factors associated with the physicians' decisions to override a medication alert, and determined whether an adverse drug event (ADE) occurred. RESULTS: Physicians overrode 91.2% of drug allergy and 89.4% of high-severity drug interaction alerts. In the multivariable analysis using the medical chart review sample (n = 189), physicians were less likely to prescribe an alerted medication if the prescriber was a house officer (odds ratio [OR], 0.26; 95% confidence interval [CI], 0.08-0.84) and if the patient had many drug allergies (OR, 0.70; 95% CI, 0.53-0.93). They were more likely to override alerts for renewals compared with new prescriptions (OR, 17.74; 95% CI, 5.60-56.18). We found no ADEs in cases where physicians observed the alert and 3 ADEs among patients with alert overrides, a nonsignificant difference (P =.55). Physician reviewers judged that 36.5% of the alerts were inappropriate. CONCLUSIONS: Few physicians changed their prescription in response to a drug allergy or interaction alert, and there were few ADEs, suggesting that the threshold for alerting was set too low. Computerized physician order entry systems should suppress alerts for renewals of medication combinations that patients currently tolerate.

Adult↗

High rates of adverse drug events in a highly computerized hospital.

BACKGROUND: Numerous studies have shown that specific computerized interventions may reduce medication errors, but few have examined adverse drug events (ADEs) across all stages of the computerized medication process. We describe the frequency and type of inpatient ADEs that occurred following the adoption of multiple computerized medication ordering and administration systems, including computerized physician order entry (CPOE). METHODS: Using explicit standardized criteria, pharmacists classified inpatient ADEs from prospective daily reviews of electronic medical records from a random sample of all admissions during a 20-week period at a Veterans Administration hospital. We analyzed ADEs that necessitated a changed treatment plan. RESULTS: Among 937 hospital admissions, 483 clinically significant inpatient ADEs were identified, accounting for 52 ADEs per 100 admissions and an incidence density of 70 ADEs per 1000 patient-days. One quarter of the hospitalizations had at least 1 ADE. Of all ADEs, 9% resulted in serious harm, 22% in additional monitoring and interventions, 32% in interventions alone, and 11% in monitoring alone; 27% should have resulted in additional interventions or monitoring. Medication errors contributed to 27% of these ADEs. Errors associated with ADEs occurred in the following stages: 61% ordering, 25% monitoring, 13% administration, 1% dispensing, and 0% transcription. The medical record reflected recognition of 76% of the ADEs. CONCLUSIONS: High rates of ADEs may continue to occur after implementation of CPOE and related computerized medication systems that lack decision support for drug selection, dosing, and monitoring.

Clinical Pharmacy Information Systems↗

[Cancer care with informational technology].

New innovations in clinical information technology have brought about changes in cancer care. The high-speed Internet provides an enormous real-time information exchange among physicians anywhere on earth. Computer-aided clinical decision support systems free up cancer experts in all stages of the cancer care continuum, including prevention, early detection, treatment and end-of-life care. Large registrations of cancer patients using the Internet enable us to construct large nationwide phenotypic and genotypic databases that allow clinicians to optimize individualized cancer treatment. Electronical medical records with an order-entry-system showing realtime clinical information provide safe, efficient and effective care. While new internet/intranet technologies reduce the inefficiencies of cancer care, the unintended consequences of the new informational technologies result in delivery of enormous unregulated clinical information, creating a digital divide between those using and not using the Internet, causing a decrease in communication.

Computer Communication Networks↗

Voluntary medication error reporting program in a Japanese national university hospital.

BACKGROUND: In Japan, as in other countries, medical accidents arising from human error can seriously damage public confidence in medical services, as well as being intrinsically undesirable. OBJECTIVE: Errors voluntarily reported by the healthcare practitioners in our institution (Kanazawa University Hospital) were considered to assess the contributory factors by using the accumulated error database in the hospital information system. METHODS: Medical errors in our institution during the period from July 1, 2000, to June 30, 2002, were counted using the error reporting system database and were classified. RESULTS: The number of errors reported during the investigation period was 1378, of which 78% were reported by nursing staff. Medication errors involving administration of injectable or oral drugs to inpatients, dispensing, and prescription accounted for about 50% of that number. Among dispensing errors, 53% were detected by patients or their families and 36% by nurses. CONCLUSIONS: The best method of error prevention is to learn from previous errors. For this purpose, the error reporting program is effective. In patient safety management, it is important to take into account the potential risks of future errors, as well as to capture information about errors that have already happened. For safety management, adoption of appropriate information technology (e.g., implementation of a prescription order entry system) is effective in reducing medication errors. However, it is important to note that serious errors can also arise in computer-based systems.

Health Occupations↗

Enhancing patient safety: clinician order entry with a pharmacy interface.

The electronic pharmacy interface is the unique aspect of Boston Medical Center's new clinician order entry system, which electronically transmits clinicians' orders to the laboratory, radiology, and pharmacy. The interface and several other enhancements create a platform for clinicians that provides for efficiency, standardization, documentation compliance, and most important, improved patient safety.

Academic Medical Centers↗

Experience using a programmable rules engine to implement a complex medical protocol during order entry.

WizOrder, Vanderbilt University Medical Center's (VUMC) clinician order entry system, is an excellent platform for delivering high-quality decision support to clinical end-users. A scripting language designed to make it easy for non-programmer domain experts to enter rules helps distribute the generation and maintenance of the knowledge-base necessary to drive effective decision support. Domain-experts have used this system to successfully implement relatively simple protocols. The VUMC Care Improvement Committee identified diagnosis of and treatment for suspected or confirmed deep venous thrombosis or pulmonary embolism as an area where decision-support could improve clinician compliance with established evidence-based protocols. The authors describe our experience with using our existing scripting system to implement decision support for a complex medical protocol.

Clinical Protocols↗

Development and evaluation of an integrated pharmaceutical education system.

There is increasing evidence that patient safety can be improved by the introduction of an integrated computer-based medical care system in hospital settings. In this paper, we describe an integrated pharmaceutical information system (IPIS) in which a patient's profile including his/her medication records and prescriptions are collected from physician order entry systems and pharmaceutical systems along with the history of patient care in the hospital. Based on an individual patient's profile the IPIS can provide pharmaceutical education information specifically to meet the patient's needs. The IPIS has been developed and installed at Taipei Medical University Wanfang Hospital (TMUWFH) since July 2002. Evaluation of the system showed that it can help patients to effectively acquire drug information. This enables them to have a much better understanding of the pharmacological properties of the medicines they are taking, including adverse drug reactions and side-effects. In our opinion the system has the potential to improve both patient safety and treatment outcomes.

Drug Information Services↗

Direct text entry in electronic progress notes. An evaluation of input errors.

OBJECTIVES: It is not uncommon that the introduction of a new technology fixes old problems while introducing new ones. The Veterans Administration recently implemented a comprehensive electronic medical record system (CPRS) to support provider order entry. Progress notes are entered directly by clinicians, primarily through keyboard input. Due to concerns that there may be significant, invisible disruptions to information flow, this study was conducted to formally examine the incidence and characteristics of input errors in the electronic patient record. METHODS: Sixty patient charts were randomly selected from all 2,301 inpatient admissions during a 5-month period. A panel of clinicians with informatics backgrounds developed the review criteria. After establishing inter-rater reliability, two raters independently reviewed 1,891 notes for copying, copying errors, inconsistent text, inappropriate object insertion and signature issues. RESULTS: Overall, 60% of patients reviewed had one or more input-related errors averaging 7.8 errors per patient. About 20% of notes showed evidence of copying, with an average of 1.01 error per copied note. Copying another clinician's note and making changes had the highest risk of error. Templating resulted in large amounts of blank spaces. Overall, MDs make more errors than other clinicians even after controlling for the number of notes. CONCLUSIONS: Moving towards a more progressive model for the electronic medical record, where actions are recorded only once, history and physical information is encoded for use later, and note generation is organized around problems, would greatly minimize the potential for error.

Hospital Information Systems↗

The impact of peer management on test-ordering behavior.

BACKGROUND: Laboratory testing of hospitalized patients, although essential, can be expensive and sometimes excessive. Attempts to reduce unnecessary testing have often been difficult to implement or sustain. OBJECTIVE: Use of peer management through a resource utilization committee (RUC) to favorably modify test-ordering behavior in a large academic medical center. DESIGN: Interrupted time-series study. SETTING: Medical center with inpatient care provider order entry (CPOE) system and database of ordered tests. PARTICIPANTS: Predominantly housestaff physicians but all clinical staff (attending physicians, housestaff, medical students, nurses, advance practice nurses, and other clinical staff) at Vanderbilt University Hospital who used CPOE systems. INTERVENTION: The RUC analyzed the ordering habits of providers during previous years and made 2 interventions by modifying software for the CPOE system. The committee first initiated a daily prompt in the system that asked providers whether they wanted to discontinue tests scheduled beyond 72 hours. After evaluating this first intervention, the committee further constrained testing options by unbundling serum metabolic panel tests (sodium, potassium, chloride, bicarbonate, glucose, blood urea nitrogen, and creatinine tests) into single components and by reducing the ease of repeating targeted tests (including electrolyte, blood urea nitrogen, creatinine, and glucose tests; electrocardiography; and portable chest radiography). MEASUREMENTS: Pre- and postintervention volumes of tests; proportion of patients with abnormal targeted chemistry levels after 48 hours; rates of repeated admission, transfer to intensive care units, and mortality; adjusted coefficient of variation for test ordering; and length of stay. RESULTS: Voluntary reduction of testing beyond 72 hours (first intervention) decreased orders for metabolic panel component tests by 24% (P = 0.02) and electrocardiograms by 57% (P = 0.006) but not orders for portable chest radiographs. Prospective constraints on recurrent test ordering with panel unbundling (second intervention) produced an additional decrease of 51% for metabolic panel component tests (P < 0.001) and 16% for portable chest radiographs (P = 0.03). Incidence of patients with abnormal targeted blood chemistry levels after 48 hours decreased after the intervention (P = 0.02). Postintervention-adjusted coefficients of variation decreased for metabolic panel component tests (P = 0.03) and electrocardiography (P = 0.04). Rates of (adjusted) monthly readmission, transfers to intensive care units, hospital length of stay, and mortality were unchanged. LIMITATIONS: Other activities occurring during the time period of the interventions might have influenced some test-ordering behaviors, and we assessed effects on only a limited number of commonly ordered tests. CONCLUSIONS: Peer management reduced provider variability by addressing the imperfect ability of clinicians to rescind testing in a timely manner. Hospitals with growing health care costs can improve their resource utilization through peer management of testing behaviors by using CPOE systems.

Clinical Laboratory Techniques↗

CPOE cuts time needed to deliver meds, X-rays.

Computerized physician order-entry systems improve time to deliver medications and complete X-rays and lab tests. Medication turnaround times decreased from nearly 5 1/2 hours to just under two hours. Little impact seen on hospital costs and lengths of stay.

Clinical Laboratory Information Systems↗

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↗

Clinical information system availability and use in urban and rural hospitals.

Clinical information systems (CIS) capture clinical data to support more efficient and effective decision making and clinical care delivery. Only a few estimates of CIS availability and use in hospitals are available nationally. The purpose of the current research is to examine differences in CIS availability and use between urban and rural hospitals. A survey addressing this purpose was completed by 74 (63.7%) of Iowa hospitals. Rural hospitals lag behind urban hospitals in terms of many CIS applications. More than 80% of the urban hospitals, but only between 30 and 40% of the rural hospitals, reported using computers to collect basic clinical information for potential use in an electronic medical record (EMR) and computerized provider order entry (CPOE) system. Comparison of CIS within one state's urban and rural hospitals sheds light on variation in clinical support applications, decision support, and electronic medical record "readiness" in these settings.

Decision Making, Computer-Assisted↗

Information warehouse as a tool to analyze Computerized Physician Order Entry order set utilization: opportunities for improvement.

A Computerized Physician order entry (CPOE) system was successfully implemented at the Ohio State University Medical Center (OSUMC) in February 2000. The electronic entry and use of order sets is designed to standardize patient care and improve efficiency and patient safety. To evaluate the effectiveness of the CPOE system and to maximize its benefits, one needs to easily access and analyze the data. Since the CPOE system is not equipped to support such on demand analysis, the data from the system is extracted daily into the OSUMC's Information Warehouse (IW). This allows the CPOE data to be linked with other clinical and financial patient information in the IW to provide detailed and comprehensive analysis. Our focus in this paper is the use of the IW as a tool to analyze order set usage patterns and the opportunities such analysis provides for improvements in education, resource utilization and patient care.

Academic Medical Centers↗

Conversion from intravenous to oral medications: assessment of a computerized intervention for hospitalized patients.

BACKGROUND: Many hospitalized patients continue to receive intravenous medications longer than necessary. Earlier conversion from the intravenous to the oral route could increase patient safety and comfort, reduce costs, and facilitate earlier discharge from the hospital without compromising clinical care. We examined the effect of a computer-based intervention to prompt physicians to switch appropriate patients from intravenous to oral medications. METHODS: This study was performed at Brigham and Women's Hospital, an academic tertiary care hospital at which all medications are ordered online. We targeted 5 medications with equal oral and intravenous bioavailability: fluconazole, levofloxacin, metronidazole, ranitidine, and amiodarone. We used the hospital's computerized order entry system to prompt physicians to convert appropriate intravenous medications to the oral route. We measured the total use of the targeted medications via each route in the 4 months before and after the implementation of the intervention. We also measured the rate at which physicians responded to the intervention when prompted. RESULTS: The average intravenous defined daily dose declined by 11.1% (P =.002) from the preintervention to the postintervention period, while the average oral defined daily dose increased by 3.7% (P =.002). Length of stay, case-mix index, and total drug use at the hospital increased during the study period. The average total monthly use of the intravenous preparation of all of the targeted medications declined in the 4 months after the intervention began, compared with the 4 months before. In 35.6% of 1045 orders for which a prompt was generated, the physician either made a conversion from the intravenous to the oral version or canceled the order altogether. CONCLUSIONS: Computer-generated reminders can produce a substantial reduction in excessive use of targeted intravenous medications. As online prescribing becomes more common, this approach can be used to reduce excess use of intravenous medications, with potential benefits in patient comfort, safety, and cost.

Administration, Oral↗

The Regenstrief Medical Record System: a quarter century experience.

Entrusted with the records for more than 1.5 million patients, the Regenstrief Medical Record System (RMRS) has evolved into a fast and comprehensive data repository used extensively at three hospitals on the Indiana University Medical Center campus and more than 30 Indianapolis clinics. The RMRS routinely captures laboratory results, narrative reports, orders, medications, radiology reports, registration information, nursing assessments, vital signs, EKGs and other clinical data. In this paper, we describe the RMRS data model, file structures and architecture, as well as recent necessary changes to these as we coordinate a collaborative effort among all major Indianapolis hospital systems, improving patient care by capturing city-wide laboratory and encounter data. We believe that our success represents persistent efforts to build interfaces directly to multiple independent instruments and other data collection systems, using medical standards such as HL7, LOINC, and DICOM. Inpatient and outpatient order entry systems, instruments for visit notes and on-line questionnaires that replace hardcopy forms, and intelligent use of coded data entry supplement the RMRS. Physicians happily enter orders, problems, allergies, visit notes, and discharge summaries into our locally developed Gopher order entry system, as we provide them with convenient output forms, choice lists, defaults, templates, reminders, drug interaction information, charge information, and on-line articles and textbooks. To prepare for the future, we have begun wrapping our system in Web browser technology, testing voice dictation and understanding, and employing wireless technology.

Computer Terminals↗