Search PubMed⌕ Search

Biomedical subjects

J M Teich

Publications and source records attributed to J M Teich.

At least 19 recordsLinked to original sources

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↗

Using an electronic medical record to identify opportunities to improve compliance with cholesterol guidelines.

OBJECTIVE: To use an electronic medical record to measure rates of compliance with the National Cholesterol Education Program (NCEP) cholesterol guidelines for secondary prevention, to characterize the patterns of noncompliance, and to identify patient and physician-specific correlates of noncompliance. DESIGN: Cross-sectional descriptive analysis of data extracted from an electronic medical record. SETTING: Nineteen primary care clinics affiliated with a tertiary academic medical center. PATIENTS: All patients who visited their primary care physician in the preceding year who met criteria for secondary prevention of hypercholesterolemia. INTERVENTIONS: None. The main outcome was rate of compliance with NCEP cholesterol guidelines. MAIN RESULTS: Of 2,019 patients who qualified for secondary prevention, only 31% were in compliance with NCEP recommendations, although 44% were on lipid-lowering therapy. There was no low-density lipoprotein cholesterol (LDL-C) on record within the last three years for 771 (38%), and another 809 (40%) had a recent LDL-C that was above the recommended target of 100 mg/dL. Of the latter group, 374 (46%) were not on a statin, including 188 patients with an LDL-C >130 mg/dL. Compliance among secondary prevention patients with cerebrovascular or peripheral vascular disease, but not coronary disease, was even lower: 19% versus 36%, P <.0001. Most of the additional noncompliant patients never had an LDL-C checked. Patient-specific factors associated with compliance included having seen a cardiologist (45% vs 21%); having had a recent admission for myocardial infarction, unstable angina, or angina (41% vs 26%); being male (37% vs 24%); and being white (34% vs 26%). Patients over 79 and under 50 years old also were less likely to be compliant (22% vs 34% for 50-79 year olds). There were no significant differences in compliance rates based on physician-specific factors, such as level of training, gender, or panel size. CONCLUSION: We found poor compliance with nationally published and well-accepted guidelines on diagnosing and treating hypercholesterolemia in secondary prevention patients. Compliance was unrelated to physician or physician-specific characteristics, but it was especially low for women, African Americans, patients without a cardiologist, and patients with cerebrovascular and peripheral vascular disease.

Aged↗

Effects of computerized physician order entry on prescribing practices.

BACKGROUND: Computerized order entry systems have the potential to prevent errors, to improve quality of care, and to reduce costs by providing feedback and suggestions to the physician as each order is entered. This study assesses the impact of an inpatient computerized physician order entry system on prescribing practices. METHODS: A time series analysis was performed at an urban academic medical center at which all adult inpatient orders are entered through a computerized system. When physicians enter drug orders, the computer displays drug use guidelines, offers relevant alternatives, and suggests appropriate doses and frequencies. RESULT: For medication selection, use of a computerized guideline resulted in a change in use of the recommended drug (nizatidine) from 15.6% of all histamine(2)-blocker orders to 81.3% (P<.001). Implementation of dose selection menus resulted in a decrease in the SD of drug doses by 11% (P<.001). The proportion of doses that exceeded the recommended maximum decreased from 2.1% before order entry to 0.6% afterward (P<.001). Display of a recommended frequency for ondansetron hydrochloride administration resulted in an increase in the use of the approved frequency from 6% of all ondansetron orders to 75% (P<.001). The use of subcutaneous heparin sodium to prevent thrombosis in patients at bed rest increased from 24% to 47% when the computer suggested this option (P<.001). All these changes persisted at 1- and 2-year follow-up analyses. CONCLUSION: Computerized physician order entry is a powerful and effective tool for improving physician prescribing practices.

Decision Support Systems, Clinical↗

Improving allergy alerting in a computerized physician order entry system.

Computerized physician order entry has been shown to reduce the frequency of serious medication errors. Decision support tools such as alerting functions for patient medication allergy are a key part of these applications. However, optimal performance requires iterative refinement. As systems become increasingly complex, mechanisms to monitor their performance become increasingly critical. We analyzed trend data obtained over a five-year period that showed decreasing compliance to allergy alert functions within computerized order entry. Many medication-allergy pairs were being consistently overridden. Renewal policies affecting reordering narcotics also contributed heavily to this trend. Each factor revealed a system-wide trend that could result in suggestions for policy or software change. Monitoring trends such as these is very important to maintain software correctness and ensure user trust in alerting systems, so users remain responsive to computerized alerts.

Clinical Pharmacy Information Systems↗

A randomized trial of a computer-based intervention to reduce utilization of redundant laboratory tests.

PURPOSE: To determine the impact of giving physicians computerized reminders about apparently redundant clinical laboratory tests. SUBJECTS AND METHODS: We performed a prospective randomized controlled trial that included all inpatients at a large teaching hospital during a 15-week period. The intervention consisted of computerized reminders at the time a test was ordered that appeared to be redundant. Main outcome measures were the proportions of clinical laboratory orders that were canceled and the proportion of the tests that were actually performed. RESULTS: During the study period, there were 939 apparently redundant laboratory tests among the 77,609 study tests that were ordered among the intervention (n = 5,700 patients) and control (n = 5,886 patients) groups. In the intervention group, 69% (300 of 437) of tests were canceled in response to reminders. Of 137 overrides, 41% appeared to be justified based on chart review. In the control group, 51% of ordered redundant tests were performed, whereas in the intervention group only 27% of ordered redundant tests were performed (P <0.001). However, the estimated annual savings in laboratory charges was only $35,000. This occurred because only 44% of redundant tests performed had computer orders, because only half the computer orders were screened for redundancy, and because almost one-third of the reminders were overridden. CONCLUSIONS: Reminders about orders for apparently redundant laboratory tests were effective when delivered. However, the overall effect was limited because many tests were performed without corresponding computer orders, and many orders were not screened for redundancy.

Boston↗

The Brigham integrated computing system (BICS): advanced clinical systems in an academic hospital environment.

The Brigham integrated computing system (BICS) provides nearly all clinical, administrative, and financial computing services to Brigham and Women's Hospital, an academic tertiary-care hospital in Boston. The BICS clinical information system includes a very wide range of data and applications, including results review, longitudinal medical records, provider order entry, critical pathway management, operating-room dynamic scheduling, critical-event detection and altering, dynamic coverage lists, automated inpatient summaries, and an online reference library. BICS design emphasizes direct physician interaction and extensive clinical decision support. Impact studies have demonstrated significant value of the system in preventing adverse events and in saving costs, particularly for medications.

Computer Security↗

A computer-based outpatient clinical referral system.

The process of generating a clinical referral for a patient, and the resulting transfer of information from the primary care physician to the specialist and back again, are key components in the struggle to deliver less costly and more effective clinical care. We have created a computer-based, outpatient clinical referral application that facilitates: (1) identifying an appropriate specialist; (2) collecting the clinical, demographic, and financial data required to generate a referral; and (3) transferring the information between the specialist and the primary care physician (PCP). This article describes the development of the application itself and several of the knowledge bases that were created to facilitate this process. Preliminary results indicate that the new computer-based referral process is faster to use than conventional methods.

Ambulatory Care↗

An information system to promote intravenous-to-oral medication conversion.

Many inpatients remain on expensive intravenous medications, even after they become able to take bioequivalent oral alternatives. We developed a computer intervention to identify such patients and to deliver alerts suggesting a switch to the oral medication. In the first phase of the project, alerts were delivered to pharmacists. The Brigham Integrated Computer System (BICS) was used to produce a daily report of patients receiving any of six targeted intravenous medications, who also had orders for an oral diet or other scheduled oral medications. Staff pharmacists screened the report and suggested IV to PO conversion in appropriate cases to the patient's nurses and/or physicians. Feedback was documented in the BICS system. Analysis of the pilot study showed that in 31.7% of cases, physicians agreed to change (or had just changed) the patient's medication from IV to PO. Further analysis of pilot (Phase I) data was performed against a variety of parameters in order to increase the fraction of alerts deemed appropriate for conversion. These more specific alerts can be sent directly to physicians.

Administration, Oral↗

An institution-based process to ensure clinical software quality.

Clinical software can have a major impact on the delivery of care. It is imperative that clinical software undergo regular quality review, to evaluate the clinical correctness of the specification, the technical correctness of the software, problems that have arisen, and maintenance of the software as conditions change. We have developed a process using existing hospital review groups to perform clinical review, and using a project specification form and analysis of likely problem areas to effect technical review.

Hospital Information Systems↗

Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.

CONTEXT: Adverse drug events (ADEs) are a significant and costly cause of injury during hospitalization. OBJECTIVES: To evaluate the efficacy of 2 interventions for preventing nonintercepted serious medication errors, defined as those that either resulted in or had potential to result in an ADE and were not intercepted before reaching the patient. DESIGN: Before-after comparison between phase 1 (baseline) and phase 2 (after intervention was implemented) and, within phase 2, a randomized comparison between physician computer order entry (POE) and the combination of POE plus a team intervention. SETTING: Large tertiary care hospital. PARTICIPANTS: For the comparison of phase 1 and 2, all patients admitted to a stratified random sample of 6 medical and surgical units in a tertiary care hospital over a 6-month period, and for the randomized comparison during phase 2, all patients admitted to the same units and 2 randomly selected additional units over a subsequent 9-month period. INTERVENTIONS: A physician computer order entry system (POE) for all units and a team-based intervention that included changing the role of pharmacists, implemented for half the units. MAIN OUTCOME MEASURE: Nonintercepted serious medication errors. RESULTS: Comparing identical units between phases 1 and 2, nonintercepted serious medication errors decreased 55%, from 10.7 events per 1000 patient-days to 4.86 events per 1000 (P=.01). The decline occurred for all stages of the medication-use process. Preventable ADEs declined 17% from 4.69 to 3.88 (P=.37), while nonintercepted potential ADEs declined 84% from 5.99 to 0.98 per 1000 patient-days (P=.002). When POE-only was compared with the POE plus team intervention combined, the team intervention conferred no additional benefit over POE. CONCLUSIONS: Physician computer order entry decreased the rate of nonintercepted serious medication errors by more than half, although this decrease was larger for potential ADEs than for errors that actually resulted in an ADE.

Clinical Pharmacy Information Systems↗

Information systems support for emergency medicine.

Information needs for emergency medicine research and for practice are closely related. A well-developed information system can serve both, allowing data gathered in one setting to be used for the other. To produce the best environment for emergency medicine research, providers should support data standards, promote education in data analysis, and understand the informational structure of emergency medicine practice.

Academic Medical Centers↗

Using a computerized sign-out program to improve continuity of inpatient care and prevent adverse events.

BACKGROUND: Many medical injuries are preventable, but there are few reported successful strategies to prevent such injuries. Previous work identified coverage by house staff not primarily responsible for the patient (cross-coverage) as a significant correlate of risk for preventable adverse events. A four-month intervention--computerized sign-outs--was introduced in 1993 in an urban teaching hospital to improve continuity of care during cross-coverage and thereby reduce risk for preventable adverse events. MEASUREMENTS: A previously tested confidential self-report system was used to identify adverse events, which were defined as unexpected complications of medical therapy that resulted in increased length of stay or disability at discharge. A panel of three board-certified internists confirmed events and evaluated preventability based on case summaries. RESULTS: After the intervention, the rate of preventable adverse events among the 3,747 patients admitted to the medical service decreased from 1.7% to 1.2% (p < 0.10). Both univariate and multivariate analysis revealed no association between cross coverage and preventable adverse events after the intervention. In the baseline period, the odds ratio (OR) for a patient suffering a preventable adverse event during cross coverage was 5.2 (95% confidence interval [CI], 1.5-18.2; p = 0.01), but was no longer significant after the intervention (OR, 1.5; 95% CI, 0.2-9.0). CONCLUSION: House staff are willing participants in efforts to measure and improve the quality of health care systems. The intervention may have reduced the risk for medical injury associated with discontinuity of inpatients care. Four years after the end of the study, the computerized sign-out program remained an integral part of the computing support system for house staff and was widely used.

APACHE↗

Asking residents about adverse events in a computer dialogue: how accurate are they?

BACKGROUND: Although retrospective identification of adverse events is time-consuming, whether they are present and/or expected is often readily apparent to providers during the provision of care. METHODS: A computer program to flag admissions with possible adverse events was developed. Readmissions to the hospital within 31 days and admissions including more than one visit to the operating room (OR) were flagged. For surgical site infections, all admissions--including a visit to the OR--were flagged, but only a sample was evaluated in the reliability assessment. Residents in an urban, tertiary care hospital were questioned when inputting computerized discharge orders regarding adverse events among 391 cases sampled from 6,813 admissions for a two-month period. RESULTS: For the 228 readmissions (3.3% of all admissions) identified by the computer program, resident responses had a sensitivity of 57% and a specificity of 73% in detecting an unexpected readmission (nurse responses, 96% and 91%). For the 79 patients with a return to the OR, the residents' responses had a sensitivity of 86% and a specificity of 84% for detecting an unexpected return (versus 75% and 98% for the nurses' responses). For the 209 patients with an OR visit, the sensitivity and specificity for a surgical site infection were 85% and 98% for the residents and 54% and 99% for the nurses. DISCUSSION: Information systems can be used to screen for adverse events and to ask providers whether adverse events are unexpected, although the reliability of this approach is likely to vary by event type.

Boston↗

Design and development of a computer-based clinical referral system for use within a physician hospital organization.

The process of creating a clinical referral for a patient and the transfer of information from the primary care physician to the specialist and back again is a key component in the struggle to deliver less costly and more effective clinical care. We have created a computer-based clinical referral application which facilitates 1) identifying an appropriate specialist; 2) collecting the clinical, demographic, and financial data required to generate a referral; and 3) transferring the information between the specialist and the primary care physician. Preliminary results indicate that the new computer-based process is faster.

Ambulatory Care Information Systems↗

Decision support for medication use in an inpatient physician order entry application and a pharmacy application.

Studies have shown that adverse drug events are common, expensive, and due to causes that can be remedied by information technologies. At our institution we have developed a physician order entry application and a pharmacy application designed to decrease the risk of such adverse drug events. In this paper, we describe the applications, with attention to the clinical decision support features present in each. We also describe the manner in which the two applications interact.

Clinical Pharmacy Information Systems↗

Measuring and improving quality using information systems.

Information systems (IS) are increasingly important for measuring and improving quality. In this paper, we describe our integrated delivery system's plan for and experiences with measuring and improving quality using IS. Our approach is that for quality measurement to be practical, it must be integrated with the routine provision of care, and whenever possible should be done using IS. Thus, at one hospital, we now perform almost all quality measurement using IS. However, IS are not only useful for measuring care, but represent powerful tools for improving care using decision support. Specific areas in which IS has already been particularly effective include reducing the unnecessary use of laboratory testing, reporting important abnormalities to key providers rapidly, adverse drug event detection and prevention, initiatives to reduce the costs of drugs, and making critical pathways available to providers. The next wave of effort will be to promote widespread use of computerized guidelines, which is likely to prove more challenging. However, the advent of managed care in the U.S. has produced strong incentives to provide high quality care at low cost, and our perspective is that only with better IS than exist today will this be possible on a widespread basis. Such systems make feasible implementation of care improvement and cost reduction initiatives on a scale which could not previously be considered.

Decision Making, Computer-Assisted↗