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Biomedical subjects

J M Teich

Publications and source records attributed to J M Teich.

At least 19 recordsLinked to original sources
PubMed1999

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↗
PubMed1999

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↗
PubMed1999

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↗
PubMed1999

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↗
PubMed1999

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↗
PubMed1998

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↗
PubMed1998

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↗
PubMed1998

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↗
PubMed1998

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↗
PubMed1998

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↗
PubMed1998

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↗
PubMed1998

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↗
PubMed1998

Components of the optimal ambulatory care computing environment.

We present here a framework of core components of an ambulatory care computing environment, based on clinical and functional needs and workflow scenarios. We have established this framework through the use of two study devices: a vision of the clinical office of the future, and a survey of possible computer applications, both designed to help clinicians and practice directors communicate their information needs to systems designers. Clinicians prioritize applications based on strategic and practice goals: support for clinical users' workflow, improved quality of care, reduced cost of care, and the ability to measure performance and status. By reorganizing the needed functionality from a clinical viewpoint into a technical viewpoint, we are able to identify core information components for systems design. Based on this analysis, information needs in the ambulatory environment can be divided into five primary functions: patient data retrieval, documentation, communication, knowledge resources, and aggregate reporting. Three other fundamental processes--knowledge-based interventions, information integration, and confidentiality--run through all of these front-line functions. Component applications and data structures built with this framework in mind will afford a maximum combination of functionality and flexibility to handle future changes in the clinical environment.

Ambulatory Care↗
PubMed1998

Clinical information systems for integrated healthcare networks.

In the 1990's, a large number of hospitals and medical practices have merged to form integrated healthcare networks (IHN's). The nature of an IHN creates new demands for information management, and also imposes new constraints on information systems for the network. Important tradeoffs must be made between homogeneity and flexibility, central and distributed governance, and access and confidentiality. This paper describes key components of clinical information systems for IHN's, and examines important design decisions that affect the value of such systems.

Computer Communication Networks↗
PubMed1998

A software architecture to support a large-scale, multi-tier clinical information system.

A robust software architecture is necessary to support a large-scale multi-tier clinical information system. This paper describes our mechanism for enterprise distribution of applications and support files, the consolidation of data-access functions and system utilities stored on the data access tier, and an application framework which implements a coherent clinical computing environment. The software architecture and systems described in this paper have been robust through pilot testing of our applications at Massachusetts General Hospital.

Computer Security↗
PubMed1998

Modifiable templates facilitate customization of physician order entry.

Physician order entry is a key factor in improving the quality of healthcare, while simultaneously reducing its cost. This paper describes an editor, a database, and a run-time system for creating and executing highly customized, user modifiable, order entry templates. The system allows non-programmers to create new order entry templates rapidly. Over the past 18 months, the templates have been used on over 2500 patients to enter over 40,000 separate orders.

Database Management Systems↗