Biomedical subjects

Douglas B Fridsma

Publications and source records attributed to Douglas B Fridsma.

5 recordsLinked to original sources

PubMed2006

Effectiveness of clinician-selected electronic information resources for answering primary care physicians' information needs.

OBJECTIVE: To determine if clinician-selected electronic information resources improve primary care physicians' abilities to answer simulated clinical questions. DESIGN: Observational study using hour-long interviews in physician offices and think-aloud protocols. PARTICIPANTS: answered 23 multiple-choice questions and chose 2 to obtain further information using their own information resources. We established which resources physicians chose, processes used, and results obtained when looking for information to support their answers. MEASUREMENTS: Correctness of answers before and after searching, resources used, and searching techniques. RESULTS: 23 physicians sought answers to 46 questions using their own information resources. They spent a mean of 13.0 (SD 5.5) minutes searching for information for the two questions using an average of 1.8 resources per question and a wide variety of searching techniques. On average 43.5% of the answers to the original 23 questions were correct. For the questions that were searched, 18 (39.1%) of the 46 answers were correct before searching. After searching, the number of correct answers was 19 (42.1%). This difference of 1 correct answer was attributed to 6 questions (13.0%) going from an incorrect to correct answer and 5 (10.9%) questions going from a correct to incorrect answer. We found differences in the ability of various resources to provide correct answers. CONCLUSION: For the primary care physicians studied, electronic information resources of choice did not always provide support for finding correct answers to simulated clinical questions and in some instances, individual resources may have contributed to an initially correct answer becoming incorrect.

Databases, Bibliographic↗

PubMed2004

Medication error reporting in long term care.

BACKGROUND: Medication errors are common causes of medical error in the long-term care (LTC) setting. Despite their frequency and potential clinical impact, most medication errors in LTC facilities remain unreported. Before better reporting systems can be developed to reduce clinically significant medication errors, it is necessary to understand how current medication error reporting systems function. OBJECTIVE: This study describes the medication use and medication error reporting processes, and characterizes the knowledge, attitudes, and beliefs about medication errors of the nursing staff at a single LTC facility. METHODS: Three methods were used to characterize the medication use and medication error reporting processes and the nursing staff's perceptions about such errors. First, key elements and basic processes were defined through observation and semi-structured interviews. Second, medication error reports were reviewed and summarized over a 21-month period. Third, nursing facility staff were surveyed about their knowledge, attitudes, and beliefs concerning medication errors. RESULTS: The medication use process in the LTC setting is similar to that employed in the acute care setting, consisting of 5 steps: prescribing, documenting, dispensing, administering, and monitoring. In the facility studied, an average of 4.7 medication error reports were submitted per month. Staff felt that half of all medication errors were identified and communicated informally through change-of-shift reports rather than through medication error reports. Most staff (85%) believed that disciplinary action was taken against the person who committed an error. CONCLUSIONS: The medication error policies and processes of the LTC facility studied were associated with a low frequency of formal reporting, a narrow perspective on the sources of error, and concerns about disciplinary action. Research is needed to better identify errors, develop interventions that broaden the monitoring perspective to include all health care professionals, reduce the work of reporting, standardize the information collected, and create an institutional atmosphere of participation rather than punishment.

Data Collection↗

PubMed2004

Predicting the impact of a new information system on workflow using a discrete event simulation.

Computer simulation of an information system prior to its implementation can predict time and workflow changes in a hospital department, while offering a common ground of communication across various levels in the organization. Often, the simulation can predict unexpected effects of changes to the work environment and allow experimentation with alternative scenarios at minimal cost to the department or the organization. In this paper we describe a discrete-event simulation experiment that predicted an unexpected increase in routine specimen processing time with the introduction of an information system in the HLA tissue typing lab at a major transplant center. The computer simulation enabled the reallocation of existing staff prior to the system implementation.

Clinical Laboratory Information Systems↗

PubMed2003

Computer decision support as a source of interpretation error: the case of electrocardiograms.

OBJECTIVE: The aim of this study was to determine the effect that the computer interpretation (CI) of electrocardiograms (EKGs) has on the accuracy of resident (noncardiologist) physicians reading EKGs. DESIGN: A randomized, controlled trial was conducted in a laboratory setting from February through June 2001, using a two-period crossover design with matched pairs of subjects randomly assigned to sequencing groups. MEASUREMENTS: Subjects' interpretive accuracy of discrete, cardiologist-determined EKG findings were measured as judged by a board-certified internist. RESULTS: Without the CI, subjects interpreted 48.9% (95% confidence interval, 45.0% to 52.8%) of the findings correctly. With the CI, subjects interpreted 55.4% (51.9% to 58.9%) correctly (p < 0.0001). When the CIs that agreed with the gold standard (Correct CIs) were not included, 53.1% (47.7% to 58.5%) of the findings were interpreted correctly. When the correct CI was included, accuracy increased to 68.1% (63.2% to 72.7%; p < 0.0001). When computer advice that did not agree with the gold standard (Incorrect CI) was not provided to the subjects, 56.7% (48.5% to 64.5%) of findings were interpreted correctly. Accuracy dropped to 48.3% (40.4% to 56.4%) when the incorrect computer advice was provided (p = 0.131). Subjects erroneously agreed with the incorrect CI more often when it was presented with the EKG 67.7% (57.2% to 76.7%) than when it was not 34.6% (23.8% to 47.3%; p < 0.0001). CONCLUSIONS: Computer decision support systems can generally improve the interpretive accuracy of internal medicine residents in reading EKGs. However, subjects were influenced significantly by incorrect advice, which tempers the overall usefulness of computer-generated advice in this and perhaps other areas.

Cross-Over Studies↗

PubMedDate not supplied

Development and evaluation of a charge capture program for long-term care providers.

OBJECTIVE: Clinicians often have difficulty determining the appropriate Current Procedural Terminology Evaluation and Management code to assign to the type and intensity of patient care they provide. The purpose of this study was to develop, implement, and evaluate a handheld charge capture program for use by providers in the long-term care setting. DESIGN: Using a pre-post study design, we compared the coding accuracy and user satisfaction of an established paper process with a handheld charge capture program created for this study by means of: (1) preimplementation and postimplementation assessment of coding accuracy, and (2) preimplementation and postimplementation clinician survey. SETTING: We studied an academic division of geriatric medicine. PARTICIPANTS: Participants consisted of six clinicians who currently spend at least 50% of their clinical time practicing in the long-term care setting. INTERVENTION: A handheld charge capture program to replace the current paper-based charge capture process was reviewed. RESULTS: Overall coding accuracy improved by approximately 20% when the handheld program was used instead of a paper coding process. The majority of clinicians found that the handheld program was more widely available, efficient, easier to use, and encouraged the participants to document more completely and accurately in the patient's medical record. CONCLUSION: A handheld billing and coding program used by clinicians who provide care for long-term care residents is not only feasible, but leads to an improvement in coding accuracy when compared with a paper process. In addition, clinician satisfaction toward the billing and coding processes improved with the use of the handheld program.

Attitude of Health Personnel↗