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Search results for "Information Professionals"
Hochman M, Bourgoin A, Saluja S, et al. Rockville, MD: Agency for Healthcare Research and Quality; March 2019. AHRQ Publication No. 18(19)-0055-EF.
Programs are in place to address hospital discharge process gaps that contribute to readmissions. This report summarizes research on primary care perspectives on reducing readmissions. Interventions identified include automated alerting to primary care providers when patients are hospitalized and the patient-centered medical home model.
Rizk S, Oguntebi G, Graber ML, Johnston D. Research Triangle Park, NC: RTI International; 2016.
Standard term selection tools—like pick lists or drop-down menus—in information technology can create opportunities for user error due to human factors. This publication explores how mistakes such as selecting the wrong drug from an ordering pick list can occur in the ambulatory environment. The report includes recommendations and resources to help enhance medication safety when using these tools.
Zheng K, Ciemins EL, Lanham HJ, Lindberg C. Rockville, MD: Agency for Healthcare Research and Quality; July 2015. AHRQ Publication No. 15-0058-EF.
Ineffective implementation of health information technology (IT) can result in workarounds and other workflow changes that disrupt care delivery. This report examines how health IT implementation can affect clinician and staff workload in the ambulatory care environment, including increase interruptions and multitasking, and recommends workload considerations to enable staff to adapt to changes in practice.
Community-based health coaches and care coordinators reduce readmissions using information technology to identify and support at-risk Medicare patients after discharge.
Agency for Healthcare Research and Quality. Health Care Innovations Exchange. July 30, 2014.
This article describes an intervention that trained health coaches to use mobile technology to assess the health status of recently discharged Medicare patients, first during an in-home visit 48 hours after leaving the hospital and then with weekly phone calls over a 3-week period. The program resulted in decreased readmission rates and significant cost savings.
Rockville, MD: Agency for Healthcare Research and Quality; August 2013. AHRQ Publication No. 13-0067-EF.
This report summarizes findings from projects that explored how health information technology can augment quality and safety in ambulatory care.
Journal Article > Study
Singh H, Giardina TD, Forjuoh SN, et al. BMJ Qual Saf. 2012;22:93-100.
Diagnostic errors are one of the most common types of preventable errors in ambulatory care, according to data from closed malpractice claims. Difficulty in identifying missed and delayed diagnoses has hampered progress in addressing diagnostic errors. In this case-control study, investigators assessed two triggers for identifying possible cases of diagnostic error within an electronic health record. These triggers were refined from a prior study by the same investigators. The trigger methodology was reasonably accurate in identifying likely diagnostic errors, although the study was limited by poor interrater reliability between physician reviewers on whether an error occurred. Nevertheless, this study demonstrates the potential of screening approaches within electronic medical records for identifying and categorizing possible diagnostic errors.
Journal Article > Study
Singh H, Davis Giardina T, Petersen LA, et al. BMJ Qual Saf. 2012;21:30-38.
Diagnostic errors are a known threat to patient safety, and measuring their prevalence is challenging, particularly outside pathology and radiology settings. Past studies have highlighted classification systems and related prevention strategies, including the adoption of checklists. This study explored the use of a situational awareness (SA) framework to understand diagnostic errors in a primary care setting. Investigators interviewed providers involved in a diagnostic error and revealed that one level of SA was lacking (e.g., information perception, information comprehension, forecasting future events, and choosing appropriate action based on the first three levels). The authors found that applying the SA framework to analyze such errors provided deeper insight into the provider–work system interaction, which included important interface with the electronic health record. A past AHRQ WebM&M perspective and interview discussed diagnostic errors in medicine.