OBJECTIVE To facilitate patient handoffs between physicians, the computerized patient handoff tool (PHT) extracts information from the electronic health record to populate a form that is printed and given to the cross-cover physician. OBJECTIVES were to: (1) evaluate the rate at which data elements of interest were extracted from the electronic health record into the PHT, (2) assess the frequency for needing information beyond that contained in the PHT and where obtained, (3) assess physician's perceptions of the PHT, (4) identify opportunities for improvement. DESIGN Observational study. MEASUREMENTS This multi-method study included content coding of PHT forms, end of shift surveys of cross-cover resident physicians, and semi-structured interviews to identify opportunities for improvement. Thirty-five of 42 internal medicine resident physicians participated. Measures included: 1264 PHT forms coded for type of information, 63 end-of-shift surveys of cross-cover residents (residents could participate 2 times), and 18 semi-structured interviews. RESULTS For objective 1, patient identifiers and medications were reliably extracted (>98%). Other types of information-allergies and code status-were more variable (<50%). For objective 2, nearly a quarter of respondents required information from physician notes not available in the PHT. For objective 3, respondents found that the PHT supported handoffs but indicated that it often excluded the assessment and plan. For objective 4, residents suggested including treatment plans. CONCLUSIONS The PHT reliably extracts information from the electronic health record. Respondents found the PHT to be suitable, although opportunities for improvement were identified.

OBJECTIVE: Computerized clinical reminders (CRs) were designed to reduce clinicians' reliance on their memory and to present evidence-based guidelines at point of care. However, the literature indicates that CR adoption and effectiveness has been variable. We examined the impact of four design modifications to CR software on learnability, efficiency, usability, and workload for intake nursing personnel in an outpatient clinic setting. These modifications were included in a redesign primarily to address barriers to effective CR use identified during a previous field study. DESIGN: In a simulation experiment, 16 nurses used prototypes of the current and redesigned system in a within-subject comparison for five simulated patient encounters. Prior to the experimental session, participants completed an exploration session, where "learnability" of the current and redesigned systems was assessed. MEASUREMENTS: Time, performance, and survey data were analyzed in conjunction with semi-structured debrief interview data. RESULTS: The redesign was found to significantly increase learnability for first-time users as measured by time to complete the first CR, efficiency as measured by task completion time for two of five patient scenarios, usability as determined by all three groupings of questions taken from a commonly used survey instrument, and two of six workload subscales of the NASA Task Load Index (TLX) survey: mental workload and frustration. CONCLUSION: Modest design modifications to existing CR software positively impacted variables that likely would increase the willingness for first-time nursing personnel to adopt and consistently use CRs.

OBJECTIVE: Evidence-based practices in preventive care and chronic disease management are inconsistently implemented. Computerized clinical reminders (CRs) can improve compliance with these practices in outpatient settings. However, since clinician adherence to CR recommendations is quite variable and declines over time, we conducted observations to determine barriers and facilitators to the effective use of CRs. DESIGN: We conducted an observational study of nurses and providers interacting with CRs in outpatient primary care clinics for two days in each of four geographically distributed Veterans Administration (VA) medical centers. MEASUREMENTS: Three observers recorded interactions of 35 nurses and 55 physicians and mid-level practitioners with the CRs, which function as part of an electronic medical record. Field notes were typed, coded in a spreadsheet, and then sorted into logical categories. We then integrated findings across observations into meaningful patterns and abstracted the data into themes, such as recurrent strategies. Several of these themes translated directly to barriers and facilitators to effective CR use. RESULTS: Optimally using the CR system for its intended purpose was impeded by (1) lack of coordination between nurses and providers; (2) using the reminders while not with the patient, impairing data acquisition and/or implementation of recommended actions; (3) workload; (4) lack of CR flexibility; and (5) poor interface usability. Facilitators included (1) limiting the number of reminders at a site; (2) strategic location of the computer workstations; (3) integration of reminders into workflow; and (4) the ability to document system problems and receive prompt administrator feedback. CONCLUSION: We identified barriers that might explain some of the variability in the use of CRs. Although these barriers may be difficult to overcome, some strategies may increase user acceptance and therefore the effectiveness of the CRs. These include explicitly assigning responsibility for each CR to nurses or providers, improving visibility of positive results from CRs in the electronic medical record, creating a feedback mechanism about CR use, and limiting the overall number of CRs.

OBJECTIVE: Substantial variations in adherence to guidelines for human immunodeficiency virus (HIV) care have been documented. To evaluate their effectiveness in improving quality of care, ten computerized clinical reminders (CRs) were implemented at two pilot and eight study sites. The aim of this study was to identify human factors barriers to the use of these CRs. DESIGN: Observational study was conducted of CRs in use at eight outpatient clinics for one day each and semistructured interviews were conducted with physicians, pharmacists, nurses, and case managers. MEASUREMENTS: Detailed handwritten field notes of interpretations and actions using the CRs and responses to interview questions were used for measurement. RESULTS: Barriers present at more than one site were (1) workload during patient visits (8 of 8 sites), (2) time to document when a CR was not clinically relevant (8 of 8 sites), (3) inapplicability of the CR due to context-specific reasons (9 of 26 patients), (4) limited training on how to use the CR software for rotating staff (5 of 8 sites) and permanent staff (3 of 8 sites), (5) perceived reduction of quality of provider-patient interaction (3 of 23 permanent staff), and (6) the decision to use paper forms to enable review of resident physician orders prior to order entry (2 of 8 sites). CONCLUSION: Six human factors barriers to the use of HIV CRs were identified. Reducing these barriers has the potential to increase use of the CRs and thereby improve the quality of HIV care.

Communication was the most frequently cited cause of medication errors reported between 1995 and 2003. More detailed models of how communication breakdowns contribute to adverse events are needed to intervene to improve communication processes. We describe in detail an incident where an oncology fellow physician erroneously substituted the medication navelbine for the intended etoposide during ordering, resulting in a prolonged hospitalization with severe leukopenia for the patient. A team of human factors and medical experts analyzed the case and identified communication patterns described in the human factors literature. We discuss how the findings suggest targeted ideas for improving communication processes, media, and systems that may have higher "traction" for improving patient safety than are possible solely from aggregated analyses of coded descriptions of large sets of cases.

OBJECTIVE: In addition to providing new capabilities, the introduction of technology in complex, sociotechnical systems, such as health care and aviation, can have unanticipated side effects on technical, social, and organizational dimensions. To identify potential accidents in the making, the authors looked for side effects from a natural experiment, the implementation of bar code medication administration (BCMA), a technology designed to reduce adverse drug events (ADEs). DESIGN: Cross-sectional observational study of medication passes before (21 hours of observation of 7 nurses at 1 hospital) and after (60 hours of observation of 26 nurses at 3 hospitals) BCMA implementation. MEASUREMENTS: Detailed, handwritten field notes of targeted ethnographic observations of in situ nurse-BCMA interactions were iteratively analyzed using process tracing and five conceptual frameworks. RESULTS: Ethnographic observations distilled into 67 nurse-BCMA interactions were classified into 12 categories. We identified five negative side effects after BCMA implementation: (1) nurses confused by automated removal of medications by BCMA, (2) degraded coordination between nurses and physicians, (3) nurses dropping activities to reduce workload during busy periods, (4) increased prioritization of monitored activities during goal conflicts, and (5) decreased ability to deviate from routine sequences. CONCLUSION: These side effects might create new paths to ADEs. We recommend design revisions, modification of organizational policies, and "best practices" training that could potentially minimize or eliminate these side effects before they contribute to adverse outcomes.

Article Rapid Scout: bridging the gulf between physical and virtual environments Share on Authors: David S. Ranson Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OH Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OHView Profile , Emily S. Patterson Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OH Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OHView Profile , Daniel L. Kidwell Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OH Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OHView Profile , Gavin A. Renner Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OH Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OHView Profile , Mike L. Matthews Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OH Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OHView Profile , Jim M. Corban Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OH Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OHView Profile , Emil Seculov Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OH Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OHView Profile , Constantine S. Souhleris Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OH Cognitive Systems Engineering Laboratory, The Ohio State University, Columbus OHView Profile Authors Info & Claims CHI '96: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsApril 1996 Pages 442–449https://doi.org/10.1145/238386.238602Online:13 April 1996Publication History 1citation493DownloadsMetricsTotal Citations1Total Downloads493Last 12 Months15Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

In domains like air traffic management, aircraft carrier operations, and space mission control, practitioners coordinate their activities through voice loops that allow communication among groups of people who are spatially separate. Voice loops have evolved into essential coordination support tools for experienced practitioners in space shuttle mission control, as well as other domains. We describe how voice loops support the coordination of activities and cognitive processes in event-driven domains like space shuttle mission control. We discuss how the loops help flight controllers synchronize their activities and integrate information, and how they facilitate directed communication and support the negotiation of interruptions. In addition, we suggest factors like attentional cues, implicit protocols, and the structure and features of the loops, which might govern the success of voice loops in the mission control domain. Our results should provide insight into the important functions that should be considered in the development of systems intended to support cooperative work.