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Dive into the research topics where Mindy Flanagan is active.

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Featured researches published by Mindy Flanagan.


Journal of the American Medical Informatics Association | 2009

Evaluation of a Physician Informatics Tool to Improve Patient Handoffs

Mindy Flanagan; Emily S. Patterson; Richard M. Frankel; Bradley N. Doebbeling

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 physicians 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.


Health Informatics Journal | 2014

Sources of variation in primary care clinical workflow: implications for the design of cognitive support.

Laura G. Militello; Nicole B. Arbuckle; Jason J. Saleem; Emily S. Patterson; Mindy Flanagan; David A. Haggstrom; Bradley N. Doebbeling

This article identifies sources of variation in clinical workflow and implications for the design and implementation of electronic clinical decision support. Sources of variation in workflow were identified via rapid ethnographic observation, focus groups, and interviews across a total of eight medical centers in both the Veterans Health Administration and academic medical centers nationally regarded as leaders in developing and using clinical decision support. Data were reviewed for types of variability within the social and technical subsystems and the external environment as described in the sociotechnical systems theory. Two researchers independently identified examples of variation and their sources, and then met with each other to discuss them until consensus was reached. Sources of variation were categorized as environmental (clinic staffing and clinic pace), social (perception of health information technology and real-time use with patients), or technical (computer access and information access). Examples of sources of variation within each of the categories are described and discussed in terms of impact on clinical workflow. As technologies are implemented, barriers to use become visible over time as users struggle to adapt workflow and work practices to accommodate new technologies. Each source of variability identified has implications for the effective design and implementation of useful health information technology. Accommodating moderate variability in workflow is anticipated to avoid brittle and inflexible workflow designs, while also avoiding unnecessary complexity for implementers and users.


Occupational Medicine | 2011

A US–UK comparison of health in 1990–1991 Gulf War veterans

Khalida Ismail; Nicola T. Fear; Mindy Flanagan; Bradley N. Doebbeling; Simon Wessely

BACKGROUND UK and US military personnel appear to have different health profiles yet direct comparisons of health status and deployment exposures between US and UK military populations have never been performed. AIMS To compare US and UK military personnel deployed to the 1991 Persian Gulf War (PGW) for rates of symptom reporting, medical conditions and health status [Short Form-36 general health perception (GHP) and physical functioning (PF) subscales] and self-report military exposures. METHODS We analysed representative cross-sectional samples of military personnel from the Iowa Persian Gulf Study (n = 3626) and the UK Health Survey of Military Personnel (n = 5573) that included directly comparable measures and stratified by those who had been deployed to PGW and those who had not been deployed to PGW. RESULTS Although UK veterans had similar mean PF scores as US veterans (mean differences in PGW: 0.86, 95% CI -0.36 to 2.07 and in non-deployed -0.61, 95% CI -1.84 to 0.62), they had worse mean GHP scores (mean differences in PGW: -5.62, 95% CI -7.44 to -3.80 and in non-deployed -3.83, 95% CI -5.40 to -2.27). UK PGW veterans were more likely to report Gulf specific exposures, and this was associated with worse GHP (UK mean difference -9.05, 95% CI -11.49 to -6.61 versus US mean difference -4.30, 95% CI -6.62 to -1.98). CONCLUSIONS This study observed transatlantic variations in health status in military populations that may reflect cultural differences in the reporting of health.


Proceedings of the Human Factors and Ergonomics Society Annual Meeting | 2016

Design concepts to support management of outpatient consultations in the Veterans Health Administration

Laura G. Militello; Julie Diiulio; Alissa L. Russ; April Savoy; Mindy Flanagan; Himalaya Patel; Michael W. Weiner; Richard L. Roudebush

This poster describes a project to improve understanding of the challenges associated with managing consultations in the Veterans Health Administration (VHA). We conducted interviews and observations with primary care providers and specialists at two VHA facilities. Using qualitative analysis, we identified cognitive requirements, challenges associated with each, and design seeds. During the poster session, we will present design concepts exploring interventions to support management of consultations.


AMIA | 2016

Barriers and Facilitators to Using Electronic Health Records for Referrals between Primary and Specialty Care Clinics.

Justina Wu; Laura G. Militello; Mindy Flanagan; Barry C. Barker; Shakaib U. Rehman; Brian W. Porter; Jasma M. Adams; April Savoy; Alissa L. Russ; Michael W. Weiner


Publisher | 2016

“Anybody on this list that you're more worried about?” Qualitative analysis exploring the functions of questions during end of shift handoffs

Colleen M O'Brien; Mindy Flanagan; Alicia A. Bergman; Patricia R. Ebright; Richard M. Frankel


AMIA | 2016

Templates for Ordering Specialty Care Consultations Lack Minimalism and Error Prevention: Results of a Heuristic Evaluation.

April Savoy; Himalaya Patel; Mindy Flanagan; Michael W. Weiner; Alissa L. Russ


Archive | 2011

Emerging Perspectives on Transforming the Healthcare System

Bradley N. Doebbeling; Mindy Flanagan


Archive | 2008

Figure 2a, Process flow diagram for performing a glucose test on a critical-care patient. Adapted from Woodward-Hagg H, El-Harit J, Vanni C, et al. Application of Lean Six Sigma techniques to reduce workload impact during implementation of patient care bundles within critical care – A case study. Proceedings of the 2007 American Society for Engineering Education Indiana/Illinois Section Conference; 2007 Mar; Indianapolis, IN. Used with permission.

Heather Woodward Hagg; Jamie Workman-Germann; Mindy Flanagan; Deanna Suskovich; Susan Schachitti; Christine Corum; Bradley N. Doebbeling


Archive | 2008

Table 3, Summary of project sustainability and spread assessment

Heather Woodward Hagg; Jamie Workman-Germann; Mindy Flanagan; Deanna Suskovich; Susan Schachitti; Christine Corum; Bradley N. Doebbeling

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Himalaya Patel

Veterans Health Administration

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Alicia A. Bergman

Veterans Health Administration

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