The value of EHR-based assessment of physician competency: An investigative effort with internal medicine physicians

Venta, Kimberly; Baker, Erin; Fidopiastis, Cali M.; Stanney, Kay M.

doi:10.1016/j.ijmedinf.2017.08.003

Cited by 4 publications

(5 citation statements)

References 13 publications

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“…43 In addition, four articles allude to practical processes to follow, but do not theorize them nor provide an iterative model for their implementation. 42,44–46…”

Section: Resultsmentioning

confidence: 99%

“…Regarding the software, Venta et al 45 investigate the development and adoption of Skill-Deficiency Evaluation Toolkit for Eliminating Competency-loss Trends, a plug-in for EHRs that allows to predict cognitive clinical skill deficiencies and supports personalized CME selection. As an extension of this study, Fidopiastis et al 46 improves the software performance validating the use of statistical risk-adjustment techniques.…”

Section: Resultsmentioning

confidence: 99%

“…After an early foundation phase characterized by commentaries, 42 recommendations, 44 and conceptual models 43 based on a retrospective approach to eHealth data analysis, the literature then focuses on the evaluation of existing tools (ie, electronic clinical audits) 43 and the development of novel predictive models for data analysis (ie, Skill-Deficiency Evaluation Toolkit for Eliminating Competency-loss Trends). 45,46 In more recent years, published studies explore instead medical practitioners' attitudes toward and engagement with eHealth data 47,52 or shed light on those systemic and cultural factors that influence the use of this type of data for CPD purposes. 48,51 Such topic evolution does not represent a novelty because it seems to be very much in line with the latest literature on predictive learning analytics, 53 doctor's attitudes toward CPD, 54,55 innovative life-long learning theoretical models, 56 and CPD strategic development approaches.…”

Section: Discussionmentioning

confidence: 99%

“…43 In addition, four articles allude to practical processes to follow, but do not theorize them nor provide an iterative model for their implementation. 42,[44][45][46] RQ4: Influencing factors. Five of the included articles describe the existence of systemic, organizational, and individual factors that influence the use of eHealth data for CPD purposes.…”

Section: Main Findingsmentioning

confidence: 99%

“…Only one study recommends the implementation of a new digital tool to support physicians' professional developmentan ePortfolio that enables to link clinical performance data with practice-based learning interventions. 44 Regarding the software, Venta et al 45 investigate the development and adoption of Skill-Deficiency Evaluation Toolkit for Eliminating Competency-loss Trends, a plug-in for EHRs that allows to predict cognitive clinical skill deficiencies and supports personalized CME selection. As an extension of this study, Fidopiastis et al 46 improves the software performance validating the use of statistical riskadjustment techniques.…”

Section: Main Findingsmentioning

confidence: 99%

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Using eHealth Data to Inform CPD for Medical Practitioners: A Scoping Review with a Consultation Exercise with International Experts

Pizzuti,

Palmieri,

Shaw

2023

J Contin Educ Health Prof

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Introduction: eHealth data analytics is widely used in health care research. However, there is limited knowledge on the role of eHealth data analysis to inform continuing professional development (CPD). The aim of this study was to collate available research evidence on the use of eHealth data for the development of CPD programs and plans for medical practitioners. Methods: A scoping review was conducted using the six-stage Arksey and O'Malley Framework. A consultation exercise (stage 6) was performed with 15 international experts in the fields of learning and practice analytics to deepen the insights. Results: Scoping review. The literature searches identified 9876 articles published from January 2010 to May 2022. After screening and full-text review, a total of nine articles were deemed relevant for inclusion. The results provide varied—and at times partial or diverging—answers to the scoping review research questions. Consultation exercise. Research rigor, field of investigation, and developing the field were the three themes emerged from analysis. Participants validated the scoping review methodology and confirmed its results. Moreover, they provided a meta-analysis of the literature, a description of the current CPD ecosystem, and clear indications of what is and should be next for the field. Discussion: This study shows that there is no formal or well-established correlation between eHealth data and CPD planning and programming. Overall findings fill a gap in the literature and provide a basis for further investigation. More foundational work, multidisciplinary collaborations, and stakeholders' engagement are necessary to advance the use of eHealth data analysis for CPD purposes.

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“…43 In addition, four articles allude to practical processes to follow, but do not theorize them nor provide an iterative model for their implementation. 42,44–46…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Main Findingsmentioning

confidence: 99%

Section: Main Findingsmentioning

confidence: 99%

See 3 more Smart Citations

Using eHealth Data to Inform CPD for Medical Practitioners: A Scoping Review with a Consultation Exercise with International Experts

Pizzuti,

Palmieri,

Shaw

2023

J Contin Educ Health Prof

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Impact of a tailored training on advanced electronic medical records use for providers in a Veterans Health Administration Medical System

2018

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This quality improvement project evaluated the impact of a tailored, evidence-based training strategy on advanced electronic medical record (EMR) use for Veterans Administration (VA) clinicians experienced in using the EMR. After developing the curriculum, an online needs assessment tool evaluated 20 clinicians’ competency gaps. Responses were used to prioritize clinicians’ training needs. Clinician informaticists then provided 2–4 h of tailored training to groups of 1–5 clinicians. Compared with baseline scores (M = 3.59), scores on EMR Task Comfort showed a large improvement in the week following training (M = 4.60; t = 5.41; P <.000, r = 0.58) regardless of baseline level of computer anxiety. Assessment and tailored training methods can help maximize the benefits of resources for EMR training. This formative evaluation suggests that tailored, hands-on training led by clinician informaticists effectively improved clinicians’ EMR comfort and confidence in only 2–4 h.

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A Step Toward Identifying Sources of Medical Errors: Modeling Standards of Care Deviations for Different Disease States

et al. 2018

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The value of EHR-based assessment of physician competency: An investigative effort with internal medicine physicians

Cited by 4 publications

References 13 publications

Using eHealth Data to Inform CPD for Medical Practitioners: A Scoping Review with a Consultation Exercise with International Experts

Using eHealth Data to Inform CPD for Medical Practitioners: A Scoping Review with a Consultation Exercise with International Experts

Impact of a tailored training on advanced electronic medical records use for providers in a Veterans Health Administration Medical System

A Step Toward Identifying Sources of Medical Errors: Modeling Standards of Care Deviations for Different Disease States

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