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  1. Article ; Online: You can teach students to give better feedback.

    Popeo, Dennis M / Gillespie, Colleen

    Medical education

    2022  Volume 56, Issue 11, Page(s) 1117–1118

    MeSH term(s) Feedback ; Humans ; Students ; Teaching
    Language English
    Publishing date 2022-08-21
    Publishing country England
    Document type Journal Article
    ZDB-ID 195274-2
    ISSN 1365-2923 ; 0308-0110
    ISSN (online) 1365-2923
    ISSN 0308-0110
    DOI 10.1111/medu.14903
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Scaffolding the Transition to Residency: A Qualitative Study of Coach and Resident Perspectives.

    Park, Agnes / Gillespie, Colleen / Triola, Marc / Buckvar-Keltz, Lynn / Greene, Richard E / Winkel, Abigail Ford

    Academic medicine : journal of the Association of American Medical Colleges

    2023  Volume 99, Issue 1, Page(s) 91–97

    Abstract: Purpose: This study explores coaching during transition from medical school to residency through the perspectives of residents and faculty coaches participating in a coaching program from residency match through the first year of residency.: Method: ... ...

    Abstract Purpose: This study explores coaching during transition from medical school to residency through the perspectives of residents and faculty coaches participating in a coaching program from residency match through the first year of residency.
    Method: From January to September 2020, 15 faculty coaches in internal medicine, obstetrics and gynecology, emergency medicine, orthopedics, and pathology participated in a synchronous, in-person coaching training course. All 94 postgraduate year 1 residents in these 5 training programs participated. Between November 2021 and March 2022, focus groups were held with interns from all residency programs participating in the program. Interviews were conducted with faculty coaches in February 2022. Faculty and residents discussed their experiences with and perceptions of coaching. De-identified transcripts were coded, and researchers organized these codes into broader categories, generated cross-cutting themes from the concepts described in both cohorts, and proposed a model for the potential of coaching to support the transition to residency. Descriptive themes were constructed and analytic themes developed by identifying concepts that crossed the data sets.
    Results: Seven focus groups were held with 39 residents (42%). Residents discussed the goals of a coaching program, coach attributes, program factors, resident attributes, and the role of the coach. Coaches focused on productivity of coaching, coaching skills and approach, professional development, and scaffolding the coaching experience. Three analytic themes were created: (1) coaching as creating an explicit curriculum for growth through the transition to residency, (2) factors contributing to successful coaching, and (3) ways in which these factors confront graduate medical education norms.
    Conclusions: Learner and faculty perspectives on coaching through the transition to residency reveal the potential for coaching to make an explicit and modifiable curriculum for professional growth and development. Creating structures for coaching in graduate medical education may allow for individualized professional development, improved mindset, self-awareness, and self-directed learning.
    MeSH term(s) Humans ; Internship and Residency ; Clinical Competence ; Education, Medical, Graduate ; Qualitative Research ; Gynecology ; Mentoring
    Language English
    Publishing date 2023-09-12
    Publishing country United States
    Document type Journal Article
    ZDB-ID 96192-9
    ISSN 1938-808X ; 1040-2446
    ISSN (online) 1938-808X
    ISSN 1040-2446
    DOI 10.1097/ACM.0000000000005446
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: SMARTer Goalsetting: A Pilot Innovation for Coaches During the Transition to Residency.

    Winkel, Abigail Ford / Chang, Lucy Y / McGlone, Pauline / Gillespie, Colleen / Triola, Marc

    Academic medicine : journal of the Association of American Medical Colleges

    2023  Volume 98, Issue 5, Page(s) 585–589

    Abstract: Problem: Ability to set goals and work with coaches can support individualized, self-directed learning. Understanding the focus and quality of graduating medical student and first-year resident goals and the influence of coaching on goal-setting can ... ...

    Abstract Problem: Ability to set goals and work with coaches can support individualized, self-directed learning. Understanding the focus and quality of graduating medical student and first-year resident goals and the influence of coaching on goal-setting can inform efforts to support learners through the transition from medical school to residency.
    Approach: This observational study examined goal-setting among graduating medical students and first-year residents from April 2021 to March 2022. The medical students set goals while participating in a Transition to Residency elective. The residents in internal medicine, obstetrics and gynecology, emergency medicine, orthopedics, and pathology set goals through meeting 1:1 with coaches. Raters assessed goals using a 3-point rubric on domains of specific, measurable, attainable, relevant, and timely (i.e., SMART goal framework) and analyzed descriptive statistics, Mann-Whitney U tests, and linear regressions.
    Outcomes: Among 48 medical students, 30 (62.5%) set 108 goals for early residency. Among 134 residents, 62 (46.3%) entered goals. Residents met with coaches 2.8 times on average (range 0-8 meetings, median = 3). Goal quality was higher in residents than medical students (average score for S: 2.71 vs 2.06, P < .001; M: 2.38 vs 1.66, P < .001; A: 2.92 vs 2.64, P < .001; R: 2.94 vs 2.86, P = .002; T: 1.71 vs 1.31, P < .001). The number of coaching meetings was associated with more specific, measurable goals (specific: F [1, 1.02] = 6.56, P = .01, R2 = .10; measurable: F [1, 1.49] = 4.74, P = .03, R2 = .07).
    Next steps: Learners set realistic, attainable goals through the transition to residency, but the goals could be more specific, measurable, and timely. The residents set SMARTer goals, with coaching improving goal quality. Understanding how best to scaffold coaching and support goal-setting through this transition may improve trainees' self-directed learning and well-being.
    MeSH term(s) Female ; Pregnancy ; Humans ; Internship and Residency ; Gynecology/education ; Obstetrics/education ; Learning ; Mentoring ; Clinical Competence
    Language English
    Publishing date 2023-01-16
    Publishing country United States
    Document type Observational Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 96192-9
    ISSN 1938-808X ; 1040-2446
    ISSN (online) 1938-808X
    ISSN 1040-2446
    DOI 10.1097/ACM.0000000000005153
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Sharing best practices for educational programs on venture creation and commercialization.

    Eidlisz, Jordan / Hill-Whilton, Zachary / Vizgan, Gabriel / Cobos, Daniel / Chitale, Sadhana / Gillespie, Colleen / Dib, Nabil / Gold-von Simson, Gabrielle

    Nature biotechnology

    2024  Volume 42, Issue 4, Page(s) 675–681

    Language English
    Publishing date 2024-04-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1311932-1
    ISSN 1546-1696 ; 1087-0156
    ISSN (online) 1546-1696
    ISSN 1087-0156
    DOI 10.1038/s41587-024-02199-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: A Preliminary Evaluation of Students' Learning and Performance Outcomes in an Accelerated 3-Year MD Pathway Program.

    Cangiarella, Joan / Eliasz, Kinga / Kalet, Adina / Cohen, Elisabeth / Abramson, Steven / Gillespie, Colleen

    Journal of graduate medical education

    2022  Volume 14, Issue 1, Page(s) 99–107

    Abstract: Background: Little outcome data exist on 3-year MD (3YMD) programs to guide residency program directors (PDs) in deciding whether to select these graduates for their programs.: Objective: To compare performance outcomes of 3YMD and 4-year MD (4YMD) ... ...

    Abstract Background: Little outcome data exist on 3-year MD (3YMD) programs to guide residency program directors (PDs) in deciding whether to select these graduates for their programs.
    Objective: To compare performance outcomes of 3YMD and 4-year MD (4YMD) students at New York University Grossman School of Medicine.
    Methods: In 2020, using the Kirkpatrick 4-level evaluation model, outcomes from 3 graduating cohorts of 3YMD students (2016-2018) were compared with the 4YMD counterparts.
    Results: Descriptive statistics compared outcomes among consented student cohorts: 92% (49 of 53) 3YMD, 87% (399 of 459) 4YMD-G, and 84% (367 of 437) 4YMD-S. Student survey response rates were 93% (14 of 15), 74% (14 of 19), and 89% (17 of 19) from 2016 to 2018. PDs' response rates were 58% (31 of 53, 3YMD) and 51% (225 of 441, 4YMD). Besides age, 3YMD and 4YMD cohorts did not differ significantly in admissions variables. Other than small statistically significant differences in the medicine shelf examination (3YMD mean 74.67, SD 7.81 vs 4YMD-G mean 78.18, SD 7.60;
    Conclusions: Exploratory findings from a single institution suggest that 3YMD students performed similarly to 4YMD students in medical school and the first year of residency.
    MeSH term(s) Child, Preschool ; Educational Measurement ; Humans ; Internship and Residency ; Medicine ; New York ; Schools, Medical ; Students ; Students, Medical
    Language English
    Publishing date 2022-02-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2578612-X
    ISSN 1949-8357 ; 1949-8357
    ISSN (online) 1949-8357
    ISSN 1949-8357
    DOI 10.4300/JGME-D-21-00284.1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Using learning analytics in clinical competency committees: Increasing the impact of competency-based medical education.

    Carney, Patricia A / Sebok-Syer, Stefanie S / Pusic, Martin V / Gillespie, Colleen C / Westervelt, Marjorie / Goldhamer, Mary Ellen J

    Medical education online

    2023  Volume 28, Issue 1, Page(s) 2178913

    Abstract: Graduate medical education (GME) and Clinical Competency Committees (CCC) have been evolving to monitor trainee progression using competency-based medical education principles and outcomes, though evidence suggests CCCs fall short of this goal. ... ...

    Abstract Graduate medical education (GME) and Clinical Competency Committees (CCC) have been evolving to monitor trainee progression using competency-based medical education principles and outcomes, though evidence suggests CCCs fall short of this goal. Challenges include that evaluation data are often incomplete, insufficient, poorly aligned with performance, conflicting or of unknown quality, and CCCs struggle to organize, analyze, visualize, and integrate data elements across sources, collection methods, contexts, and time-periods, which makes advancement decisions difficult. Learning analytics have significant potential to improve competence committee decision making, yet their use is not yet commonplace. Learning analytics (LA) is the interpretation of multiple data sources gathered on trainees to assess academic progress, predict future performance, and identify potential issues to be addressed with feedback and individualized learning plans. What distinguishes LA from other educational approaches is systematic data collection and advanced digital interpretation and visualization to inform educational systems. These data are necessary to: 1) fully understand educational contexts and guide improvements; 2) advance proficiency among stakeholders to make ethical and accurate summative decisions; and 3) clearly communicate methods, findings, and actionable recommendations for a range of educational stakeholders. The ACGME released the third edition CCC Guidebook for Programs in 2020 and the 2021 Milestones 2.0 supplement of the Journal of Graduate Medical Education (JGME Supplement) presented important papers that describe evaluation and implementation features of effective CCCs. Principles of LA underpin national GME outcomes data and training across specialties; however, little guidance currently exists on how GME programs can use LA to improve the CCC process. Here we outline recommendations for implementing learning analytics for supporting decision making on trainee progress in two areas: 1) Data Quality and Decision Making, and 2) Educator Development.
    MeSH term(s) Humans ; Internship and Residency ; Clinical Competence ; Education, Medical, Graduate ; Competency-Based Education ; Learning
    Language English
    Publishing date 2023-03-02
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2052877-2
    ISSN 1087-2981 ; 1087-2981
    ISSN (online) 1087-2981
    ISSN 1087-2981
    DOI 10.1080/10872981.2023.2178913
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Artificial Intelligence Screening of Medical School Applications: Development and Validation of a Machine-Learning Algorithm.

    Triola, Marc M / Reinstein, Ilan / Marin, Marina / Gillespie, Colleen / Abramson, Steven / Grossman, Robert I / Rivera, Rafael

    Academic medicine : journal of the Association of American Medical Colleges

    2023  Volume 98, Issue 9, Page(s) 1036–1043

    Abstract: Purpose: To explore whether a machine-learning algorithm could accurately perform the initial screening of medical school applications.: Method: Using application data and faculty screening outcomes from the 2013 to 2017 application cycles (n = 14, ... ...

    Abstract Purpose: To explore whether a machine-learning algorithm could accurately perform the initial screening of medical school applications.
    Method: Using application data and faculty screening outcomes from the 2013 to 2017 application cycles (n = 14,555 applications), the authors created a virtual faculty screener algorithm. A retrospective validation using 2,910 applications from the 2013 to 2017 cycles and a prospective validation using 2,715 applications during the 2018 application cycle were performed. To test the validated algorithm, a randomized trial was performed in the 2019 cycle, with 1,827 eligible applications being reviewed by faculty and 1,873 by algorithm.
    Results: The retrospective validation yielded area under the receiver operating characteristic (AUROC) values of 0.83, 0.64, and 0.83 and area under the precision-recall curve (AUPRC) values of 0.61, 0.54, and 0.65 for the invite for interview, hold for review, and reject groups, respectively. The prospective validation yielded AUROC values of 0.83, 0.62, and 0.82 and AUPRC values of 0.66, 0.47, and 0.65 for the invite for interview, hold for review, and reject groups, respectively. The randomized trial found no significant differences in overall interview recommendation rates according to faculty or algorithm and among female or underrepresented in medicine applicants. In underrepresented in medicine applicants, there were no significant differences in the rates at which the admissions committee offered an interview (70 of 71 in the faculty reviewer arm and 61 of 65 in the algorithm arm; P = .14). No difference in the rate of the committee agreeing with the recommended interview was found among female applicants (224 of 229 in the faculty reviewer arm and 220 of 227 in the algorithm arm; P = .55).
    Conclusions: The virtual faculty screener algorithm successfully replicated faculty screening of medical school applications and may aid in the consistent and reliable review of medical school applicants.
    MeSH term(s) Humans ; Female ; Artificial Intelligence ; Retrospective Studies ; Schools, Medical ; Algorithms ; Machine Learning
    Language English
    Publishing date 2023-03-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 96192-9
    ISSN 1938-808X ; 1040-2446
    ISSN (online) 1938-808X
    ISSN 1040-2446
    DOI 10.1097/ACM.0000000000005202
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  8. Article ; Online: Longitudinal data support university-based biomedical entrepreneurship education programs.

    Vizgan, Gabriel / Hill-Whilton, Zachary / Achuonjei, Joy / Schweickart, Tucker / Chitale, Sadhana / Gillespie, Colleen / Gold-von Simson, Gabrielle

    Nature biotechnology

    2023  Volume 41, Issue 3, Page(s) 429–431

    MeSH term(s) Humans ; Entrepreneurship ; Universities ; Curriculum
    Language English
    Publishing date 2023-03-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1311932-1
    ISSN 1546-1696 ; 1087-0156
    ISSN (online) 1546-1696
    ISSN 1087-0156
    DOI 10.1038/s41587-023-01701-2
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  9. Article ; Online: Understanding medical student paths to communication skills expertise using latent profile analysis.

    Altshuler, Lisa / Wilhite, Jeffrey A / Hardowar, Khemraj / Crowe, Ruth / Hanley, Kathleen / Kalet, Adina / Zabar, Sondra / Gillespie, Colleen / Ark, Tavinder

    Medical teacher

    2023  Volume 45, Issue 10, Page(s) 1140–1147

    Abstract: Purpose: To describe patterns of clinical communication skills that inform curriculum enhancement and guide coaching of medical students.: Materials and methods: Performance data from 1182 consenting third year medical students in 9 cohorts (2011- ... ...

    Abstract Purpose: To describe patterns of clinical communication skills that inform curriculum enhancement and guide coaching of medical students.
    Materials and methods: Performance data from 1182 consenting third year medical students in 9 cohorts (2011-2019), on a 17-item Clinical Communication Skills Assessment Tool (CCSAT) completed by trained Standardized Patients as part of an eight case high stakes Comprehensive Clinical Skills Exam (CCSE) were analyzed using latent profile analysis (LPA). Assessment domains included: information gathering (6 items), relationship development (5 items), patient education (3 items), and organization/time management (3 items). LPA clustered learners with similar strength/weakness into profiles based on item response patterns across cases. One-way analysis of variance (ANOVA) assessed for significant differences by profile for CCSAT items.
    Results: Student performance clustered into six profiles in three groups, high performing (HP1 and HP2-Low Patient Education, 15.7%), average performing (AP1 and AP2-Interrupters, 40.9%), and lower performing profiles (LP1-Non-interrupters and LP2, 43.4%) with adequate model fit estimations and similar distribution in each cohort. We identified 3 CCSAT items that discriminated among learner's skill profiles.
    Conclusion: Clinical communication skill performance profiles provide nuanced, benchmarked guidance for curriculum improvement and tailoring of communication skills coaching.
    MeSH term(s) Humans ; Education, Medical, Undergraduate ; Students, Medical ; Curriculum ; Communication ; Clinical Competence
    Language English
    Publishing date 2023-03-24
    Publishing country England
    Document type Journal Article
    ZDB-ID 424426-6
    ISSN 1466-187X ; 0142-159X
    ISSN (online) 1466-187X
    ISSN 0142-159X
    DOI 10.1080/0142159X.2023.2193303
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  10. Article ; Online: Using Unannounced Standardized Patients to Assess Clinician Telehealth and Communication Skills at an Urban Student Health Center.

    Phillips, Zoe / Mitsumoto, Jun / Fisher, Harriet / Wilhite, Jeffrey / Hardowar, Khemraj / Robertson, Virginia / Paige, Joquetta / Shahroudi, Julie / Albert, Sharon / Li, Jacky / Hanley, Kathleen / Gillespie, Colleen / Altshuler, Lisa / Zabar, Sondra

    The Journal of adolescent health : official publication of the Society for Adolescent Medicine

    2024  Volume 74, Issue 5, Page(s) 1033–1038

    Abstract: Purpose: As the COVID-19 pandemic forced most colleges and universities to go online, student health centers rapidly shifted to telehealth platforms without frameworks for virtual care provision. An urban student health center implemented a needs ... ...

    Abstract Purpose: As the COVID-19 pandemic forced most colleges and universities to go online, student health centers rapidly shifted to telehealth platforms without frameworks for virtual care provision. An urban student health center implemented a needs assessment involving unannounced standardized patients (USPs) to evaluate the integration of a new telehealth workflow and clinicians' virtual communication skills.
    Methods: From April to May 2021, USPs conducted two video visits with 12 primary care and four women's health clinicians (N = 16 clinicians; 32 visits). Cases included (1) a 21-year-old female presenting for birth control with a positive Patient Health Questionaire-9 and (2) a 21-year-old male, who vapes regularly, with questions regarding safe sex with men. Clinicians were evaluated using a checklist completed by the USP immediately following the visit and a systematic chart review of the electronic health record.
    Results: USP feedback indicates most clinicians received high ratings for general communication skills but may benefit from educational intervention in several key telemedicine skills. Clinicians struggled with using nonverbal signals to enrich communication (47% well done), acknowledging emotions (34% well done), and using video for information gathering (34% well done). Low rates of standard screenings (e.g., 63% administered the PHQ-2, <50% asked about alcohol use) suggested protocols for in-person care were not easily incorporated into telehealth practices, and clinicians may benefit from enhanced care team support. Performance reports were shared with clinicians and leadership postvisit.
    Discussion: Results suggest project design and implementation is scalable and feasible for use at other institutions, offering a structured methodology that can improve general student health care.
    MeSH term(s) Male ; Humans ; Female ; Young Adult ; Adult ; Pandemics/prevention & control ; Telemedicine ; COVID-19 ; Students ; Communication
    Language English
    Publishing date 2024-03-01
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 1063374-1
    ISSN 1879-1972 ; 1054-139X
    ISSN (online) 1879-1972
    ISSN 1054-139X
    DOI 10.1016/j.jadohealth.2024.01.014
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