Literature DB >> 36263262

The Texas Health Resources Clinical Scholars Program: Learning healthcare system workforce development through embedded translational research.

Andrew L Masica1, Ferdinand Velasco1, Tanna L Nelson1, Richard J Medford2,3, Amy E Hughes4, Ambarish Pandey5, Eric D Peterson5, Christoph U Lehmann3,6.   

Abstract

Introduction: Texas Health Resources (THR), a large, nonprofit health care system based in the Dallas-Fort Worth area, has collaborated with the University of Texas Southwestern Medical Center (UTSW) to develop and operate a unique, integrated approach for Learning Health System (LHS) workforce development. This training model centers on academic health system faculty members conducting later-stage translational research within a partnering regional care delivery organization.
Methods: The THR Clinical Scholars Program engages early career UTSW faculty members to conduct studies that are likely to have an impact on care delivery at the health system level. Interested candidates submit formal applications to the program. A joint committee comprised of senior research faculty from UTSW and THR clinical leadership reviews proposals with a focus on the shared LHS needs of both institutions-developing high quality research output that can be applied to enhance care delivery. A key prioritization criterion for funding is the degree to which the research addresses a question relevant to THR as a high-volume network with multiple channels for consumers to access care. The program emphasis is on supporting embedded research initiatives using health system data to generate knowledge that will improve the quality and efficiency of care for the patient populations served by the participant organizations.
Results: We discuss specific strategic and tactical components of the THR Clinical Scholars Program including an overview of the academic affiliation agreement between the collaborating organizations, criteria for successful program applications, data sharing, and funding. We also share project summaries from selected clinical scholars as examples of the LHS research done in the program to date.
Conclusion: This experience report provides an implementation framework for other academic health systems interested in adopting similar LHS workforce training models with community partners.
© 2022 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of University of Michigan.

Entities:  

Keywords:  academic affiliation; delivery system science; learning health system; translational research; workforce training

Year:  2022        PMID: 36263262      PMCID: PMC9576247          DOI: 10.1002/lrh2.10332

Source DB:  PubMed          Journal:  Learn Health Syst        ISSN: 2379-6146


  24 in total

1.  Clinical Informatics Board Specialty Certification for Physicians: A Global View.

Authors:  Adi V Gundlapalli; Aditya V Gundlapalli; William W Greaves; Denece Kesler; Peter Murray; Charles Safran; Christoph U Lehmann
Journal:  Stud Health Technol Inform       Date:  2015

Review 2.  The Chief Clinical Informatics Officer (CCIO): AMIA Task Force Report on CCIO Knowledge, Education, and Skillset Requirements.

Authors:  Joseph Kannry; Patricia Sengstack; Thankam Paul Thyvalikakath; John Poikonen; Blackford Middleton; Thomas Payne; Christoph U Lehmann
Journal:  Appl Clin Inform       Date:  2016-03-16       Impact factor: 2.342

3.  Incorporation of natriuretic peptides with clinical risk scores to predict heart failure among individuals with dysglycaemia.

Authors:  Matthew W Segar; Muhammad Shahzeb Khan; Kershaw V Patel; Muthiah Vaduganathan; Vaishnavi Kannan; Duwayne Willett; Eric Peterson; W H Wilson Tang; Javed Butler; Brendan M Everett; Gregg C Fonarow; Thomas J Wang; Darren K McGuire; Ambarish Pandey
Journal:  Eur J Heart Fail       Date:  2021-11-23       Impact factor: 15.534

4.  Formerly Homeless People Had Lower Overall Health Care Expenditures After Moving Into Supportive Housing.

Authors:  Bill J Wright; Keri B Vartanian; Hsin-Fang Li; Natalie Royal; Jennifer K Matson
Journal:  Health Aff (Millwood)       Date:  2016-01       Impact factor: 6.301

5.  Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score.

Authors:  Matthew W Segar; Muthiah Vaduganathan; Kershaw V Patel; Darren K McGuire; Javed Butler; Gregg C Fonarow; Mujeeb Basit; Vaishnavi Kannan; Justin L Grodin; Brendan Everett; Duwayne Willett; Jarett Berry; Ambarish Pandey
Journal:  Diabetes Care       Date:  2019-09-13       Impact factor: 19.112

6.  Building a Learning Health System: Creating an Analytical Workflow for Evidence Generation to Inform Institutional Clinical Care Guidelines.

Authors:  Dev Dash; Arjun Gokhale; Birju S Patel; Alison Callahan; Jose Posada; Gomathi Krishnan; William Collins; Ron Li; Kevin Schulman; Lily Ren; Nigam H Shah
Journal:  Appl Clin Inform       Date:  2022-03-02       Impact factor: 2.342

Review 7.  How exposure to environmental tobacco smoke, outdoor air pollutants, and increased pollen burdens influences the incidence of asthma.

Authors:  M Ian Gilmour; Maritta S Jaakkola; Stephanie J London; Andre E Nel; Christine A Rogers
Journal:  Environ Health Perspect       Date:  2006-04       Impact factor: 9.031

8.  Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis.

Authors: 
Journal:  Lancet       Date:  2022-01-19       Impact factor: 202.731

9.  Managing Pandemics with Health Informatics: Successes and Challenges.

Authors:  Mujeeb A Basit; Christoph U Lehmann; Richard J Medford
Journal:  Yearb Med Inform       Date:  2021-04-21

Review 10.  Scientific statement: Socioecological determinants of prediabetes and type 2 diabetes.

Authors:  James O Hill; James M Galloway; April Goley; David G Marrero; Regan Minners; Brenda Montgomery; Gregory E Peterson; Robert E Ratner; Eduardo Sanchez; Vanita R Aroda
Journal:  Diabetes Care       Date:  2013-06-20       Impact factor: 19.112

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