Literature DB >> 35860324

The SHOnet learning health system: Infrastructure for continuous learning in pediatric rehabilitation.

Nikolas Koscielniak1, Diane Jenkins2, Sahar Hassani3, Cathleen Buckon4, Joshua S Tucker5, Susan Sienko4, Carole A Tucker6.   

Abstract

Introduction: To describe the development and implementation of learning health system (LHS) infrastructure for a pediatric specialty care health system to support LHS research in pediatric rehabilitation settings.
Methods: An existing pediatric common data model (eg, PEDSnet) of standardized medical terminologies for research was expanded and leveraged for this stud, and applied to SHOnet, a clinical research data resource consisting of deidentified data extracted from the electronic health record (EHR) from the Shriners Hospitals for Children speacialty pediatric health care system. We mapped EHR data for laboratory, procedures, drugs, and conditions to standardized vocabularies including ICD-10, CPT, RxNorm, and LOINC to the common data model using an established extraction-transformation-loading process. Rigorous quality checks were conducted to ensure a high degree of data conformance, completeness, and plausibility. SHOnet data elements from all sources are de-identified and the server is managed by the SHC Information Systems Department. SHOnet data are refreshed monthly and data elements are continually expanded based on new research endeavors. Interventions: Not applicable.
Results: The Shriners Health Outcomes Network (SHOnet) includes data for over 10 000 distinct observational data elements based on over two million patient encounters between 2011 and present.
Conclusion: The systematic process to develop SHOnet is replicable and flexible for other pediatric rehabilitation research settings interested in building out their LHS capabilities. Challenges and facilitators may arise for building such LHS infrastructure for rehabilitation in areas of (a) data capture, curation, query, and governance, (b) generating knowledge from data, and (c) dissemination and implementation of new institutional knowledge. Further research studies are needed to evaluate these data resources for scalable system-learning endeavors.SHOnet is an exemplar of an LHS for rehabilitation and specialty care settings. The success of an LHS is dependent on engagement of multiple stakeholders, shared governance, effective knowledge translation, and deep commitment to long-term strategies for engaging clinicians, administration, and families in leveraging knowledge to improve clinical outcomes.
© 2022 The Authors. Learning Health Systems published by Wiley Periodicals LLC on behalf of the University of Michigan.

Entities:  

Keywords:  health informatics; infrastructure; learning health systems; quality improvement

Year:  2022        PMID: 35860324      PMCID: PMC9284925          DOI: 10.1002/lrh2.10305

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


  40 in total

1.  Advancing the science for active surveillance: rationale and design for the Observational Medical Outcomes Partnership.

Authors:  Paul E Stang; Patrick B Ryan; Judith A Racoosin; J Marc Overhage; Abraham G Hartzema; Christian Reich; Emily Welebob; Thomas Scarnecchia; Janet Woodcock
Journal:  Ann Intern Med       Date:  2010-11-02       Impact factor: 25.391

Review 2.  The Learning Healthcare System: Where are we now? A systematic review.

Authors:  Andrius Budrionis; Johan Gustav Bellika
Journal:  J Biomed Inform       Date:  2016-09-28       Impact factor: 6.317

3.  The National Neurosurgery Quality and Outcomes Database and NeuroPoint Alliance: rationale, development, and implementation.

Authors:  Anthony L Asher; Paul C McCormick; Nathan R Selden; Zoher Ghogawala; Matthew J McGirt
Journal:  Neurosurg Focus       Date:  2013-01       Impact factor: 4.047

4.  Integrating Patient-Reported Outcomes into Spine Surgical Care through Visual Dashboards: Lessons Learned from Human-Centered Design.

Authors:  Andrea L Hartzler; Shomir Chaudhuri; Brett C Fey; David R Flum; Danielle Lavallee
Journal:  EGEMS (Wash DC)       Date:  2015-03-13

5.  Toward a science of learning systems: a research agenda for the high-functioning Learning Health System.

Authors:  Charles Friedman; Joshua Rubin; Jeffrey Brown; Melinda Buntin; Milton Corn; Lynn Etheredge; Carl Gunter; Mark Musen; Richard Platt; William Stead; Kevin Sullivan; Douglas Van Houweling
Journal:  J Am Med Inform Assoc       Date:  2014-10-23       Impact factor: 4.497

6.  A maturity grid assessment tool for learning networks.

Authors:  Carole Lannon; Christine L Schuler; Michael Seid; Lloyd P Provost; Sandra Fuller; David Purcell; Christopher B Forrest; Peter A Margolis
Journal:  Learn Health Syst       Date:  2020-06-26

7.  Pediatric-Collaborative Health Outcomes Information Registry (Peds-CHOIR): a learning health system to guide pediatric pain research and treatment.

Authors:  Rashmi P Bhandari; Amanda B Feinstein; Samantha E Huestis; Elliot J Krane; Ashley L Dunn; Lindsey L Cohen; Ming C Kao; Beth D Darnall; Sean C Mackey
Journal:  Pain       Date:  2016-09       Impact factor: 7.926

8.  The Greater Plains Collaborative: a PCORnet Clinical Research Data Network.

Authors:  Lemuel R Waitman; Lauren S Aaronson; Prakash M Nadkarni; Daniel W Connolly; James R Campbell
Journal:  J Am Med Inform Assoc       Date:  2014-04-28       Impact factor: 4.497

9.  PaTH: towards a learning health system in the Mid-Atlantic region.

Authors:  Waqas Amin; Fuchiang Rich Tsui; Charles Borromeo; Cynthia H Chuang; Jeremy U Espino; Daniel Ford; Wenke Hwang; Wishwa Kapoor; Harold Lehmann; G Daniel Martich; Sally Morton; Anuradha Paranjape; William Shirey; Aaron Sorensen; Michael J Becich; Rachel Hess
Journal:  J Am Med Inform Assoc       Date:  2014-05-12       Impact factor: 4.497

10.  Scalable Collaborative Infrastructure for a Learning Healthcare System (SCILHS): architecture.

Authors:  Kenneth D Mandl; Isaac S Kohane; Douglas McFadden; Griffin M Weber; Marc Natter; Joshua Mandel; Sebastian Schneeweiss; Sarah Weiler; Jeffrey G Klann; Jonathan Bickel; William G Adams; Yaorong Ge; Xiaobo Zhou; James Perkins; Keith Marsolo; Elmer Bernstam; John Showalter; Alexander Quarshie; Elizabeth Ofili; George Hripcsak; Shawn N Murphy
Journal:  J Am Med Inform Assoc       Date:  2014-05-12       Impact factor: 4.497

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