Toward an ontology of collaborative learning healthcare systems
dc.contributor.author | Vinson, Alexandra H. | |
dc.contributor.author | Seid, Michael | |
dc.contributor.author | Gamel, Breck | |
dc.contributor.author | Saeed, Shehzad | |
dc.contributor.author | Fureman, Brandy | |
dc.contributor.author | Cronin, Susan C. | |
dc.contributor.author | Bates, Katherine | |
dc.contributor.author | Hartley, David | |
dc.date.accessioned | 2022-08-02T18:59:05Z | |
dc.date.available | 2023-08-02 14:59:04 | en |
dc.date.available | 2022-08-02T18:59:05Z | |
dc.date.issued | 2022-07 | |
dc.identifier.citation | Vinson, Alexandra H.; Seid, Michael; Gamel, Breck; Saeed, Shehzad; Fureman, Brandy; Cronin, Susan C.; Bates, Katherine; Hartley, David (2022). "Toward an ontology of collaborative learning healthcare systems." Learning Health Systems 6(3): n/a-n/a. | |
dc.identifier.issn | 2379-6146 | |
dc.identifier.issn | 2379-6146 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/173143 | |
dc.description.abstract | ObjectiveTo establish a basis for a domain ontology - a formal, explicit specification of a shared conceptualization - of collaborative learning healthcare systems (CLHSs) in order to facilitate measurement, explanation, and improvement.MethodsWe adapted the “Methontology” approach to begin building an ontology of CLHSs. We specified the purpose of an ontology, acquired domain knowledge via literature review, conceptualized a common framework of CLHSs using a grounded approach, refined these concepts based on expert panel input, and illustrated concept application via four cases.ResultsThe set of concepts identified as important to include in an ontology includes goals, values, structure, actors, environment, and products. To establish this set of concepts, we gathered input from content experts in two ways. First, expert panel methods were used to elicit feedback on these concepts and to test the elicitation of terms for the vocabulary of the Values concept. Second, from these discussions we developed a mapping exercise to test the intuitiveness of the concepts, requesting that network leaders from four CLHSs complete a mapping exercise to associate characteristics of their networks with the high-level concepts, building the vocabulary for each concept in a grounded fashion. We also solicited feedback from these participants on the experience of completing the mapping exercise, finding that the exercise is acceptable and could aid in CLHS development and collaboration. Respondents identified opportunities to improve the operational definitions of each concept to ensure that corresponding vocabularies are distinct and non-overlapping.DiscussionOur results provide a foundation for developing a formal, explicit shared conceptualization of CLHSs. Once developed, such a tool can be useful for measurement, explanation, and improvement. Further work, including alignment to a top-level ontology, expanding the vocabulary, and defining relations between vocabulary is required to formally build out an ontology for these uses. | |
dc.publisher | National Academies Press | |
dc.publisher | Wiley Periodicals, Inc. | |
dc.subject.other | ontology | |
dc.subject.other | collaborative learning health system | |
dc.subject.other | learning networks | |
dc.title | Toward an ontology of collaborative learning healthcare systems | |
dc.type | Article | |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Biomedical Health Sciences | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/173143/1/lrh210306.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/173143/2/lrh210306_am.pdf | |
dc.identifier.doi | 10.1002/lrh2.10306 | |
dc.identifier.source | Learning Health Systems | |
dc.identifier.citedreference | Institute of Medicine Roundtable on Evidence-Based Medicine. In: Olsen LA, Aisner D, McGinnis JM, eds. The Learning Healthcare System: Workshop Summary. Washington, DC: National Academies Press; 2007. | |
dc.identifier.citedreference | Britto MT, Fuller SC, Kaplan HC, et al. Using a network organisational architecture to support the development of Learning Healthcare Systems. BMJ Qual Saf. 2018; 27 ( 11 ): 937 - 946. | |
dc.identifier.citedreference | Noy NF & McGuinness DL Ontology Development 101: A Guide to Creating Your First Ontology. Knowledge Systems Laboratory Technical Report KSL-01-05, Stanford University. p. 25; 2001. | |
dc.identifier.citedreference | Fernandez MA, Gomez-Perez A, Juristo N. Methontology: From Ontological Art Towards Ontological Engineering. Proceedings of the Ontological Engineering AAAI-97 Spring Symposium Series, 24-26 March 1997, Stanford University, EEUU; 1997. | |
dc.identifier.citedreference | Hartley DM, Keck C, Havens M, Margolis PA, Seid M. Measuring engagement in a collaborative learning health system: the case of ImproveCareNow. Learn Health Syst. 2020; 5: e10225. doi: 10.1002/lrh2.10225 | |
dc.identifier.citedreference | Lannon C, Schuler CL, Seid M, et al. A maturity grid assessment tool for learning networks. Learn Health Syst. 2020; 5: e10232. doi: 10.1002/lrh2.10232 | |
dc.identifier.citedreference | Fjeldstad ØD, Snow CC, Miles RE, Lettl C. The architecture of collaboration. Strat Manage J. 2012; 33: 734 - 750. doi: 10.1002/smj.1968 | |
dc.identifier.citedreference | Seid M, Hartley DM, Dellal G, Myers S, Margolis PA. Organizing for collaboration: an actor-oriented architecture in ImproveCareNow. Learn Health Syst. 2020; 4: e10205. doi: 10.1002/lrh2.10205 | |
dc.identifier.citedreference | Studer R, Benjamins R, Fensel D. Knowledge engineering: principles and methods. Data Knowl Eng. 1998; 25 ( 1–2 ): 161 - 198. | |
dc.identifier.citedreference | Donovan EF, Lannon C, Bailit J, et al; Ohio Perinatal Quality Collaborative Writing Committee. A statewide initiative to reduce inappropriate scheduled births at 36(0/7)-38(6/7) weeks’ gestation. Am J Obstet Gynecol. 2010; 202 ( 3 ): 243.e1 - 243.e8. | |
dc.identifier.citedreference | Crandall WV, Margolis PA, Kappelman MD, et al; ImproveCareNow Collaborative. Improved outcomes in a quality improvement collaborative for pediatric inflammatory bowel disease. Pediatrics. 2012; 129 ( 4 ): e1030 - e1041. | |
dc.identifier.citedreference | Anderson JB, Beekman RH 3rd, Kugler JD, et al; National Pediatric Cardiology Quality Improvement Collaborative. Improvement in Interstage Survival in a National Pediatric Cardiology Learning Network. Circ Cardiovasc Qual Outcomes. 2015; 8 ( 4 ): 428 - 436. | |
dc.identifier.citedreference | Arp R, Smith B, Spear AD. Building Ontologies with Basic Formal Ontology. Cambridge, MA: MIT Press; 2015. | |
dc.identifier.citedreference | Vinson AH. Culture as infrastructure in learning health systems. Learn Health Syst. 2021; 5 ( 3 ): e10267. doi: 10.1002/lrh2.10267 | |
dc.identifier.citedreference | Seid M, Hartley DM, Margolis PA. A science of collaborative learning health systems. Learn Health Syst. 2021; 5 ( 3 ): e10278. doi: 10.1002/lrh2.10278 | |
dc.identifier.citedreference | Kaplan HC, Provost LP, Froehle CM, Margolis PA. The Model for Understanding Success in Quality (MUSIQ): building a theory of context in healthcare quality improvement. BMJ Qual Safety. 2012; 21 ( 1 ): 13 - 20. doi: 10.1136/bmjqs-2011-000010 | |
dc.working.doi | NO | en |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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