ArticleJournal of medical Internet research2008
SOMWeb: a semantic web-based system for supporting collaboration of distributed medical communities of practice.
Article in Journal of medical Internet research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The aims and effectiveness of communities of practice in healthcare: A systematic review.PloS one · 2023Pooled it
- Semantic Web in Healthcare: A Systematic Literature Review of Application, Research Gap, and Future Research Avenues.International journal of clinical practice · 2022Pooled it
- Exploring value creation in a virtual community of practice: a framework analysis for knowledge and skills development among primary care professionals.BMC medical education · 2024Article
- Machine and cognitive intelligence for human health: systematic review.Brain informatics · 2022Review
- XML Data and Knowledge-Encoding Structure for a Web-Based and Mobile Antenatal Clinical Decision Support System: Development Study.JMIR formative research · 2020Article
- Quantifying Use of a Health Virtual Community of Practice for General Practitioners' Continuing Professional Development: A Novel Methodology and Pilot Evaluation.Journal of medical Internet research · 2019Article
- An Approach to Share Self-Taught Knowledge between Home IoT Devices at the Edge.Sensors (Basel, Switzerland) · 2019Article
- Oncology communities of practice: insights from a qualitative analysis.Current oncology (Toronto, Ont.) · 2018Article
- Competing for space in an already crowded market: a mixed methods study of why an online community of practice (CoP) for alcohol harm reduction failed to generate interest amongst the group of public health professionals at which it was aimed.Implementation science : IS · 2017Article
- Virtual communities of practice: can they support the prevention agenda in public health?Online journal of public health informatics · 2015Article
- Are dentists interested in the oral-systemic disease connection? A qualitative study of an online community of 450 practitioners.BMC oral health · 2013Article
- A web-based data-querying tool based on ontology-driven methodology and flowchart-based model.JMIR medical informatics · 2013Article
- General practice training and virtual communities of practice - a review of the literature.BMC family practice · 2012Review
- Using natural language processing to enable in-depth analysis of clinical messages posted to an Internet mailing list: a feasibility study.Journal of medical Internet research · 2011Article
- Medicine 2.0: social networking, collaboration, participation, apomediation, and openness.Journal of medical Internet research · 2008Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInformation technology (IT) support for remote collaboration of geographically distributed communities of practice (CoP) in health care must deal with a number of sociotechnical aspects of communication within the community. In the mid-1990s, participants of the Swedish Oral Medicine Network (SOMNet) began discussing patient cases in telephone conferences. The cases were distributed prior to the conferences using PowerPoint and email. For the technical support of online CoP, Semantic Web technologies can potentially fulfill needs of knowledge reuse, data exchange, and reasoning based on ontologies. However, more research is needed on the use of Semantic Web technologies in practice.
objectivesThe objectives of this research were to (1) study the communication of distributed health care professionals in oral medicine; (2) apply Semantic Web technologies to describe community data and oral medicine knowledge; (3) develop an online CoP, Swedish Oral Medicine Web (SOMWeb), centered on user-contributed case descriptions and meetings; and (4) evaluate SOMWeb and study how work practices change with IT support.
methodsBased on Java, and using the Web Ontology Language and Resource Description Framework for handling community data and oral medicine knowledge, SOMWeb was developed using a user-centered and iterative approach. For studying the work practices and evaluating the system, a mixed-method approach of interviews, observations, and a questionnaire was used.
resultsBy May 2008, there were 90 registered users of SOMWeb, 93 cases had been added, and 18 meetings had utilized the system. The introduction of SOMWeb has improved the structure of meetings and their discussions, and a tenfold increase in the number of participants has been observed. Users submit cases to seek advice on diagnosis or treatment, to show an unusual case, or to create discussion. Identified barriers to submitting cases are lack of time, concern about whether the case is interesting enough, and showing gaps in one's own knowledge. Three levels of member participation are discernable: a core group that contributes most cases and most meeting feedback; an active group that participates often but only sometimes contribute cases and feedback; and a large peripheral group that seldom or never contribute cases or feedback.
conclusionsSOMWeb is beneficial for individual clinicians as well as for the SOMNet community. The system provides an opportunity for its members to share both high quality clinical practice knowledge and external evidence related to complex oral medicine cases. The foundation in Semantic Web technologies enables formalization and structuring of case data that can be used for further reasoning and research. Main success factors are the long history of collaboration between different disciplines, the user-centered development approach, the existence of a "champion" within the field, and nontechnical community aspects already being in place.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.