Literature DB >> 27222734

Why decision support systems are important for medical education.

Stathis Th Konstantinidis1, Panagiotis D Bamidis2.   

Abstract

During the last decades, the inclusion of digital tools in health education has rapidly lead to a continuously enlarging digital era. All the online interactions between learners and tutors, the description, creation, reuse and sharing of educational digital resources and the interlinkage between them in conjunction with cheap storage technology has led to an enormous amount of educational data. Medical education is a unique type of education due to accuracy of information needed, continuous changing competences required and alternative methods of education used. Nowadays medical education standards provide the ground for organising the educational data and the paradata. Analysis of such education data through education data mining techniques is in its infancy, but decision support systems (DSSs) for medical education need further research. To the best of our knowledge, there is a gap and a clear need for identifying the challenges for DSSs in medical education in the era of medical education standards. Thus, in this Letter the role and the attributes of such a DSS for medical education are delineated and the challenges and vision for future actions are identified.

Entities:  

Keywords:  DSS attributes; DSS role; biomedical education; cheap storage technology; decision support systems; digital tools; education data mining techniques; educational digital resources; health education; medical education

Year:  2016        PMID: 27222734      PMCID: PMC4814870          DOI: 10.1049/htl.2015.0057

Source DB:  PubMed          Journal:  Healthc Technol Lett        ISSN: 2053-3713


  10 in total

Review 1.  Experience in the use of social media in medical and health education. Contribution of the IMIA Social Media Working Group.

Authors:  C Paton; P D Bamidis; G Eysenbach; M Hansen; M Cabrer
Journal:  Yearb Med Inform       Date:  2011

2.  Shared decision-making and evidence-based practice.

Authors:  Jared R Adams; Robert E Drake
Journal:  Community Ment Health J       Date:  2006-02

3.  Applying Semantic Web technologies to improve the retrieval, credibility and use of health-related web resources.

Authors:  Miguel A Mayer; Pythagoras Karampiperis; Antonis Kukurikos; Vangelis Karkaletsis; Kostas Stamatakis; Dagmar Villarroel; Angela Leis
Journal:  Health Informatics J       Date:  2011-06       Impact factor: 2.681

4.  Medical education and decision-support systems.

Authors:  James B Lewis; Kathryn Ryder
Journal:  Virtual Mentor       Date:  2011-03-01

5.  The role of taxonomies in social media and the semantic web for health education. A study of SNOMED CT terms in YouTube health video tags.

Authors:  S Konstantinidis; L Fernandez-Luque; P Bamidis; R Karlsen
Journal:  Methods Inf Med       Date:  2013-02-28       Impact factor: 2.176

Review 6.  Clinical Decision Support Systems and Prevention: A Community Guide Cardiovascular Disease Systematic Review.

Authors:  Gibril J Njie; Krista K Proia; Anilkrishna B Thota; Ramona K C Finnie; David P Hopkins; Starr M Banks; David B Callahan; Nicolaas P Pronk; Kimberly J Rask; Daniel T Lackland; Thomas E Kottke
Journal:  Am J Prev Med       Date:  2015-11       Impact factor: 5.043

7.  A Proposed Framework to Enrich Norwegian EHR System with Health-trusted Information for Patients and Professionals.

Authors:  Stathis Th Konstantinidis; Per Egil Kummervold; Luis Fernandez Luque; Lars Kristian Vognild
Journal:  Stud Health Technol Inform       Date:  2015

8.  Medicine 2.0: social networking, collaboration, participation, apomediation, and openness.

Authors:  Gunther Eysenbach
Journal:  J Med Internet Res       Date:  2008-08-25       Impact factor: 5.428

Review 9.  Adoption of clinical decision support in multimorbidity: a systematic review.

Authors:  Paolo Fraccaro; Mercedes Arguello Casteleiro; John Ainsworth; Iain Buchan
Journal:  JMIR Med Inform       Date:  2015-01-07

10.  Medical Content Searching, Retrieving, and Sharing Over the Internet: Lessons Learned From the mEducator Through a Scenario-Based Evaluation.

Authors:  Athos Antoniades; Iolie Nicolaidou; Dimitris Spachos; Jarkko Mylläri; Daniela Giordano; Eleni Dafli; Evangelia Mitsopoulou; Christos N Schizas; Constantinos Pattichis; Maria Nikolaidou; Panagiotis Bamidis
Journal:  J Med Internet Res       Date:  2015-10-09       Impact factor: 5.428

  10 in total
  3 in total

1.  Curricular integration of virtual patients: a unifying perspective of medical teachers and students.

Authors:  Eleni Dafli; Ioannis Fountoukidis; Chariklia Hatzisevastou-Loukidou; Panagiotis D Bamidis
Journal:  BMC Med Educ       Date:  2019-11-09       Impact factor: 2.463

2.  Health Care Staff's Experiences of Engagement When Introducing a Digital Decision Support System for Wound Management: Qualitative Study.

Authors:  Hanna Wickström; Hanna Tuvesson; Rut Öien; Patrik Midlöv; Cecilia Fagerström
Journal:  JMIR Hum Factors       Date:  2020-12-09

3.  Still engaged - healthcare staff's engagement when introducing a new eHealth solution for wound management: a qualitative study.

Authors:  Cecilia Fagerström; Hanna Wickström; Hanna Tuvesson
Journal:  BMC Health Serv Res       Date:  2022-01-25       Impact factor: 2.655

  3 in total

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