A Call to Investigate the Relationship Between Education and Health Outcomes Using Big Data. (June 2018)
- Record Type:
- Journal Article
- Title:
- A Call to Investigate the Relationship Between Education and Health Outcomes Using Big Data. (June 2018)
- Main Title:
- A Call to Investigate the Relationship Between Education and Health Outcomes Using Big Data
- Authors:
- Chahine, Saad
Kulasegaram, Kulamakan (Mahan)
Wright, Sarah
Monteiro, Sandra
Grierson, Lawrence E. M.
Barber, Cassandra
Sebok-Syer, Stefanie S.
McConnell, Meghan
Yen, Wendy
De Champlain, Andre
Touchie, Claire - Abstract:
- Abstract : There exists an assumption that improving medical education will improve patient care. While seemingly logical, this premise has rarely been investigated. In this Invited Commentary, the authors propose the use of big data to test this assumption. The authors present a few example research studies linking education and patient care outcomes and argue that using big data may more easily facilitate the process needed to investigate this assumption. The authors also propose that collaboration is needed to link educational and health care data. They then introduce a grassroots initiative, inclusive of universities in one Canadian province and national licensing organizations that are working together to collect, organize, link, and analyze big data to study the relationship between pedagogical approaches to medical training and patient care outcomes. While the authors acknowledge the possible challenges and issues associated with harnessing big data, they believe that the benefits supersede these. There is a need for medical education research to go beyond the outcomes of training to study practice and clinical outcomes as well. Without a coordinated effort to harness big data, policy makers, regulators, medical educators, and researchers are left with sometimes costly guesses and assumptions about what works and what does not. As the social, time, and financial investments in medical education continue to increase, it is imperative to understand the relationshipAbstract : There exists an assumption that improving medical education will improve patient care. While seemingly logical, this premise has rarely been investigated. In this Invited Commentary, the authors propose the use of big data to test this assumption. The authors present a few example research studies linking education and patient care outcomes and argue that using big data may more easily facilitate the process needed to investigate this assumption. The authors also propose that collaboration is needed to link educational and health care data. They then introduce a grassroots initiative, inclusive of universities in one Canadian province and national licensing organizations that are working together to collect, organize, link, and analyze big data to study the relationship between pedagogical approaches to medical training and patient care outcomes. While the authors acknowledge the possible challenges and issues associated with harnessing big data, they believe that the benefits supersede these. There is a need for medical education research to go beyond the outcomes of training to study practice and clinical outcomes as well. Without a coordinated effort to harness big data, policy makers, regulators, medical educators, and researchers are left with sometimes costly guesses and assumptions about what works and what does not. As the social, time, and financial investments in medical education continue to increase, it is imperative to understand the relationship between education and health outcomes. … (more)
- Is Part Of:
- Academic medicine. Volume 93:Number 6(2018)
- Journal:
- Academic medicine
- Issue:
- Volume 93:Number 6(2018)
- Issue Display:
- Volume 93, Issue 6 (2018)
- Year:
- 2018
- Volume:
- 93
- Issue:
- 6
- Issue Sort Value:
- 2018-0093-0006-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-06
- Subjects:
- Medical education -- Periodicals
Medical policy -- Periodicals
Medical personnel -- Periodicals
Periodicals
610.711 - Journal URLs:
- http://gateway.ovid.com/ovidweb.cgi?T=JS&MODE=ovid&PAGE=toc&D=ovft&AN=00001888-000000000-00000 ↗
http://www.academicmedicine.org ↗
http://www.academicmedicine.org/contents-by-date.0.shtml ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/ACM.0000000000002217 ↗
- Languages:
- English
- ISSNs:
- 1040-2446
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0570.513500
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