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Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE).
Elbers, Danne C; Fillmore, Nathanael R; La, Jennifer; Tosi, Hannah M; Ajjarapu, Samuel; Dhond, Rupali; Murray, Karen; Valley, Danielle; Shannon, Colleen; Brophy, Mary T; Do, Nhan V.
Affiliation
  • Elbers DC; VA Boston Healthcare System, Boston MA, USA.
  • Fillmore NR; Harvard Medical School, Boston MA, USA.
  • La J; VA Boston Healthcare System, Boston MA, USA.
  • Tosi HM; Harvard Medical School, Boston MA, USA.
  • Ajjarapu S; VA Boston Healthcare System, Boston MA, USA.
  • Dhond R; VA Boston Healthcare System, Boston MA, USA.
  • Murray K; VA Boston Healthcare System, Boston MA, USA.
  • Valley D; Harvard Medical School, Boston MA, USA.
  • Shannon C; VA Boston Healthcare System, Boston MA, USA.
  • Brophy MT; Boston University School of Medicine, Boston MA, USA.
  • Do NV; VA Boston Healthcare System, Boston MA, USA.
Stud Health Technol Inform ; 310: 1131-1135, 2024 Jan 25.
Article in En | MEDLINE | ID: mdl-38269991
ABSTRACT
In this manuscript, we outline our developed version of a Learning Health System (LHS) in oncology implemented at the Department of Veterans Affairs (VA). Transferring healthcare into an LHS framework has been one of the spearpoints of VA's Central Office and given the general lack of evidence generated through randomized control clinical trials to guide medical decisions in oncology, this domain is one of the most suitable for this change. We describe our technical solution, which includes a large real-world data repository, a data science and algorithm development framework, and the mechanism by which results are brought back to the clinic and to the patient. Additionally, we propose the need for a bridging framework that requires collaboration between informatics specialists and medical professionals to integrate knowledge generation into the clinical workflow at the point of care.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Learning Type of study: Clinical_trials / Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Learning Type of study: Clinical_trials / Prognostic_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2024 Document type: Article Affiliation country: Country of publication: