Building Research Infrastructure to Develop Greater Learning Efficiencies (BRIDGE)
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:310 |
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| Enthalten in: |
Studies in health technology and informatics - 310(2024) vom: 25. Jan., Seite 1131-1135 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Elbers, Danne C [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 26.01.2024 Date Revised 26.01.2024 published: Print Citation Status MEDLINE |
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| doi: |
10.3233/SHTI231141 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM367604167 |
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| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Learning health system | |
| 650 | 4 | |a oncology | |
| 700 | 1 | |a Fillmore, Nathanael R |e verfasserin |4 aut | |
| 700 | 1 | |a La, Jennifer |e verfasserin |4 aut | |
| 700 | 1 | |a Tosi, Hannah M |e verfasserin |4 aut | |
| 700 | 1 | |a Ajjarapu, Samuel |e verfasserin |4 aut | |
| 700 | 1 | |a Dhond, Rupali |e verfasserin |4 aut | |
| 700 | 1 | |a Murray, Karen |e verfasserin |4 aut | |
| 700 | 1 | |a Valley, Danielle |e verfasserin |4 aut | |
| 700 | 1 | |a Shannon, Colleen |e verfasserin |4 aut | |
| 700 | 1 | |a Brophy, Mary T |e verfasserin |4 aut | |
| 700 | 1 | |a Do, Nhan V |e verfasserin |4 aut | |
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