Impact of a machine learning algorithm on time to palliative care in a primary care population: protocol for a stepped-wedge pragmatic randomized trial.

Heinzen, Ethan P; Wilson, Patrick M; Storlie, Curtis B; Demuth, Gabriel O; Asai, Shusaku W; Schaeferle, Gavin M; Bartley, Mairead M; Havyer, Rachel D

Heinzen, Ethan P; Wilson, Patrick M; Storlie, Curtis B; Demuth, Gabriel O; Asai, Shusaku W; Schaeferle, Gavin M; Bartley, Mairead M; Havyer, Rachel D.

Affiliation

Heinzen EP; Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA. heinzen.ethan@mayo.edu.
Wilson PM; Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA.
Storlie CB; Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA.
Demuth GO; Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA.
Asai SW; Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA.
Schaeferle GM; Robert D. and Patricia E. Kern Center for the Science of Healthcare Delivery, Mayo Clinic, Rochester, MN, USA.
Bartley MM; Community Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Havyer RD; Community Internal Medicine, Mayo Clinic, Rochester, MN, USA.

BMC Palliat Care ; 22(1): 9, 2023 Feb 03.

Article in En | MEDLINE | ID: mdl-36737744

Subject(s)
Key words

Machine learning; Protocol; Randomized trial

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Palliative Care / Hospice and Palliative Care Nursing Type of study: Clinical_trials / Guideline / Prognostic_studies Aspects: Patient_preference Limits: Humans Language: En Journal: BMC Palliat Care Year: 2023 Document type: Article Affiliation country: Estados Unidos Country of publication: Reino Unido

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