Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app

Analysing 3429 digital supervisory interactions between Community Health Workers in Uganda and Kenya: the development, testing and validation of an open access predictive machine learning web app

Abstract Background Despite the growth in mobile technologies (mHealth) to support Community Health Worker (CHW) supervision, the nature of mHealth-facilitated supervision remains underexplored. One strategy to support supervision at scale could be artificial intelligence (AI) modalities, including...

Full description

Bibliographic Details
Main Authors: James O’Donovan, Ken Kahn, MacKenzie MacRae, Allan Saul Namanda, Rebecca Hamala, Ken Kabali, Anne Geniets, Alice Lakati, Simon M. Mbae, Niall Winters
Format: Article
Language:English
Published: BMC 2022-03-01
Series:Human Resources for Health
Subjects:
Machine learning
Artificial intelligence
Supervision
Community Health Worker
Digital Health
Training
Online Access:https://doi.org/10.1186/s12960-021-00699-5

Internet

https://doi.org/10.1186/s12960-021-00699-5

Similar Items