With the advancement of technology, KenyaEMR is evolving towards increased use of Artificial Intelligence (AI) and Machine Learning capabilities to improve care delivery and better patient management. KenyaEMR now employs use of intelligent algorithms to predict likely patient outcomes while in care. This information can be used by care providers to intervene and forestall such undesired outcomes. Currently, the machine learning algorithm is used 2 use cases:
- To predict the risk of patient interrupting treatment (IIT)
- In HIV Testing Services (HTS) screening to predict likelihood of HIV positivity. This brings in efficiencies in testing while increasing case detection rates.
This job aid will outline how to use the Machine Learning (ML) features in the above use cases.KenyaEMR Machine Learning Job Aid IIT Sept 2022