InfoRehab is a research program that uses data from the interRAI Home Care assessment tool (RAI-HC) to identify home care clients who could benefit from rehabilitation services and those at risk for poor health outcomes. The research found that machine learning algorithms were better able to predict rehabilitation potential than current clinical methods. Analyzing RAI-HC data from over 24,000 clients identified various risk factors for hip fractures and helped develop a manageable list of important risk factors. Presenting results to stakeholders showed potential for using machine learning in home care planning and decision support.