Abstract: Systems and methods are described for identifying a target entity that a user intends to refer to based on input that may include only a partial name of the entity. A system may receive a user's entity search query, which may include a partial entity name, then may determine initial candidate matching entities and associated name match scores for each of the initial candidate matching entities relative to the input string, such as using string matching or fuzzy matching techniques. The system may apply a probability match model to generate an overall match score for individual ones of the initial candidate matching entities, then may generate a response to the entity search query that includes information regarding one or more of the initial candidate matching entities with an overall match score exceeding a threshold.

Abstract: Embodiments of a risk assessment system is disclosed, where the risk assessment system can receive patient related data (for example, patient records) and social determinants of health data to generate a risk model to predict potential health outcomes, such as, for example readmission risk, with accompanying social determinants of health insight, which may include actionable insights and deployed systems that follow interventions. The risk model can be used to calculate a risk score for a patient based on patient records and social determinants of health data associated with the patient to predict potential negative health outcome for the patient proactively so that actions can be taken using social determinants of health insights to prevent that outcome.