identify at-risk patient
Northwell to use AI to identify at-risk patients
Northwell Health said it plans to use predictive artificial intelligence software from a Georgia-based company to help drive down patient readmissions. The software will be integrated into Northwell's electronic medical records at 15 of its hospitals. The software, created by healthcare artificial intelligence technology firm Jvion, will be used to identify at-risk patients and look for other metrics that contribute to an individual's increased risk, including social determinants such as a lack of access to transportation, as well as food and housing insecurity. Northwell said during the initial implementation, it will target readmissions and avoidable admissions. Terms of the deal were not disclosed.
- North America > United States > New York (0.09)
- North America > United States > Connecticut > Fairfield County > Trumbull (0.09)
Cleveland Clinic to Identify At-Risk Patients in ICU using Cortana Intelligence
This post is by Shaheen Gauher, PhD, and Fidan Boylu Uz, PhD, Data Scientists at Microsoft. Cleveland Clinic is a non-profit academic medical center providing clinical and hospital care. Cleveland Clinic launched eHospital in April 2014 and monitors a total of 100 beds in six ICUs. Cleveland Clinic recently teamed up with Microsoft to utilize predictive and advanced analytics to identify potential at-risk patients under ICU care. Sudden cardiac arrest is a major public health problem with more than 450,000 individuals affected annually.
- Information Technology > Artificial Intelligence > Machine Learning (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Personal Assistant Systems (0.42)
- Information Technology > Artificial Intelligence > Natural Language > Chatbot (0.42)
- Information Technology > Data Science > Data Mining > Big Data (0.41)