BOSTON and TOKYO – Partners Connected Health and Hitachi are working together to develop artificial intelligence technology which can accurately predict the risk of hospital readmissions within 30 days for patients with heart failure.
“With this innovation, doctors and nurses using the algorithm will be able to tell exactly why a certain patient is at high risk for hospital admission, and what they can do about it,” said Dr. Kamal Jethwani, senior director, Partners Connected Health Innovation, in a statement. “We want to enable our providers to act on this information, which is a step beyond the state-of-the-art today, in terms of machine learning algorithms.”
The AI technology helps select appropriate patients to participate in a readmission prevention program following hospital discharge, and can explain the reason why patients were identified as being at high risk.
The technology is an example of explainable AI, a new term currently defined as enabling machines to explain their decisions and actions to human users, and enabling them to understand, appropriately trust and effectively manage AI tools, while maintaining a high level of prediction accuracy.
As part of the study, the Partners Connected Health Innovation team simulated the readmission prediction program among heart failure patients participating in the Partners Connected Cardiac Care Program, a remote monitoring and education program designed to improve the management of heart failure patients at risk for hospitalization.
Hitachi’s new AI technology uses deep learning to construct the prediction model. The company developed the technology for risk prediction with analyzing the results presented by deep learning and extracting the several dozens of actionable factors for each patient from the vast amount of data collected from heart failure patients. Through a standard statistical approach based on this risk prediction model, the extracted factors were used to calculate the risk of hospital readmission, and the relevance of the factors was calculated. Thus, this explainable AI technology can enhance prediction accuracy and the quality of medical decision-making.
Hitachi and the Partners Connected Health Innovation team will jointly conduct a prospective study, which evaluates the prediction program by clinicians, and study how to integrate this within clinical workflows.