Parkland Center for Clinical Innovation

Yu Qian

Rubendran Amarasingham

George R Oliver

Sambamurthy Nalla

Kimberly P Gerra

Timothy S Swanson

Christopher A Clark

Ying Ma

Kimberly Gerra

Timothy Swanson

A clinical predictive and monitoring system comprising a data store operable to receive and store data associated with a plurality of patients selected from medical and health data; and a number of social, behavioral, lifestyle, and economic data; at least one predictive model to identify at least one high-risk patient associated with at least one medical condition; a risk logic module operable to apply the at least one predictive model to the patient data to determine at least one risk score associated the at least one medical condition and identify at least one high-risk patient; a data presentation module operable to present notification and information to an intervention coordination team about the identified at least one high-risk patient; and an artificial intelligence tuning module adapted to automatically adjust parameters in the predictive model in response to trends in the patient data.

Clinical predictive and monitoring system and method

A dashboard user interface method comprises displaying a navigable list of at least one target disease, displaying a navigable list of patient identifiers associated with a target disease selected in the target disease list, displaying historic and current data associated with a patient in the patient list identified as being associated with the selected target disease, including clinician notes at admission, receiving, storing, and displaying review's comments, and displaying automatically-generated intervention and treatment recommendations.

Clinical dashboard user interface system and method

Growing community of inventors

Irving, TX, United States of America

Yu Qian