| 主权项 |
1. A holistic hospital patient care and management system comprising:
a data store operable to receive and store data associated with a patient including clinical and non-clinical data, the clinical data are selected from at least one member of the group consisting of: vital signs and other physiological data; data associated with physical exams by a physician, nurse, or allied health professional; medical history; allergy and adverse medical reactions; family medical information; prior surgical information; emergency room records; medication administration records; culture results; dictated clinical notes and records; gynecological and obstetric information; mental status examination; vaccination records; radiological imaging exams; invasive visualization procedures; psychiatric treatment information; prior histological specimens; laboratory data; genetic information; physician's and nurses' notes; networked devices and monitors; pharmaceutical and supplement intake information; and focused genotype testing; and the non-clinical data are selected from at least one member of the group consisting of: social, behavioral, lifestyle, and economic data; type and nature of employment data; job history data; medical insurance information; hospital utilization patterns; exercise information; substance use data; occupational chemical exposure records; frequency of physician or health system contact logs; location and frequency of habitation change data; predictive screening health questionnaires; personality tests; census and demographic data; neighborhood environment data; dietary data; participation in food, housing, and utilities assistance registries; gender; marital status; education data; proximity and number of family or care-giving assistant data; address data; housing status data; social media data; and educational level data; a patient engagement logic module configured to display survey questions to solicit preference and medical and non-medical issue input from at least one patient, and to receive patient responses to the survey questions; at least one predictive model including a plurality of weighted risk variables and risk thresholds in consideration of the clinical and non-clinical data, including patient responses to the survey questions, and configured to identify at least one medical condition associated with the plurality of patients; a risk logic module configured to apply the at least one predictive model to the clinical and non-clinical data to determine at least one risk score associated with each of the plurality of patients, and to stratify the risks associated with the plurality of patients in response to the risk scores; and the patient engagement logic module further configured to display to the at least one patient educational information including selected information from the data store, the at least predictive model, and the risk logic module. |
