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HOLISTIC HOSPITAL PATIENT CARE AND MANAGEMENT SYSTEM AND METHOD FOR AUTOMATED STAFF MONITORING

  • US 20150213206A1
  • Filed: 04/09/2015
  • Published: 07/30/2015
  • Est. Priority Date: 09/13/2012
  • Status: Abandoned Application
First Claim
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1. A holistic hospital patient care and management system comprising:

  • a data store operable to receive and store data associated with a plurality of patients 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;

    addictive 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;

    educational level data; and

    data entered by patients;

    a plurality of RFID sensors configured to detect a plurality of RFID tags associated with a plurality of medical staff to enable real-time tracking of location and availability status;

    at least one predictive model including a plurality of weighted risk variables and risk thresholds in consideration of the clinical and non-clinical data and configured to identify at least one medical condition associated with at least one of 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 a risk score associated with the at least one of the plurality of patients, and to stratify the risks associated with the plurality of patients in response to the risk scores;

    a medical staff monitoring logic module configured to receive location data from the RFID sensors, analyze medical staff real-time location and availability status, automatically assign a medical staff to attend to the at least one of a plurality of patients in response to the patient stratified risks, at least one medical condition, and availability of the medical staff, and generate an alert about the assignment; and

    a data presentation module configured to display medical staff location and availability status information, and transmitting the alert to the assigned medical staff regarding the assignment on a specified device.

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