US2022277849A1PendingUtilityA1

Wellness analysis system

Assignee: MASIMO CORPPriority: Jan 19, 2010Filed: Feb 17, 2022Published: Sep 1, 2022
Est. expiryJan 19, 2030(~3.5 yrs left)· nominal 20-yr term from priority
Inventors:Ammar Al-Ali
G16H 50/50G16H 50/20
71
PatentIndex Score
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Cited by
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Claims

Abstract

A wellness analyzer is in communications with sensors that generate real-time physiological data from a patient. The wellness analyzer is also in communications with databases that provide non-real-time information relevant to a medical-related assessment of the patient. In a diagnostic mode, a monitor layer inputs the sensor data and adjunct layers input the database information. Adjunct layer logic blocks process the database information so as to output supplemental information to the monitor. Monitor logic blocks process the sensor data and the supplemental information so as to generate a wellness output. In a simulation mode, a simulator generates at least one parameter and the monitor generates a predictive wellness output accordingly.

Claims

exact text as granted — not AI-modified
1 .- 20 . (canceled) 
     
     
         21 . A wellness analyzer system comprising:
 a plurality of sensors configured to generate real-time physiological data from a patient;   a plurality of databases configured to provide non-real-time information relevant to a medical-related assessment, the plurality of databases comprising patient-specific databases and non-patient-specific databases; and   a wellness monitor including one or more processors, wherein the one or more processors are configured to receive the real-time physiological data and the non-real-time information, process the real-time physiological data to obtain a plurality of physiological parameters, and process the non-real-time information to generate supplemental information, the wellness monitor further configured to:
 in a diagnostic mode, generate a wellness output based at least in part on one or more features of the plurality of physiological parameters and the supplemental information; and store the one or more features in a memory of the wellness monitor; and 
 in a predictive mode, construct a virtual patient model from at least the non-real-time information and test the virtual patient model to assess a health risk of the patient in response to predetermined physical, medical or environmental conditions, wherein the wellness monitor is configured to test the virtual patient model based on one or more simulated physiological parameters and the one or more features stored in the memory. 
   
     
     
         22 . The system of  claim 21 , wherein the virtual patient model is constructed further based on a history of patient monitoring information. 
     
     
         23 . The system of  claim 21 , wherein the one or more processors comprise a monitor logic layer configured to extract the one or more features of the plurality of physiological parameters. 
     
     
         24 . The system of  claim 23 , wherein the one or more processors further comprise adjunct logic layers configured to process the non-real-time information to generate the supplemental information. 
     
     
         25 . The system of  claim 24 , wherein each of the adjunct layers is specialized to process data according to a source of the data. 
     
     
         26 . The system of  claim 21 , wherein the health risk is a risk of infection, septic shock, embolism, pneumonia, or adverse drug reaction. 
     
     
         27 . The system of  claim 21 , wherein the health risk is a long-term susceptibility to a disease. 
     
     
         28 . The system of  claim 21 , wherein the wellness monitor is configured to output an assessment of the health risk as a predictive wellness index. 
     
     
         29 . The system of  claim 21 , wherein the wellness monitor is configured to output an assessment of the health risk in a listing of specific health risks. 
     
     
         30 . The system of  claim 29 , wherein the listing of specific health risks is sorted according to priority or urgency for a follow-up examination or treatment. 
     
     
         31 . The system of  claim 21 , wherein the plurality of sensors are configured to measure at least one of an oxygen saturation, pulse rate, total hemoglobin, temperature, or respiration rate of the patient. 
     
     
         32 . The system of  claim 21 , wherein the plurality of sensors comprise a plethysmographic sensor. 
     
     
         33 . The system of  claim 21 , wherein the patient specific databases comprise a medical history of the patient. 
     
     
         34 . The system of  claim 21 , wherein the patient specific databases comprise a lab report or a test result of the patient. 
     
     
         35 . The system of  claim 21 , wherein the patient specific databases comprise one or more of prescribed medications or prescribed therapies of the patient. 
     
     
         36 . The system of  claim 21 , wherein the patient specific databases comprise a family history, genealogy, genetic information, or environmental information of the patient. 
     
     
         37 . The system of  claim 21 , wherein the non-patient-specific databases comprise scientific research information. 
     
     
         38 . The system of  claim 21 , wherein the non-real-time information comprises local databases in communication with the wellness monitor via a local area network. 
     
     
         39 . The system of  claim 21 , wherein the non-real-time information comprises non-local databases in communication with the wellness monitor via a wide area network.

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