DISORDER TREATMENT MANAGEMENT SYSTEM AND METHOD

• US 20150169844A1
• Filed: 11/18/2014
• Published: 06/18/2015
• Est. Priority Date: 11/18/2013
• Status: Active Application

• Current Assignee: Sleep Data Services Incorporated
• Original Assignee: Sleep Data Services, LLC
• Inventors: Munafo, Dominic, French, David, Hevener, Bretton, Hevener, William, Nguyen, Thinh
• Application Number:
  US14/547,119
• Publication Number:
  US 20150169844A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61M 2039/229 Stopcocks
• CPC Class Codes: A61M 39/22 Valves or arrangement of valves A61M39/02, A61M39/0247, A61M39/16 take precedence; regulating valves in infusion systems A61M5/16881; in devices worn by the patient for the reception of urine, faeces, catamenial or other discharge, or in colostomy devices A61F5/4405
• CPC Class Codes: A61M 39/26 Valves closing automatically on disconnecting the line and opening on reconnection thereof check valves A61M39/24
• CPC Class Codes: G16H 20/70 relating to mental therapies, e.g. psychological therapy or autogenous training
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A system and method for managing treatment of a disorder of a person are disclosed. Data from multiple sources is collected in a data warehouse by a server computer. The data is associated with the disorder, and the sources including a clinical data source and a real-time monitoring source associated with the person. The collected data is normalized against a population of persons sharing the disorder. The normalized data is then associated with the person to generate a treatment regime of the disorder. A compliance by the person with the treatment regime is then calculated based on operational metrics for the population and the data collected from the plurality of sources.

Claims

1. A method of managing treatment of a disorder of a person, the method comprising:

collecting, in a data warehouse by a server computer, data from a plurality of sources, the data being associated with the disorder, the plurality of sources including a clinical data source and a real-time monitoring source associated with the person;

normalizing, by the server computer, the collected data against a population of persons sharing the disorder;

associating, by the server computer, the normalized data with the person to generate a treatment regime of the disorder; and

calculating, by the server computer, a compliance by the person with the treatment regime based on operational metrics for the population and the data collected from the plurality of sources.

2. The method in accordance with claim 1, further comprising calculating exceptions and generating alerts based on data from the clinical source that is outside a range established by the normalized data.

3. The method in accordance with claim 1, further comprising generating, by the server computer, a graphical report for transmission to a client computer and display on the client computer.

4. A non-transitory computer program product storing instructions that, when executed by at least one programmable processor, cause the at least one programmable processor to perform operations comprising:

collecting, in a data warehouse, data from a plurality of sources, the data being associated with a disorder, the plurality of sources including a clinical data source and a real-time monitoring source associated with a person having the disorder;

normalizing the collected data against a population of persons sharing the disorder;

associating the normalized data with the person to generate a treatment regime of the disorder; and

calculating a compliance by the person with the treatment regime based on operational metrics for the population and the data collected from the plurality of sources.

5. A system comprising:

at least one programmable processor; and

a machine-readable medium storing instructions that, when executed by the at least one processor, cause the at least one programmable processor to perform operations comprising;

collecting, in a data warehouse, data from a plurality of sources, the data being associated with a disorder, the plurality of sources including a clinical data source and a real-time monitoring source associated with a person having the disorder;

normalizing the collected data against a population of persons sharing the disorder;

associating the normalized data with the person to generate a treatment regime of the disorder; and

calculating a compliance by the person with the treatment regime based on operational metrics for the population and the data collected from the plurality of sources.