POINT-OF-CARE ENACTIVE MEDICAL SYSTEM AND METHOD

• US 20100217094A1
• Filed: 02/23/2010
• Published: 08/26/2010
• Est. Priority Date: 02/23/2009
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: Cardiovascular Imaging Technologies LLC
• Inventors: Seward, James B.
• Application Number:
  US12/710,983
• Publication Number:
  US 20100217094A1
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A diagnostic enactive medical system that guides a user during acquisition and analyses of medical data for diagnosis and risk assessment. A method of using data-centric analysis and interpretation of acquired medical data in conjunction with metadata management in the point-of-care enactive medical system transforms raw medical data to generate feature-sets of a small number of closely related features associated with a particular medical or physiological state. Medical data from the point-of-care enactive medical system converges onto one or more feature-sets, interacts with the user to provide commentary or request additional information or data concerning a patient. Using an expert knowledgebase, the point-of-care enactive medical system learns from the medical data and then provides the user of tasks suitable for dynamic construction of point-of-care enactive medical knowledge, diagnoses, and recommendations for risk and/or treatment.

Claims

1. A point-of-care enactive medical system, comprising:

an acquisition device to obtain medical data on a first person,

said acquisition device for operation by a second person with respect to providing care for said first person;

an enactive interface for operating said acquisition device by said second person;

a computer including a processor and a memory,

said computer for receiving, storing, and processing said medical data generated by said acquisition device,

said memory storing a knowledgebase having a plurality of feature-sets,

each of said feature-sets having two or more features;

an efferent component which accesses said medical data and said knowledgebase and executes a process in said processor, wherein

said medical data is transformed to transformed data,

at least one feature of said feature-sets is selected and populated from said knowledgebase with at least one of said transformed data, and

knowledge of one or more physiological conditions represented by one or more of said feature-sets having said feature populated by said transformed data is generated; and

an afferent component which executes in said processor to communicate said knowledge regarding said one or more physiological conditions to said second person for further operation of said acquisition device.

2. The point-of-care enactive medical system in accordance with claim 1, further comprising:

a learning component which makes an association of said feature populated by said transformed data with another physiological condition, wherein

another knowledge of said another physiological condition represented by another feature-set having said feature populated by said transformed data is generated, and

said another knowledge is added into said knowledgebase stored in said memory.

3. The point-of-care enactive medical system in accordance with claim 1, wherein said process includes an algorithm.

4. A non-transitory computer-readable storage medium with an executable program stored thereon,

said program evaluating medical data of a first person obtained with an acquisition device operated by a second person,

said medium loadable on a computer memory,

said program instructs a computer processor to perform steps,

said memory storing said medical data of said first person and a knowledgebase having feature-sets,

said computer processor under control of said program providing instruction to an enactive interface for operation of said acquisition device by said second person,

said steps comprising:

an efferent component step which accesses said medical data and said knowledgebase from said memory and executes a process in said computer processor, said process including transforming said medical data to transformed data, selecting and populating a feature of said feature-sets obtained from said knowledgebase with at least one of said transformed data, and generating knowledge of one or more physiological conditions represented by one or more of said feature-sets having said feature populated by said transformed data; and

an afferent component step which executes in said computer processor to communicate said generated knowledge of said one or more physiological conditions to said enactive interface for said second person regarding operation of said acquisition device.

5. The non-transitory computer-readable storage medium in accordance with claim 4, said steps further comprising:

a learning component step which executes in said computer processor,

wherein said learning component step includes;

making an association of said feature populated by said transformed data with another physiological condition,

generating another knowledge of said another physiological condition represented by another feature-set having said feature populated by said transformed data, and

adding said another knowledge into said knowledgebase stored in said memory.

6. A method for obtaining knowledge regarding one or more physiological conditions about a first person, said method comprising:

operating an acquisition device by a second person;

obtaining medical data of said first person from said acquisition device;

inputting said medical data from said acquisition device to a computer;

said computer receiving, storing and processing said medical data;

said computer having a processor and a memory,

accessing a knowledgebase having feature-sets in said memory;

executing a program loaded on said processor,

said program comprising an efferent component which accesses said medical data and said knowledgebase in said memory and executes a process in said processor to transform said medical data to transformed data, said process selecting and populating a feature of one or more of said feature-sets obtained from said knowledgebase with at least one of said transformed data and further using said knowledgebase to generate a knowledge of one or more physiological conditions represented by one or more of said feature-sets having said feature populated by said transformed data;

said program further comprising an afferent component which executes in said processor to communicate said knowledge of said one or more physiological conditions to said enactive interface for further operation of said acquisition device by said second person;

further operation of said acquisition device by said second person; and

obtaining further medical data of said first person from said acquisition device.

7. The method in accordance with claim 6, wherein said program further comprising

a learning component which executes in said computer processor to make an association of said feature populated by said transformed data with another physiological condition, to generate another knowledge of said another physiological condition represented by another feature-set having said feature populated by said transformed data, and to add said another knowledge into said knowledgebase stored in said memory.