Methods and apparatus for early detection of health-related events in a population

• US 7,024,370 B2
• Filed: 03/26/2002
• Issued: 04/04/2006
• Est. Priority Date: 03/26/2002
• Status: Expired due to Fees

• Current Assignee: Picis Incorporated (Constellation Software Incorporated)
• Original Assignee: P) CIS Incorporated
• Inventors: Epler, John, VanRooyen, Michael J., Crockett, Mark D.
• Primary Examiner(s): Hoff, Marc S.
• Assistant Examiner(s): Kim, Paul
• Application Number:
  US10/106,841
• Publication Number:
  US 20030187615A1
• Time in Patent Office: 1,470 Days
• Field of Search: 705/2, 705/3, 128/920, 128/923, 600/300, 600/301, 379/106.02, 702/181, 702/188
• US Class Current: 705/3
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 50/80 for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
• CPC Class Codes: Y10S 128/923 by comparison of patient data to other data

Abstract

A method is disclosed for providing early detection, classification, and reporting of health-related events in a population. The method includes capturing sets of specific emergency room patient information from a subset of the population as the patient information is first electronically entered into, for example, an electronic medical record (EMR). The patient information is pre-processed, transmitted to and stored in a central database in a central computer facility. The patient information is sorted and analyzed by the central computer facility to detect any health-related events in the population and to generate corresponding alerts. The alerts are electronically reported to designated authorities such as health officials and other government authorities such as the CDC.

Claims

1. A method for providing early detection and reporting of health-related events in a population, said method comprising:

automatically capturing patient information from a plurality of members of said population, as said patient information is first electronically entered for electronic recording in a plurality of emergency room environments, to generate patient database information at a central collecting location, wherein said capturing comprises data-mining for said patient information in a plurality of emergency medical record (EMR) systems at a plurality of respective emergency room sites by continuously accessing patient information recorded in said EMR systems through an electronic interface and extracting data corresponding to said patient information;

performing analyses on said patient database information of said plurality of members to generate a health-related alert; and

reporting said health-related alert to designated authorities.

2. The method of claim 1 wherein said patient information includes:

emergency room patient triage information;

patient contact information; and

initial patient interview information.

3. The method of claim 2 wherein said emergency room patient triage information comprises:

instances of basic patient demographic information; and

instances of basic patient clinical information.

4. The method of claim 3 wherein said instances of basic patient demographic information comprises:

patient age;

patient sex; and

patient zip code.

5. The method of claim 3 wherein said instances of basic patient clinical information comprise at least one of:

chief complaint including any of cough, fever, shortness of breath, weakness, malaise, bleeding, rash, and pain;

vital signs including any of body temperature, tachycardia, hypotension, blood pressure, and heart rate; and

smart bio-detection chip results.

6. The method of claim 1 wherein said capturing is accomplished electronically over a network from a plurality of emergency rooms.

7. The method of claim 1 wherein said capturing comprises:

sending said patient information, from each of said plurality of emergency room sites, over the Internet as at least one packet of information;

receiving said at least one packet of information, for each of said plurality of emergency room sites, in a web server on a central collecting computer; and

storing said patient information on said central collecting computer as said patient database information.

8. The method of claim 7 further comprising:

verifying said patient information for completeness before said sending;

stripping said patient information of certain personal patient data, including patient name, before said sending to make said patient information anonymous;

encrypting said patient information before said sending, to make said patient information secure;

de-encrypting said patient information after said receiving; and

verifying said patient information after said de-encrypting.

9. The method of claim 7 further comprising integrating related patient data, from other data sources external to said central collecting computer, with said patient database information on said central collecting computer.

10. The method of claim 9 wherein said related patient data comprises:

patient historical medical data;

patient historical and current medications;

patient laboratory results; and

patient diagnostic results.

11. The method of claim 1 wherein said performing analyses includes performing clinical syndrome analyses on said patient database information including clinical symptoms information.

12. The method of claim 11 wherein said performing clinical syndrome analyses includes generating a set of patient feature data from said patient database information.

13. The method of claim 12 wherein said performing clinical syndrome analyses includes running a detection/classification algorithm on said patient feature data to generate said alerts.

14. The method of claim 13 wherein said detection/classification algorithm is trained-up on sets of training feature data representative of said patient information.

15. The method of claim 11 wherein said performing clinical syndrome analyses includes applying statistical techniques to said patient database information to generate said alerts.

16. The method of claim 1 wherein said performing analyses includes performing traditional epidemiological analyses.

17. The method of claim 16 wherein said performing traditional epidemiological analyses includes at least one of:

calculating a total number of epidemiological cases;

determining incident rates of epidemiological cases;

determining prevalence rates of epidemiological cases;

determining time trends of epidemiological cases; and

determining levels of risk to a population.

18. The method of claim 16 wherein said performing traditional epidemiological analyses includes performing regression analysis.

19. The method of claim 18 wherein results of said performing regression analysis include at least one of:

magnitude and distribution of an epidemiological outbreak;

time, location, and mode of exposure;

demographics of affected persons;

vehicle of exposure; and

persons at risk for disease.

20. The method of claim 1 wherein said performing analyses includes performing mapping analysis.

21. The method of claim 20 wherein said performing mapping analysis includes at least one of:

generating spot dot maps showing actual location of epidemiological cases;

generating density maps showing number of epidemiological cases per spatial area;

generating rate maps showing spatial areas having low, medium, and high rates of mortality;

generating cluster maps showing spatial areas having unusually high numbers of epidemiological cases within close spatial proximity to each other;

generating cluster maps showing time segments having unusually high numbers of epidemiological cases within close temporal proximity to each other; and

generating cluster maps showing time segments and spatial areas having unusually high numbers of epidemiological cases within close temporal and spatial proximity to each other.

22. The method of claim 1 further comprising generating reports based on said proximity analyses.

23. The method of claim 1 wherein said reporting is accomplished electronically over a network from a central collecting facility to said designated authorities.

24. The method of claim 1 wherein said generating health-related alerts includes generating an alert for at least one bio-terrorism event if said performing analyses indicates that said bio-terrorism event has occurred in said population.

25. The method of claim 24 wherein said at least one bio-terrorism event is due to at least one of anthrax, small pox, viral hemorrhagic fever, brucellosis, tularemia, plague, botulism, Q fever, typhus, and encephalitis.

26. The method of claim 1 wherein said generating health-related alerts includes generating an alert for an event wherein said event includes at least one of food poisoning, water contamination, exposure to nuclear radiation, and exposure to chemical agents if said performing analyses indicates that said event has occurred in said population.

27. The method of claim 1, wherein capturing patient information comprises automatically collecting said patient information from a plurality of emergency medical record systems, wherein automatically collecting said patient information comprises collecting said patient information without human intervention at said plurality of emergency medical record systems.

28. The method of claim 1, wherein capturing patient information comprises automatically communicating said patient information from a plurality of emergency medical record systems to a central collecting computer, wherein automatically communicating said patient information comprises communicating said patient information without human intervention at said plurality of emergency medical record systems.

29. The method of claim 28, wherein automatically communicating said patient information comprises communicating said patient information to the central collecting computer as a web request.

30. The method of claim 1, wherein capturing patient information comprises executing a data capturing module coupled to an emergency medical record system of the emergency room environment, wherein the data capturing module automatically, without human intervention at said emergency medical record system, obtains said patient information from the emergency medical record system and communicates said patient information to a central collecting computer.

31. The method of claim 30, wherein said data capturing module comprises a software module executing on said emergency medical record system.

32. The method of claim 30, wherein the data capturing module extracts patient information from the emergency medical record system in real-time as patient information is entered into the emergency medical record system.

33. Apparatus for providing early detection and reporting of health-related events in a population, said apparatus comprising:

a plurality of emergency medical record (EMR) systems for electronically recording patient information in respective emergency room environments;

a plurality of respective data capturing modules connected to said plurality of EMR systems to capture said patient information from said plurality of EMR systems and format said patient information as a web requests, wherein each of said plurality of respective data capturing modules is adapted to data-mine for said patient information by continuously accessing patient information recorded in a respective connected EMR system through an electronic interface and extracting data corresponding to said patient information;

a network connected to said data capturing modules to transmit said web requests as at least one packet of data over said network; and

a central collecting computer connected to said network to receive and store said at least one packet of data.

34. The apparatus of claim 33, wherein each of said plurality of EMR systems further comprises a data input device to electronically enter said patient information into said EMR system.

35. The apparatus of claim 33 wherein each of said plurality of respective data capturing modules comprises:

a data mining module connecting to said respective connected EMR system to search for and extract said patient information from said respective connected EMR system;

a data anonymizing module connecting to said data mining module to strip said patient information of certain identifying patient data including patient name;

a data encryption module connecting to said data anonymizing module to encode said patient information for security;

a web browser emulator connected to said data encryption module to format said patient information into said web request for transmission over said network; and

a remote access module connected between said web browser emulator and said network to transmit said at least one packet of data over said network.

36. The apparatus of claim 33 wherein said network comprises at least one of the Internet and an intranet.

37. The apparatus of claim 33 wherein said central collecting computer comprises:

a remote access module connecting said central collecting computer to said network to receive said at least one packet of data as said web requests from said network;

a web server connecting to said remote access module to interpret said web request and to extract said patient information from said web requests; and

a database processing module connecting to said web server to store said patient information extracted from said web requests.

38. The apparatus of claim 37 wherein said database processing module comprises:

a data de-encryption module to decode said patient information;

a database to store said patient information; and

an analysis module to analyze said patient information and generate said health-related alerts.

39. The apparatus of claim 38 wherein said central collecting computer further comprises a report generating module to generate health-related reports in response to said patient information and analysis performed by said analysis module.

40. The apparatus of claim 39 wherein said central collecting computer sends said health-related reports over said network to designated authorities.