Method for accessing and analyzing medically related information from multiple sources collected into one or more databases for deriving illness probability and/or for generating alerts for the detection of emergency events relating to disease management including HIV and SARS, and for syndromic surveillance of infectious disease and for predicting risk of adverse events to one or more drugs

• US 20060036619A1
• Filed: 08/04/2005
• Published: 02/16/2006
• Est. Priority Date: 08/09/2004
• Status: Abandoned Application

• Current Assignee: Oren Fuerst, Tzameret Fuerst
• Original Assignee: Oren Fuerst, Tzameret Fuerst
• Inventors: Fuerst, Oren, Fuerst, Tzameret
• Application Number:
  US11/198,588
• Publication Number:
  US 20060036619A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• 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: G16H 70/60 relating to pathologies
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The method of the present invention derives the illness probability of any selected person from a database of people stored in a computer and/or on a computer network using collected relational data from every person in the database, including whether a person has a contact relationship with another person in said database and utilizes a database of illnesses infection probability functions given different illnesses and states of nature including data relating to social relationship; type of disease; probability function of infection given a time unit; length of contact of the particular contact relationship link; and calculates at least one relational path between said person and each person in the data base with whom there is a contact relationship, direct or via other persons in the said database for deriving the illness probability of the selected person. In addition. the method of the present invention permits selecting the optimum treatment for a patient with an infectious disease based upon recommending a drug or drugs deemed optimum for treating the patient and permits generating alerts for the detection of emergency events such as the outbreak of an infectious disease or a biological, chemical or nuclear attack and for diseases management. Moreover, in accordance with the method of the present invention a given patient may compare his or her medical record with summary information of patients with similar defined criteria.

Claims

1. A method for deriving illness probability for any selected person within a database of people stored in a computer and/or on a computer network, comprising the steps of:

collecting relational data from every person in the system, said relational data including whether a person has a contact relationship with another person in said database;

utilizing a data base of illnesses infection probability functions given different illnesses and states of nature including data relating to social relationship;

type of disease;

probability function of infection given a time unit;

length of contact of the particular contact relationship link;

calculating at least one relational path between said person and each person in the data base with whom there is a contact relationship, direct or via other persons in the said database;

deriving the illness probability of the said person for each of the above relational paths by calculating the probability of the said person being infected with illness by multiplying the illness probabilities of the said person with the probability functions of the persons along the said relationship path; and

selecting the path with the highest infection probability from at least one relational paths with the highest probability calculated.

2. The method described in claim 1 where the system is further enhanced by other medical information to be incorporated in the probability of illness function.

3. The method described in claim 1 whereby the illness function is state dependent.

4. A Method of graphical representing the illness probability described in claim 1, whereby each person in a data base could be defined as the center for a disease probability view comprising the steps of:

representing at least one set of probability illness along one axis with all the people related to the person directly or indirectly or a defined subset with each person that is to be represented located along the axis at a height that corresponds to the derived probability and

connecting the lines using some initia such as color for summarizing the type of relationship.

5. A method for archiving a plurality of medical data objects within a document;

the method comprising the steps of;

converting medical data objects within a document into at least two storage objects, wherein each medical data object has one or more data items and at least one storage object represents the said data items and one storage object represents the metadata of the said data object; and

combining the said storage objects to the corresponding data object.

6. The method according to claim 5, wherein said documents are XML documents.

7. The method according to claim 5, wherein said documents are used for storing and utilizing information in the context of infection probability calculation.

8. The method according to claim 5, wherein said documents are used for storing and utilizing information as part of a system for disease management.

9. The method according to claim 5, wherein said documents are clinical trials records.

10. A computerized decision support method for selecting the optimum treatment for an HIV condition in a human patient, the method comprising the steps of:

describing possible treatment profiles in a database including efficacy and toxicity of at least one ant-retroviral drug or combinations thereof used for the treatment of patients with different HIV conditions;

identifying a patient'"'"'s current resistance profile using at least one of patient medical conditions comparing the patient'"'"'s current resistance profile with the above database and ranking potential treatments according to the patient current resistance profile; and

providing a recommendation as to which drug or drugs are deemed optimum for treating the patient.

11. The method according to claim 10, which is further enhanced by the inclusion of additional factors for choosing a recommended treatment profile and/or for ranking the drug treatment.

12. the method according to claim 10 which is further enhanced by a parameter weigthing system to allow for the consideration of drug availability and cost.

13. The method according to claim 10 whereby the method is Genotypic or Phenotypic assays.

14. The method according to claim 10 wherein the comparison includes a CD4 count and a viral load evaluation.

15. The method according to claim 10 wherein general health information pertaining to the patient including temperature, skin status and pains is included.

16. The method according to claim 10 whereas the choosing of optimum treatment is based on a weigting of parameters as input by user.

17. The method according to claim 10, where the recommendation method takes into account at least one of the following factors:

cost;

drug availability;

demographic information; and

the patient'"'"'s background;

Patient'"'"'s regimen compliance history, with each of these factors coded with a weight function to be used in the ranking process

18. A method for predicting a risk of adverse events to one or more drugs for at least one patient, the method comprising:

utilizing a patient database, comprising the personal medical profile of at least one patient and genetic information of said at least one patient;

utilizing an adverse drug event database containing adverse drug event information;

connecting the patient database to the adverse events database to enable a user to determine an association between the genetic information and the adverse drug event information;

predicting a risk for adverse drug events for said at least one patient, from the association between the personal medical profile and the adverse drug event information; and

recommending to a patient at least one drug and dosage and frequency of drug taking based upon said predicted risk.

19. A method for generating alerts for the detection of emergency events such as the outbreak of an infectious disease or a biological, chemical or nuclear attack and for diseases management, the method comprising of:

collecting data from a plurality of sources such as consumers, patients, medical sensors, medical institutions, governmental agencies where such collected data includes at least one source of information that is collected from a patient with the data to be collected using either a computer interface, telephone, internet, directly from sensor, or from existing databases;

storing medical and other records being so collected in an information sharing repository which is electronically accessible;

employing an inference step to measure and compare actual incidence level of a particular event to its normal level

generating an alert when an emergency event is detected based upon the existence of a deviation from normal level to at least a predetermined level and

sending a message to a pre-defined set of persons.

20. A community based method where a patient can compare his medical record with summary information of patients with similar defined criteria, comprising the steps of:

inputting to a plurality of patients a set of medical and other inputs pertaining to the medical status of the patient

entering filter information for the viewing of patients with similar information, such as zip code and primary disease

reporting to said patient the summary information of patient with similar medical criteria and

reporting to said patient statistical information including deviation from median of information related to said patients primary disease in the requested population, and the corresponding parameter in the said patient'"'"'s medical record.

21. The method in claim 20, further enhanced by offering said patient medical or other services that fit the medical criteria defined by that said patient.