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
First Claim
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.
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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.
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Citations
21 Claims
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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:
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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. - View Dependent Claims (2, 3, 4)
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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. - View Dependent Claims (6, 7, 8, 9)
- the method comprising the steps of;
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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:
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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. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. A method for predicting a risk of adverse events to one or more drugs for at least one patient, the method comprising:
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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.
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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:
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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.
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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:
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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. - View Dependent Claims (21)
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Specification