Systems and methods for determination of patient true state for personalized medicine
Systems and methods for personalizing medicine utilizing the true state of the patient are provided. A number of medical records for a patient are subjected to predictive modeling for various conditions (known as patient ‘true state’). The patient personal information, previous care, and true state may be provided into a state machine in order to determine the resources needed for the patient. The medical resources may be any of laboratory services, diagnostics, therapies and medications. Using the true state information, and number of activities may be performed for the patient based upon the patient's needs. These activities include scheduling lab or diagnostic procedures in advance of an appointment, filling in documentation gaps, identifying items that require additional documentation using the true state, and tracking follow-up. It may also be beneficial to validate the true state.
1. A computer-implemented method for personalizing medical care in a health information management system, the computer-implemented method comprising:
determining and extracting terms in a plurality of medical records associated with a patient by parsing and analyzing the plurality of medical records;
transforming the terms extracted from the plurality of medical records into a standardized and structured data set, wherein the data set includes hyperlinks to the plurality of medical records to facilitate real-time reference from the structured data set back to the plurality of medical records;
clustering the terms into medical concept data based at least in part upon machine learned rules;
inferring a true state for the patient based upon the medical concept data, wherein the true state is inferred using a processor implementing at least one probabilistic model, and wherein the true state comprises at least one condition of the patient;
validating the true state including optimizing routing of evidence for validation based upon greatest impact the evidence has on the true state inference; and
determining at least one medical resource for the patient based upon the true state.
2. The computer-implemented method of claim 1 further comprising generating a confidence level for the inferred true state.
3. The computer-implemented method of claim 1 wherein the medical resources include any of laboratory services, diagnostics, therapies and medications.
4. The computer-implemented method of claim 1 further comprising scheduling lab or diagnostic procedures in advance of an appointment based upon the true state.
5. The computer-implemented method of claim 1 further comprising filling documentation gaps using the true state.
6. The computer-implemented method of claim 1 wherein the validation updates a predictive model and updates a confidence level for the inferred true state.
7. A health information management system for personalizing medical care comprising:
a network interface in communication with a first pass analyzer, the network interface configured to receive a plurality of medical records for a patient; and
the first pass analyzer including a processor and configured to:
determine and extract terms in a plurality of medical records associated with a patient by parsing and analyzing the plurality of medical records;
transform the terms extracted from the plurality of medical records into a standardized and structured data set, wherein the data set includes hyperlinks to the plurality of medical records to facilitate real-time reference from the structured data set back to the plurality of medical records;
cluster the terms into medical concept data based at least in part upon machine learned rules;
infer a true state for the patient based upon the medical concept data, wherein the true state is inferred based upon at least one probabilistic model, and wherein the true state comprises at least one condition of the patient;
validate the true state including optimizing routing of evidence for validation based upon greatest impact the evidence has on the true state inference; and
determine at least one medical resource for the patient based upon the true state.
8. The system of claim 7 wherein the first pass analyzer is further configured to generate a confidence level for the inferred true state.
9. The system of claim 7 wherein the medical resources include any of laboratory services, diagnostics, therapies and medications.
10. The system of claim 7 wherein the first pass analyzer is further configured to schedule lab or diagnostic procedures in advance of an appointment based upon the true state.
11. The system of claim 7 wherein the first pass analyzer is further configured to fill documentation gaps using the true state.
12. The system of claim 7 wherein the first pass analyzer is further configured to identify items that require additional documentation using the true state.
13. The system of claim 7 wherein the first pass analyzer is further configured to track follow-up.
14. The system of claim 7 wherein validating the true state includes updating a predictive model and updating a confidence level for the inferred true state.
15. The computer-implemented method of claim 1 , further comprising automatically scheduling the medical resources for the patient.
16. The computer-implemented method of claim 1 , further comprising storing the true state for the patient with a plurality of true states for a plurality of patients, wherein the true states for the plurality of patients are analyzed for profiling.