PATIENT TREATMENT SYSTEMS AND METHODS
Presented are systems and methods for providing doctors and patients with treatment information based on computer-aided diagnoses that has been generated using patient input, electronic health care record information, and medical instrument input data. The treatment and/or diagnostic information may be shared with health care professionals and specialists, as needed.
1 . A medical data system for generating patient treatment instructions, the system comprising:
a diagnostic engine utilizing a machine learning processes to calculate probabilities associated with illnesses that have been identified from a set of potential illnesses;
a treatment engine coupled to the diagnostic engine, the treatment engine receives diagnostic data from the diagnostic engine and performs the steps of:
determining a treatment option for one or more of the illnesses;
analyzing a likelihood of success for the treatment option;
based on the analysis, generating treatment instructions for one or more treatment options;
receiving feedback regarding the treatment instructions; and
providing the feedback to the diagnostic engine to improve the machine learning processes.
2 . The medical data system according to claim 1 , wherein the treatment engine assigns criticality scores to one or more of the illnesses.
3 . The medical data system according to claim 1 , wherein the diagnostic engine populates an electronic health care record (EHR).
4 . The medical data system according to claim 3 , further comprising a notes generation engine that generates exam notes to populate the EHR.
5 . The medical data system according to claim 1 , wherein the medical data system comprises a coding engine that, based on at least one of drug information, a patient preference, and a patient medical history, generates an output that comprises a treatment code.
6 . The medical data system according to claim 5 , wherein the treatment engine uses at least one of the treatment plan and the treatment code to update an EHR.
7 . The medical data system according to claim 1 , wherein the treatment engine recalculates the likelihood of success to adjust the treatment instructions.
8 . The medical data system according to claim 1 , wherein the treatment instructions comprise one of patient treatment instructions and requests for additional examination.
9 . The medical data system according to claim 8 , wherein the treatment engine calculates a risk of a false negative for the one or more illnesses.
10 . The medical data system according to claim 9 , wherein the treatment engine generates a lab test request based on the risk.
11 . A method for generating patient treatment instructions, the method comprising:
at a treatment engine, receiving diagnostic data from a diagnostic engine that utilizes a machine learning processes to calculate probabilities associated with illnesses that have been identified from a set of potential illnesses;
based on the diagnostic data, determining a treatment option for one or more of the illnesses;
analyzing a likelihood of success for the treatment option;
based on the analysis, generating treatment instructions for one or more treatment options;
receiving feedback regarding the treatment instructions; and
providing the feedback to the diagnostic engine to improve the machine learning processes.
12 . The method according to claim 11 , wherein the one or more of illnesses may be assigned criticality scores.
13 . The method according to claim 11 , further comprising receiving patient-related data from an electronic health care record (EHR).
14 . The method according to claim 11 , further comprising, based on the diagnostic data, generating an output that comprises a treatment code that is based on at least one of drug information, a patient preference, and a patient medical history.
15 . The method according to claim 14 , further comprising using at least one of the treatment instructions and the treatment code to update an EHR.
16 . The method according to claim 14 , further comprising generating exam notes to populate the EHR.
17 . The method according to claim 11 , further comprising recalculating the likelihood of success to adjust the treatment plan.
18 . The method according to claim 11 , wherein the treatment instructions comprise one of patient treatment instructions and requests for additional examination.
19 . The method according to claim 18 , wherein further comprising calculating a risk of a false negative for the one or more illnesses.
20 . The method according to claim 19 , further comprising generating a lab test request based on the risk.