IP Library Granted Patent US 12,640,267
Granted Patent B2
US 12,640,267 · App. 17/777,984 · Granted May 26, 2026

Medical treatment planning system and method with machine learning

Inventors: Zaw Ali Khan (Uttar Pradesh, IN); Mohsin Ali Khan (Uttar Pradesh, IN)
G16H50/20G16H10/60G16H20/10G16H20/60G16H50/30G16H70/40
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Quick Facts
Patent No.
US 12,640,267
App. No.
17/777,984
Granted
May 26, 2026
Kind
B2
Abstract

A decision support system that aids healthcare practitioners in making more informed clinical decisions and avoiding errors related to diagnosis and treatment of diseases. The system utilizes several data points from the patient history and clinical findings input by the patient and the doctor, to help the doctor make a more accurate diagnosis and develop a more informed treatment plan that incorporates not just drugs and procedures, but also dietary and lifestyle interventions. A system of the present disclosure comprises dosage calculator, symptom checker, differential diagnosis, drug interaction checker, side effect checker, nutritional analyzer and drug-food interaction checker input pathways and corresponding database compartments. Output data is generated in correspondence with patient input data and stored on a database server, where it is correlated with patient outcomes over time and improved through machine learning.

Claims (35)

1 . A medical treatment optimization system comprising:

at least one user interface for entering patient input data;

at least one database, the at least one database being tangibly stored on a non-transitory computer readable medium and in communication with the at least one user interface,

wherein the at least one database comprises a plurality of compartments corresponding to types of data, wherein patient input data is routed in a compartment-specific manner to the plurality of compartments corresponding to types of data;

a plurality of software modules tangibly stored on a separate application server, each of the plurality of software module comprising instructions which when executed cause a processor to:

compile patient input data from multiple patients, the patient input data from multiple patients taken from at least one of the plurality of compartments corresponding to types of data;

correlate compiled patient input data from multiple patients taken from at least one of the plurality of compartments corresponding to types of data with medical resources; and

generate a first treatment plan for a patient based on correlated compiled patient input data from multiple patients taken from at least one of the plurality of compartments corresponding to types of data with medical resources.

2 . The medical treatment optimization system of claim 1 , wherein the patient input data comprises nutritional data, demographic data, physical data, medical history data and drug intake data.

3 . The medical treatment optimization system of claim 1 , wherein at least one of the software modules is adapted to develop a second treatment plan comprising an antibiogram developed from the first treatment plan.

4 . The medical treatment optimization system of claim 1 , wherein the at least one software module is selected from the group consisting of a dosage calculator, symptom checker, differential diagnosis tool, drug interaction checker, side effect checker, nutritional analyzer and drug food interaction checker.

5 . The medical treatment optimization system of claim 1 , wherein a second treatment plan different from the first treatment plan is generated by further compiling of patient input data from multiple patients.

6 . The medical treatment optimization system of claim 5 , wherein at least one of the plurality of compartments can be accessed by more than one software module.

7 . The medical treatment optimization system of claim 6 , wherein the types of data comprises ongoing medications of the patient and at least one of the age, gender, height and weight of the patient and is compiled by a dosage calculator software module.

8 . The medical treatment optimization system of claim 6 , wherein the types of data comprises the age, gender, height, weight, symptoms, medical history and ongoing medications of the patient and is compiled by a symptom checker software module.

9 . The medical treatment optimization system of claim 6 , wherein the types of data comprises age, gender, height, weight, symptoms, medical history and ongoing medications of the patient and is compiled by a differential diagnosis tool software module.

10 . The medical treatment optimization system of claim 6 , wherein the types of data comprises ongoing medications of the patient and is compiled by a drug interaction checker software module.

11 . The medical treatment optimization system of claim 6 , wherein the types of data comprises ongoing medications, medical history and symptoms of the patient and is compiled by the side effect checker software module.

12 . The medical treatment optimization system of claim 6 , wherein the types of data comprises age, gender, height, weight, activity level, lifestyle and foods consumed by the patient and is compiled by the nutritional analyzer software module.

13 . The medical treatment optimization system of claim 6 , wherein the types of data comprises ongoing medications and is compiled by the drug food interaction software module.

14 . The medical treatment optimization system of claim 1 , wherein results of the first treatment plan are used to modify subsequent treatment plans.

15 . A method of medical treatment optimization comprising:

accessing a system comprising;

a user interface for entering patient input data;

at least one database, the at least one database being tangibly stored on a non-transitory computer readable medium and in communication with the at least one user interface,

a plurality of compartments corresponding to types of data;

a plurality of software modules tangibly stored on a separate application server;

routing patient input date in a compartment-specific manner to the plurality of compartments corresponding to types of data

compiling patient input data from multiple patients taken from at least one of the plurality of compartments corresponding to types of data;

correlating compiled patient input data from multiple patients taken from at least one of the plurality of compartments corresponding to types of data with medical resources; and

generating a first treatment plan for a patient based on correlated compiled patient input data from multiple patients taken from at least one of the plurality of compartments corresponding to types of data with medical resources.

16 . The method of claim 15 , providing a visual output, wherein the visual output comprises the first treatment plan and at least one URL related to the first treatment plan.

17 . The method of claim 15 , further comprising generating an antibiogram based on correlated complied patient input data from multiple patients.

18 . The method of claim 15 , further comprising generating an antibiogram based on correlated compiled patient input data from multiple patients.

19 . The method of claim 15 , further comprising generating information related to drug and food interaction based on correlated compiled patient input data from multiple patients.

Continuity (1)
Related Publication 20220351858A1 · Nov 3, 2022
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