Method and system for real-time health data management and prediction of health trends for patients

A method for real-time health data management and predicting health trends for patients, the method comprising:

• receiving, by a health data management system, patient data from one or more patients, one or more doctors treating the patient and one or more external sources associated with the health data management system;
• generating, by the health data management system, a first table comprising general information of each of the one or more patients based on the patient data;
• generating, by the health data management system, a second table comprising health information of each of the one or more patients based on the patient data;
• generating, by the health data management system, a third table comprising preference information of each of the one or more patients based on the patient data;
• generating, by the health data management system, a distributed ledger in real-time comprising a consolidated health data for each patient based on details of each patient from the first table, the second table and the third table;
• providing, by the health data management system, selectively authorized access to the distributed ledger based on biometric information of the patient;
• and
• managing, by the health data management system, health data of each of the one or more patients and predicting health trends for each of the one or more patients based on the consolidated health data of each patient using Artificial Intelligence (AI) and Machine Learning (ML) techniques.

A non-transitory computer readable medium including instructions stored thereon that when processed by at least one processor causes the processor to:

• receive patient data from one or more patients, one or more doctors treating the patient and one or more external sources associated with the health data management system;
• generate a first table comprising general information of each of the one or more patients based on the patient data;
• generate a second table comprising health information of each of the one or more patients based on the patient data;
• generate a third table comprising preference information of each of the one or more patients based on the patient data;
• generate a distributed ledger in real-time comprising a consolidated health data for each patient based on details of each patient from the first table, the second table and the third table;
• provide selectively authorized access to the distributed ledger based on biometric information of the patient;
• and
• manage health data of each of the one or more patients and predicting health trends for each of the one or more patients based on the consolidated health data of each patient using Artificial Intelligence (AI) and Machine Learning (ML) techniques.