Method and system for automated differential medical diagnosis assesment with artificial intelligence (ai)

One or more non-transitory computer readable mediums each having stored therein a plurality of instructions for causing one or more processors on one more network devices to execute the steps of:

• creating a first Artificial Intelligence (AI) Medical Large Language Model (LLM) from a Big Data set of patient information on an AI Medical Diagnosis application on a medical diagnosis application on a server network device with one or more processors,
• the first AI Medical LLM with one or more generative AI methods including:
• patient history, patient symptoms, patient vital signs, lab test results, clinical notes and clinical records, imaging test results, medical records, patient differential diagnosis lists, risk assessment, complexity assessment, triage instructions, recommended tests, medications, treatment plans, aftercare instructions, medical professional review and medical differential diagnosis data, for a plurality of patients from a plurality of databases at one or more medical facilities via a communications network on a secure connection;
• creating a second AI LLM with the one or more generative AI methods on the AI Medical Diagnosis application on the medical diagnosis application on the server network device,
• the second AI Medical LLM including:
• (1) the International Classification of Diseases, 10th Revision (ICD-10), a standardized system used worldwide to classify and code diagnoses, medical symptoms, and medical conditions with single codes, ICD-10 is a standardized diagnostic language that converts medical clinical judgment into structured, billable, and analyzable data across a plurality of healthcare systems and (2) International Classification of Diseases, 11th Revision (ICD-11) for coding medical symptoms, and medical conditions and causes of death, ICD-11 further includes modular cluster coding, combining multiple codes to describe a medical condition in detail producing a more precise clinical representation of a medical condition than a single ICD-10 code, and (3) medical records including electronic versions of medical text books, electronic versions of medical disease references, online medical reference sources, online medical information web-sites and online medical journal web-sites;
• combining on the AI Medical Diagnosis application on the medical diagnosis application on the server network device with the one or more generative AI methods the first AI Medical LLM and the second AI Medical LLM to create a third combined AI Medical LLM for use by the AI Medical Diagnosis application in the medical diagnosis application on the server network device;
• receiving a first message on the medical diagnosis application on server network device from a network device with one or more processors, via the communications network on the secure connection,
• the first message including medical information for:
• (1) one or more patient complaints for collected for a specific patient from a patient encounter at a medical facility, and (2) one or more medical diagnoses made by a medical professional for the specific patient from the patient encounter at the medical facility,
• the medical information collected on a graphical user interface displayed by the medical application from the server network device on the network device via the communications network;
• determining with the medical application on the server network device with the medical information included in the first message a determined set of medical diagnosis information including:
• patient history (HX) information, complexity of medical decision-making information (CX) information, the CX information including the one or more medical diagnoses information (DX), medical decision-making (MDM) complexities information, treatment options information (TX) and treatment plank risk (RISK) information associated with the CX made by the medical professional for the specific patient from the patient encounter at the medical facility;
• evaluating an accuracy the determined set of medical diagnosis information with the AI Medical Diagnosis application on the medical diagnosis application on the server network device with the third combined AI Medical LLM and one or more predictive AI methods;
• providing with the AI Medical Diagnosis application on the medical diagnosis application on the server network device, a recommended set of medical diagnosis information,
• the recommended set of medical diagnosis information including:
• suggestions for additional recommended clinical assessment comprising:
• (1) presenting one or more most relevant medical diagnoses for the specific patient from the patient encounter at the medical facility;
• (2) suggestions for collecting additional history, conducting further medical examinations and conducting additional diagnostic testing,
• the recommended set of medical diagnosis information reducing a plurality of treatment plan risk levels, reducing a plurality of diagnosis complexity levels and improving a quality of medical diagnoses made by the medical professional for the specific patient from the patient encounter at the medical facility;
• and
• sending one or more second messages including the recommended set of medical diagnosis information from the medical diagnosis application on the server network device via the communications network via the secure connection for display on the graphical user interface on the network device.

A system for automated differential medical diagnosis with artificial intelligence, comprising in combination:

• one or more network devices, each with one or more processors;
• one or more server network devices, each with one or more processors;
• a communications network;
• the one or more processors on the one or more network devices and one or more server network devices including a plurality of instructions configured:
• for creating a first Artificial Intelligence (AI) Medical Large Language Model (LLM) from a Big Data set of patient information on an AI Medical Diagnosis application on a medical diagnosis application on a server network device with one or more processors,
• the first AI Medical LLM with one or more generative AI methods including:
• patient history, patient symptoms, patient vital signs, lab test results, clinical notes and clinical records, imaging test results, medical records, patient differential diagnosis lists, risk assessment, complexity assessment, triage instructions, recommended tests, medications, treatment plans, aftercare instructions, medical professional review and medical differential diagnosis data, for a plurality of patients from a plurality of databases at one or more medical facilities via a communications network on a secure connection;
• for creating a second AI LLM with the one or more generative AI methods on the AI Medical Diagnosis application on the medical diagnosis application on the server network device,
• the second AI Medical LLM including:
• (1) the International Classification of Diseases, 10th Revision (ICD-10), a standardized system used worldwide to classify and code diagnoses, medical symptoms, and medical conditions with single codes, ICD-10 is a standardized diagnostic language that converts medical clinical judgment into structured, billable, and analyzable data across a plurality of healthcare systems and (2) International Classification of Diseases, 11th Revision (ICD-11) for coding medical symptoms, and medical conditions and causes of death, ICD-11 further includes modular cluster coding, combining multiple codes to describe a medical condition in detail producing a more precise clinical representation of a medical condition than a single ICD-10 code, and (3) medical records including electronic versions of medical text books, electronic versions of medical disease references, online medical reference sources, online medical information web-sites and online medical journal web-sites;
• for combining on the AI Medical Diagnosis application on the medical diagnosis application on the server network device with the one or more generative AI methods the first AI Medical LLM and the second AI Medical LLM to create a third combined AI Medical LLM for use by the AI Medical Diagnosis application in the medical diagnosis application on the server network device;
• for receiving a first message on the medical diagnosis application on server network device from a network device with one or more processors, via the communications network on the secure connection,
• the first message including medical information for:
• (1) one or more patient complaints for collected for a specific patient from a patient encounter at a medical facility, and (2) one or more medical diagnoses made by a medical professional for the specific patient from the patient encounter at the medical facility,
• the medical information collected on a graphical user interface displayed by the medical application from the server network device on the network device via the communications network;
• for determining with the medical application on the server network device with the medical information included in the first message a determined set of medical diagnosis information including:
• patient history (HX) information, complexity of medical decision-making information (CX) information, the CX information including the one or more medical diagnoses information (DX), medical decision-making (MDM) complexities information, treatment options information (TX) and treatment plan risk (RISK) information associated with the CX made by the medical professional for the specific patient from the patient encounter at the medical facility;
• for evaluating an accuracy the determined set of medical diagnosis information with the AI Medical Diagnosis application on the medical diagnosis application on the server network device with the third combined AI Medical LLM and one or more predictive AI methods;
• for providing with the AI Medical Diagnosis application on the medical diagnosis application on the server network device, a recommended set of medical diagnosis information,
• the recommended set of medical diagnosis information including:
• suggestions for additional recommended clinical assessment comprising:
• (1) presenting one or more most relevant medical diagnoses for the specific patient from the patient encounter at the medical facility;
• (2) suggestions for collecting additional history, conducting further medical examinations and conducting additional diagnostic testing,
• the recommended set of medical diagnosis information reducing a plurality of treatment plan risk levels, reducing a plurality of diagnosis complexity levels and improving a quality of medical diagnoses made by the medical professional for the specific patient from the patient encounter at the medical facility;
• and
• sending one or more second messages including the recommended set of medical diagnosis information from the medical diagnosis application on the server network device via the communications network via the secure connection for display on the graphical user interface on the network device.