graph.md's entire focus is on knowledge management to transform each interaction into knowledge, a fundamental basis for building a new culture related to AI applied to Digital Health. The Patient will be the center of the entire process. The basic idea is to provide, at the appropriate times, contextualized knowledge for decision-making together with the patient. From there, create a culture in which each action can contribute to the continuous construction of the patient's knowledge base and, consequently, their health. At graph.md, it is not the patient who goes to see the doctor, it is the doctor who goes to see the patient. Then, if necessary, call the patient for an in-person consultation at their office to evaluate a more specific clinical aspect, but now with all the information and tests necessary to confirm or exclude a diagnostic possibility. [health e1 audiobook]
The goal of graph.md is to support medical diagnosis, transforming each interaction with the patient into knowledge, a fundamental basis for building a new culture related to AI applied to Digital Health.
Should telemedicine be considered patient care via videoconference? Or inverting the telemedicine process: in-person care, after processing the knowledge base algorithms! A medical diagnosis support system must be able to store part of the knowledge applied to medical diagnosis.
The possibility of telemedicine with the support of GDS (Graph Data Science) algorithms allows the development of the graph.md super app to assist the doctor in diagnosing and/or maintaining your health.
Organization of the Patient's visual system: SYMPTOMS; DISEASES; HEALTH; EMERGENCY; FOOD; SUPPLEMENTS; CONTENT; DIAGNOSIS; REGISTRATION; SERVICE; TREATMENT.
Universe of Concepts: PATIENT; DOCTOR; and PHYSIOLOGICAL.
Abstraction levels: GENERIC (GROUPS); SPECIFIC (SUBGROUPS); and PERSONALIZED (ELEMENTS).
Hubs: HEALTH and DISEASE.
Specialized content: in many cases, it is organized specifically for each content in topics that establish specific relationships at the base; in other cases, it presents a more specific structure (Etiology [origin and cause]; Pathophysiology; Signs and symptoms; Diagnosis; Treatment; Key points).
The most standardized content: has a pre-defined structural model: (example follows) summary/description; Causes; Symptoms; Diagnosis; Treatment; Additional information.
Symptom groups are an important link that ends up being the very definition of the symptom, and the symptom itself is just a correlation of this defining group with a location and associated with other elements (intensity, qualifier, location, viral type, bacterial type, etc.).
Disease groups are another important link that ends up being the very definition of the disease, with the disease being just a correlation of this group with a location and/or associated with other elements (Virus, etc). [health e2 audiobook]
The standardization of term names should have the same meanings for label names, relationship names, property names, and also for the content filled in within the properties.
Integrity: Consistency, reliability, and uniqueness of node and relationship information.
A Symptom defines a correlation between effect; qualifier; anatomy; and physiology.
Diagnosis is an association process to be recorded in the patient's medical record that correlates: symptoms, tests, and diseases.
There are post-diagnostic elements: prognosis and treatment.
The reason for Disease to be at this higher level is that it correlates with “symptoms,” therefore it is a broader recognized standard.
Disease (specific) anchors the relationship between symptoms and diseases (classes), just as disease (specific) is the relationship itself.
Diseases correlate symptoms; disease groups (link); qualifier; cause (vitamin and/or mineral deficiency, virus and/or bacteria, drugs, stimulants, substances, behavior); anatomy (location); and physiology (function).
Disease is therefore a correlation: between a disease class and a specification that has a location.
Two questions we must answer:
What symptoms are necessary to enter the disease group(s)?
What symptoms are necessary to differentiate a specific disease from the disease group(s)?
A benefit is a health symptom that defines a correlation between effect; qualifier; anatomy; and physiology.
Benefits (effects): associated with supplements, behaviors, foods, vitamins, and minerals.
The challenge is to find, through the analysis of the terms, the relationship between benefits, symptoms, and diseases. [health e3 audiobook]
contact@graph.md to get more information on graph md points of view.
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