Context Problem: in big hospitals, more than 10,000 tests per day are done; it means that the nurse or the doctor takes approximately 10min per test, or 100.000 per day/person.

Current State: Visual interpretation of text (taking a nurse approximately 10 minutes per analysis, without AI assistance). The patient could have access to a tailored interpretation of the exams in non-medical terms.

Objective: To assist physicians and patients in interpreting medical exam results using AI and UI Generative.

Use Cases:

Single Blood Test Interpretation: Assist with basic interpretation.

Multiple Blood Test Interpretation: Assist with interpretation and identify patterns in blood levels.

Knowledge Base Integration: Assist with interpretation, identify patterns, and leverage a scientific knowledge base to highlight potential health risks for the physician, backed by medical literature.

Example: With 5 consecutive blood tests, the AI could detect a trend and suggest potential conditions to the physician.

Solution: A plataform where the user input a pdf (e.g. hemogram result) and get the analyzed result of the ina generative UI interface. You can input many hemogram result to the AI recognize pattern and point out disease risks and attention. It also helps physicions to interpret the results in a user friendly interface and the patient can also have a non-medical interpretation of this result.

Provide seamless access to interpretations, consultations, and detailed exam insights. With the use of AI and

Possible Impacts:

Time Saving: Generative Interfaces (Generative UI), the interpretation time for a normal complete blood count (CBC) can drop from 10 minutes to less than 30 seconds.

Quality of the interpreation

User friendly interface of the blood results

Benefits: medical interpretations of the exams are more optimized and interactive; more user-friendly interface for nurses and doctors.

Escalability: this solution can be applied in human medical and veterinary medical context.