AI/ML Patient Screening for Remote Diagnostic Intake
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Solution Overview
Problem
Access to medical facilities for diagnosis and treatment is limited in remote locations, necessitating a system that allows minimally trained healthcare providers to connect patients to specialists using AI and ML capabilities for initial screening and diagnosis.
Innovation Solution
A system utilizing AI with ML capabilities for natural language understanding and question generation, enabling interaction between patients and medical teams through 3-D virtual images in a metaverse, allowing initial screening and treatment planning without direct physician involvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If AI and ML capabilities are used for initial screening and diagnosis in remote locations, then access to medical facilities and diagnostic efficiency are improved, but system complexity and infrastructure requirements increase
Solution Approach 1:
The patent introduces AI and ML algorithms as intermediary components that mediate between the patient's symptoms and the diagnostic process. These algorithms process patient inputs, perform initial screenings, and generate preliminary diagnoses, thereby improving diagnostic efficiency while managing system complexity through automated intelligence rather than human expertise at remote locations.
Solution Approach 2:
The diagnostic process is segmented into distinct phases: initial patient screening by AI/ML, generation of preliminary diagnosis, and subsequent review by medical professionals. This segmentation allows the complex diagnostic task to be distributed across automated systems and human experts, improving overall efficiency while managing complexity through division of labor.
2Ease of operation
If natural language processing is implemented for patient interaction, then ease of operation and patient accessibility are improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary processing of natural language inputs by pre-training language models and pre-processing patient responses during initial interactions. This preliminary action prepares the data in advance, making subsequent processing faster and more efficient, thereby reducing overall processing time while maintaining ease of patient interaction.
Solution Approach 2:
The patent replaces traditional mechanical or manual data collection methods with natural language processing systems. Patients can interact using their own language rather than filling out structured forms, significantly improving accessibility. The computational resources required are managed through efficient algorithms and distributed processing.
3Measurement precision
If 3-D virtual images and metaverse environments are used for remote interaction, then interaction quality and diagnostic accuracy are improved, but data transmission requirements and system resources increase
Solution Approach 1:
The patent creates virtual copies or representations of patients and medical environments in the metaverse rather than transmitting all raw data. These 3-D virtual images serve as simplified copies that preserve essential diagnostic information while significantly reducing data transmission requirements. The virtual environment allows high-fidelity interaction without the bandwidth demands of transmitting complete medical datasets.
Data Source
AI summary
A method and process for providing virtual screening of patients and medical personal implemented as a virtual universe in metaverse, typically with the help of a remote system having Artificial Intelligence with machine learning capability, for collection and presentation of patient's medical data is provided. Currently Doctors conduct virtual visits with patients to help collect patient's medical data and establish initial diagnosis. This is a time taking process and takes up a lot of the physician's and their assistant's valuable time and energy. Using the remote system to do the initial screening and collection of patients medical data for presentation to the physician before the virtual visit, will reduce the time physicians need to spend with the patient to arrive at a diagnosis. The capability will also help a physician to guide an assistant at a remote location to collect additional data of the patient.