AI Physician Assessment System for Clinical Workflow Automation
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Solution Overview
Problem
Current healthcare technologies face challenges in optimizing patient onboarding and assessment processes, leading to inefficiencies, non-standardized protocols, and increased administrative burdens, resulting in repetitive visits, ineffective communication, and reduced patient compliance.
Innovation Solution
An artificial intelligence system and methods that facilitate physician assessment by integrating algorithms for patient intake, generating triage notes, differential diagnoses, treatment plans, and orders, enabling probabilistic diagnosis and treatment suggestions, and automatically updating records based on objective data, with the ability to interact with patients and provide personalized instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual trial-and-error processes are used for patient onboarding and assessment, then flexibility in handling individual cases is maintained, but process efficiency and standardization deteriorate
Solution Approach 1:
The system performs preliminary assessment actions automatically before the physician sees the patient. The AI engine collects patient information, generates triage notes, creates differential diagnoses, and prepares treatment plans in advance, so that when the physician arrives, the work is already done or substantially done, dramatically improving efficiency while reducing the complexity of the assessment process.
Solution Approach 2:
The system enables self-service through automated AI-driven assessment that performs diagnostic and triage functions without requiring manual intervention from intake staff. The AI engine independently processes patient data, generates assessments, and creates treatment plans, allowing the system to serve itself rather than requiring complex manual procedures.
2Adaptability or versatility
If multiple third-party solutions are integrated, then functional versatility is improved, but system interoperability and reliability deteriorate
Solution Approach 1:
The patent merges multiple previously separate third-party functions into a single integrated AI engine. The system combines patient intake, triage note generation, differential diagnosis creation, treatment plan formulation, and order generation into one unified platform, eliminating the need for multiple separate solutions and their associated interoperability problems while maintaining comprehensive functionality.
3Ease of operation
If intake staff manually determine patient routing, then discretion in case management is maintained, but time consumption and error rates increase
Solution Approach 1:
The system replaces the mechanical manual routing process with an automated AI-based decision engine. The AI engine analyzes patient information, applies clinical guidelines, and automatically determines the appropriate routing and treatment plans, eliminating the time-consuming manual assessment process while reducing errors and improving consistency in patient routing decisions.
Data Source
AI summary
A system for utilizing artificial intelligence for facilitating physician assessment is provided. The system interacts with a user to obtain information from the user, which is then provided to an artificial intelligence engine to predict an assessment and generate a digital record for the user including a plan for the user. The engine compares the predicted assessment to standing order protocols and provider standards protocols to determine if there is a match. If there is a match, instructions according to the protocols are executed. Otherwise, the system places the digital record containing the assessment in a worklist for further review to determine a workflow for the assessment. The workflow instructs the user to proceed directly to an emergency room, schedule a consultation with a provider, or to have the assessment reviewed by a provider. The digital record is updated and provided to the user, third parties, and billing systems.