Automated Care Team Identification via Audit Trail Analysis
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Solution Overview
Problem
In healthcare settings, tracking the dynamic composition of a patient's care team is challenging due to frequent changes in clinician involvement, making it difficult to identify authorized personnel for patient-related communications, which compromises patient privacy and safety.
Innovation Solution
A computer-implemented system that automatically tracks the care team by combining electronic audit trails from medical records, communications, and event-based alerts, inferring involvement levels and defining team membership based on various criteria to facilitate targeted communications among team members.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracking of care team members is used, then system complexity is reduced, but accuracy and timeliness of identifying authorized personnel deteriorates
Solution Approach 1:
The system automatically tracks care team members by monitoring their own actions and interactions within the healthcare system. Audit trails capture provider activities such as accessing patient records, sending communications, and responding to alerts, allowing the system to self-update the care team composition without manual intervention.
Solution Approach 2:
The system continuously monitors provider interactions with patient information and uses this feedback to dynamically update the care team identification. When a provider accesses patient records or responds to communications, the system receives feedback about their involvement level and adjusts the authorized personnel list accordingly.
2Reliability
If dynamic tracking of care team composition is implemented, then accuracy of patient privacy protection is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The system uses audit trails as an intermediary mechanism to indirectly track care team composition changes. Instead of directly monitoring provider identities, the system captures intermediate actions such as record access logs, communication metadata, and system interactions, which serve as measurable indicators of care team membership.
Solution Approach 2:
The system replaces manual tracking mechanisms with automated electronic monitoring. Instead of relying on physical or administrative processes to track care team changes, the system uses digital audit trails, automated alerts, and electronic communication logs to detect and measure provider involvement dynamically.
3Productivity
If automated tracking of care team composition is implemented, then productivity of communication coordination is improved, but device complexity increases
Solution Approach 1:
The system uses a multi-functional audit trail infrastructure that serves multiple purposes: tracking care team composition, monitoring patient privacy access, detecting unauthorized activities, and coordinating communications. This universal system handles diverse functions through a single integrated framework, improving productivity without proportionally increasing complexity.
Solution Approach 2:
The system continuously monitors and updates care team composition in real-time as providers interact with patient information. This continuous tracking ensures that communication coordination is always based on current, accurate information about who is authorized to access patient data, improving productivity by eliminating delays from manual updates.
Data Source
AI summary
Computer-implemented systems and methods automatically track the dynamic composition of a patient-care team by combining and harvesting information from at least two electronic audit trails: (1) a trail recording access to electronic medical records (EMR), e.g., read-access to patient data, electronic prescriptions and physician orders, etc., and (2) a trail recording electronic communications (email, text messages, etc.) regarding and referencing the patient.