Remote Presence Robot Session Recording for Medical Billing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current robotic tele-presence systems lack the capability to effectively track and store data related to tele-presence sessions, particularly in medical applications, which hinders efficient remote examination, diagnosis, and billing processes.
Innovation Solution
A robotic system with a camera-controlled robot and a remote station that captures and stores session content data, including video/audio recordings, timestamps, and billing information, accessible through a network and stored on a server for multiple users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a robotic tele-presence system is used for remote medical examinations, then remote diagnosis and treatment capabilities are improved, but the ability to track and store session data is insufficient
Solution Approach 1:
The system automatically initiates data capture and storage processes at the beginning of each tele-presence session, ensuring that all session content is recorded before the session concludes. This preliminary action ensures comprehensive data collection without requiring manual intervention during the session.
Solution Approach 2:
The system creates digital copies of session content including video, audio, and metadata, storing them in a structured database format. These copies preserve the original session information while enabling efficient retrieval, analysis, and billing processing.
2Productivity
If session data is stored for billing and auditing purposes, then billing automation and audit capabilities are improved, but system complexity increases
Solution Approach 1:
The session data storage system is designed to serve multiple functions simultaneously: it stores session content for billing purposes, provides audit trails for compliance, enables quality assurance review, and supports research analysis. This multi-functionality reduces the need for separate systems for each purpose.
Solution Approach 2:
The system automatically generates billing information from stored session data without requiring manual data entry or processing. The billing module queries the database and autonomously creates invoices, reducing administrative workload and minimizing errors.
3Measurement precision
If comprehensive session content data is captured including video and audio, then diagnostic accuracy is improved, but data storage requirements and processing load increase
Solution Approach 1:
The session data is segmented into distinct components: video streams, audio streams, metadata (timestamps, session identifiers), and billing information. Each segment is stored in optimized formats and can be independently processed or retrieved based on specific needs.
Solution Approach 2:
The system applies different compression and storage parameters to different data types based on their importance and usage patterns. Critical diagnostic video segments are stored in high-quality formats, while less critical segments use compressed formats, optimizing the balance between quality and storage requirements.
Data Source
AI summary
A robotic system that is used in a tele-presence session. For example, the system can be used by medical personnel to examine, diagnose and prescribe medical treatment in the session. The system includes a robot that has a camera and is controlled by a remote station. The system further includes a storage device that stores session content data regarding the session. The data may include a video/audio taping of the session by the robot. The session content data may also include time stamps that allow a user to determine the times that events occurred during the session. The session content data may be stored on a server that accessible by multiple users. Billing information may be automatically generated using the session content data.