Remote View Playback with Centralized Waveform Data
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Solution Overview
Problem
Current medical systems lack the ability to efficiently collect and store patient vital sign waveforms and numeric values, limiting telemedicine effectiveness by providing incomplete patient data for remote assessments and decision-making.
Innovation Solution
A remote view playback system that includes a patient database and data storage engine to collect, store, and transmit data from various devices, a communication hub for data consolidation, and a user interface rules engine to organize and analyze data in real-time, allowing practitioners to review patient history and provide alerts based on predefined rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If waveform data is stored as screen shots, then storage is simple, but telemedicine effectiveness is limited due to incomplete patient data
Solution Approach 1:
The patent segments waveform data into discrete, storable units that can be captured and transmitted individually. By breaking down continuous waveforms into manageable data segments, the system enables complete patient data storage without requiring complex continuous streaming infrastructure, thus improving data completeness while maintaining system simplicity.
Solution Approach 2:
The patent creates digital copies of waveform data from medical devices and stores them in a centralized database. These copies can be transmitted to remote practitioners without requiring the original device to be physically present, enabling complete patient data access for telemedicine while keeping the storage and transmission system relatively simple.
2Loss of time
If only current vital signs are provided remotely, then real-time monitoring is achieved, but ability to review patient history is lost
Solution Approach 1:
The patent implements preliminary action by capturing and storing waveform data proactively during patient care events before remote review is needed. This advance data collection ensures that complete patient history is already available in the database when remote practitioners need to review it, eliminating the time loss associated with historical data retrieval while maintaining efficient telemedicine assessments.
3Reliability
If data from multiple sources is collected, then comprehensive patient assessment is enabled, but data synchronization complexity increases
Solution Approach 1:
The patent introduces an intermediary component - a centralized database and communication hub - that receives data from multiple medical devices and sources. This intermediary layer handles the complexity of data synchronization, timestamping, and integration, allowing comprehensive patient assessment from multiple sources while shielding remote practitioners from the underlying synchronization complexity.
Data Source
AI summary
A remote view playback system for use by medical practitioners to improve patient outcomes, including a patient database and data storage engine including means for collecting and storing data from any number of electronic devices and instructions for transmitting data to any number of electronic devices and for storing data associated with the patient records and/or data to be stored as quality data; a communication hub for collecting, agnostically, data from any number of electronic devices and instructions for transmitting data to any number of electronic devices, and for storing data associated with the patient records to be stored as quality data, and providing access to all data, so that data from multiple disparate sources can be acquired and consolidated within a unified view; optionally, at least one monitoring station; and a user interface rules engine to collect, store and process data in real time, compose views that organize data, notify end-users based on execution steps defined by end-users, display an organized view of data within a timeline of events, change, for end-users, or augment the execution steps, provide notifications at the same time the end-user is reviewing data, and apply one or more rules to the data selected from assessment data from each monitored patient to determine whether a rule for that monitor has been violated or whether best practice rules established by a health care provider are being adhered to as expected.