Healthcare Data Compression for Low-Bandwidth Medical Transmission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In medical settings, especially in 'disconnection, intermittent, or low-bandwidth' environments, there is a challenge in accessing, processing, and transmitting large amounts of healthcare data due to limitations in data transmission, storage, and processing capabilities, which is critical in urgent medical situations such as battlefields or natural disasters.
Innovation Solution
A computer-implemented method and system for encoding and decoding healthcare data using a look-up table to determine byte positions and encoding types, allowing for efficient data compression and transmission via wireless communications, and a smart bandage system with NFC and Bluetooth capabilities to store and transmit healthcare data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is transmitted in standard formats without compression, then data integrity and completeness are maintained, but transmission time and bandwidth consumption increase significantly
Solution Approach 1:
The data transmission process is segmented into multiple phases: compression phase (where data is encoded into compact binary format), transmission phase (where compressed data is sent over the network), and decompression phase (where receiving system reconstructs original data). This segmentation allows the system to maintain data integrity through structured encoding while significantly reducing transmission time through compression.
Solution Approach 2:
The patent changes the parameter of data representation from human-readable text format to compact binary format. By transforming data parameters (encoding schemes, data structures, compression ratios), the system achieves both goals: data integrity is maintained through reversible encoding transformations, while transmission time is reduced through efficient binary representation and compression algorithms.
2Quantity of substance
If data is compressed to reduce size, then bandwidth consumption and transmission time decrease, but data complexity and processing requirements increase
Solution Approach 1:
The compression and encoding transformations are performed in advance (preliminarily) before transmission. The sending system prepares the data by converting it to compact binary format and applying compression algorithms ahead of time. This preliminary action reduces the data size for transmission while the receiving system only needs to perform the reverse decompression operation, thereby managing complexity efficiently at both ends.
3Reliability
If more data is stored locally to ensure availability in disconnection environments, then data accessibility is improved, but storage capacity requirements and device weight increase
Solution Approach 1:
The patent extracts only the essential and critical data elements needed for emergency care in disconnection environments, storing them locally in compressed format. Non-critical or less frequently accessed data is excluded from local storage. This extraction approach ensures data accessibility for urgent situations while minimizing the storage capacity and device weight requirements by storing only what is truly necessary.
Data Source
AI summary
Data processing and compression of healthcare information may be performed by mapping the attributes of healthcare data from a standard healthcare coding to one or a few encoded bytes to greatly reduce the data storage and transmission requirements, facilitating the use of healthcare data storage and transmission in disconnection, intermittent, or low-bandwidth environments. The disclosed compression can facilitate the movement of large amounts of patient information using relatively low storage capability devices.