View source for KONINKLIJKE PHILIPS N.V. (20240233890). METHODS AND SYSTEMS FOR COMPRESSED FAST HEALTHCARE INTEROPERABILITY RESOURCE (FHIR) FILE SIMILARITY SEARCHING simplified abstract

=METHODS AND SYSTEMS FOR COMPRESSED FAST HEALTHCARE INTEROPERABILITY RESOURCE (FHIR) FILE SIMILARITY SEARCHING=


==Organization Name==

[[:Category:KONINKLIJKE PHILIPS N.V.|KONINKLIJKE PHILIPS N.V.]]


[[Category:KONINKLIJKE PHILIPS N.V.]]

==Inventor(s)==

[[:Category:Adriaan Joris H Larmuseau of West-Flanders (BE)|Adriaan Joris H Larmuseau of West-Flanders (BE)]][[Category:Adriaan Joris H Larmuseau of West-Flanders (BE)]]

==METHODS AND SYSTEMS FOR COMPRESSED FAST HEALTHCARE INTEROPERABILITY RESOURCE (FHIR) FILE SIMILARITY SEARCHING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240233890 titled 'METHODS AND SYSTEMS FOR COMPRESSED FAST HEALTHCARE INTEROPERABILITY RESOURCE (FHIR) FILE SIMILARITY SEARCHING

The abstract describes a method for generating a compressed Fast Healthcare Interoperability Resources (FHIR) file using a file compression system. 

* Receiving an uncompressed FHIR file
* Extracting a predetermined plurality of different resource types from the uncompressed file
* Generating a fixed-length FHIR patient profile fingerprint from the extracted resource types, consisting of a fixed-length floating-point value feature vector with sub-feature vectors representing different resource types
* Compressing the generated fixed-length FHIR patient profile fingerprint using a trained compression algorithm to create a compressed FHIR fingerprint
* Storing the compressed FHIR fingerprint in a database

Potential Applications:
- Healthcare data management systems
- Electronic health records (EHR) systems
- Health information exchange platforms

Problems Solved:
- Efficient storage and retrieval of healthcare data
- Streamlining interoperability between different healthcare systems

Benefits:
- Reduced storage space requirements
- Faster data transmission and retrieval
- Improved data security and privacy

Commercial Applications:
Title: "Efficient Compression Method for Healthcare Data Management Systems"
This technology can be utilized in healthcare organizations, hospitals, clinics, and research institutions to enhance the efficiency of managing and exchanging patient health data.

Prior Art:
Researchers and developers in the field of healthcare data management systems, electronic health records, and data compression algorithms may have explored similar methods for optimizing the storage and retrieval of healthcare data.

Frequently Updated Research:
Stay updated on advancements in data compression algorithms, healthcare interoperability standards, and privacy regulations in the healthcare industry.

Questions about the technology:
1. How does this method improve the efficiency of healthcare data management systems?
2. What are the potential challenges in implementing this technology in existing healthcare IT infrastructure?


==Original Abstract Submitted==

a method () for generating a compressed fast healthcare interoperability resources (fhir) file using a file compression system (), comprising: (i) receiving () an uncompressed fhir file; (ii) extracting (), from the uncompressed file, a predetermined plurality of different resource types: (iii) generating (), from the extracted predetermined plurality of different resource types, a fixed-length fhir patient profile fingerprint, wherein the fixed-length fhir patient profile fingerprint comprises a fixed-length floating point value feature vector, the fixed-length floating point value feature vector comprising a predetermined plurality of sub-feature vectors each representing a different extracted resource type, and wherein each sub-feature vector comprises a plurality of elements of the respective extracted resource type; (iv) compressing (), using a trained compression algorithm, the generated fixed-length fhir patient profile fingerprint to generate a compressed fhir fingerprint; and (v) storing () the compressed fhir fingerprint in a database.



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