Processing FHIR in modern Data Lakehouse

Healthcare data exchange standard, FHIR is becoming the widely adopted standard for data exchange and storage of health data. However, there is still some learning curve involved when it comes to using the data for analytical purpose. In our research we have devised a generic approach to ingest FHIR data into tabular format that is suited for analytical purpose. Our approach reduces the learning barrier involved in processing FHIR and formatting it for secondary usage.

Authors

Institutions

Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1109/e-science62913.2024.10678734
Citations
1
Primary Topic
Machine Learning and Data Classification
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Processing FHIR in modern Data Lakehouse

Adam Belloum, Shreyas Patil
1 citations
Machine Learning and Data Classification
0.35
article

Processing FHIR in modern Data Lakehouse

Adam Belloum, Shreyas Patil
article en
1 citations

Abstract

Healthcare data exchange standard, FHIR is becoming the widely adopted standard for data exchange and storage of health data. However, there is still some learning curve involved when it comes to using the data for analytical purpose. In our research we have devised a generic approach to ingest FHIR data into tabular format that is suited for analytical purpose. Our approach reduces the learning barrier involved in processing FHIR and formatting it for secondary usage.

Netherlands eScience Center (NL), Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 33%
Machine Learning and Data Classification
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.