Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research.

Observational research epidemiology machine learning open-source software

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
25 Jan 2024
Historique:
medline: 25 1 2024
pubmed: 25 1 2024
entrez: 25 1 2024
Statut: ppublish

Résumé

The Health-Analytics Data to Evidence Suite (HADES) is an open-source software collection developed by Observational Health Data Sciences and Informatics (OHDSI). It executes directly against healthcare data such as electronic health records and administrative claims, that have been converted to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. Using advanced analytics, HADES performs characterization, population-level causal effect estimation, and patient-level prediction, potentially across a federated data network, allowing patient-level data to remain locally while only aggregated statistics are shared. Designed to run across a wide array of technical environments, including different operating systems and database platforms, HADES uses continuous integration with a large set of unit tests to maintain reliability. HADES implements OHDSI best practices, and is used in almost all published OHDSI studies, including some that have directly informed regulatory decisions.

Identifiants

pubmed: 38269952
pii: SHTI231108
doi: 10.3233/SHTI231108
doi:

Types de publication

Journal Article

Langues

eng

Pagination

966-970

Auteurs

Martijn Schuemie (M)

Observational Health Data Science and Informatics, New York, NY, USA.
Observational Health Data Analytics, Johnson & Johnson, Titusville, NJ, USA.
Department of Biostatistics, UCLA, Los Angeles, CA, USA.

Jenna Reps (J)

Observational Health Data Science and Informatics, New York, NY, USA.
Observational Health Data Analytics, Johnson & Johnson, Titusville, NJ, USA.
Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.

Adam Black (A)

Observational Health Data Science and Informatics, New York, NY, USA.
Odysseus Data Services Inc., Cambridge, MA, USA.

Frank Defalco (F)

Observational Health Data Science and Informatics, New York, NY, USA.
Observational Health Data Analytics, Johnson & Johnson, Titusville, NJ, USA.

Lee Evans (L)

Observational Health Data Science and Informatics, New York, NY, USA.
LTS Computing LLC, West Chester, PA, USA.

Egill Fridgeirsson (E)

Observational Health Data Science and Informatics, New York, NY, USA.
Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.

James P Gilbert (JP)

Observational Health Data Science and Informatics, New York, NY, USA.
Observational Health Data Analytics, Johnson & Johnson, Titusville, NJ, USA.

Chris Knoll (C)

Observational Health Data Science and Informatics, New York, NY, USA.
Observational Health Data Analytics, Johnson & Johnson, Titusville, NJ, USA.

Martin Lavallee (M)

Observational Health Data Science and Informatics, New York, NY, USA.
Virginia Commonwealth University, Richmond, VA, USA.

Gowtham A Rao (GA)

Observational Health Data Science and Informatics, New York, NY, USA.
Observational Health Data Analytics, Johnson & Johnson, Titusville, NJ, USA.

Peter Rijnbeek (P)

Observational Health Data Science and Informatics, New York, NY, USA.
Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.

Katy Sadowski (K)

Observational Health Data Science and Informatics, New York, NY, USA.
TrialSpark Inc., New York, NY, USA.

Anthony Sena (A)

Observational Health Data Science and Informatics, New York, NY, USA.
Observational Health Data Analytics, Johnson & Johnson, Titusville, NJ, USA.
Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.

Joel Swerdel (J)

Observational Health Data Science and Informatics, New York, NY, USA.
Observational Health Data Analytics, Johnson & Johnson, Titusville, NJ, USA.

Ross D Williams (RD)

Observational Health Data Science and Informatics, New York, NY, USA.
Department of Medical Informatics, Erasmus University Medical Center, Rotterdam, The Netherlands.

Marc Suchard (M)

Observational Health Data Science and Informatics, New York, NY, USA.
Department of Biostatistics, UCLA, Los Angeles, CA, USA.
VA Informatics and Computing Infrastructure, Department of Veterans Affairs, Salt Lake City, UT, USA.

Classifications MeSH