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Computerized outcomes analysis for congenital heart disease
Jeffrey Phillip Jacobs1, Bohdan Maruszewski,
1The Congenital Heart Institute of Florida, Cardiac Surgical Associates, St Petersburg, Florida 33701, USA. JeffJacobs@msn.com
Insights
Computerized analysis of congenital heart disease outcomes is advancing, focusing on standardized nomenclature, databases, complexity adjustment, and data verification for improved patient care.
Area of Science:
- Cardiology
- Medical Informatics
- Health Outcomes Research
Background:
- Outcomes analysis in congenital heart disease (CHD) is crucial for improving patient care and surgical outcomes.
- Standardization in data collection and analysis is essential for reliable CHD outcomes research.
Purpose of the Study:
- To review recent literature on computerized outcomes analysis for congenital heart disease (CHD).
- To highlight advances in nomenclature, database development, complexity adjustment, and data verification for CHD outcomes.
Main Methods:
- Literature review of computerized outcomes analysis in congenital heart disease over the past year.
- Focus on advancements in four key areas: nomenclature, database, complexity adjustment, and data verification.
Main Results:
- Adoption of common nomenclature and minimal datasets by major surgical societies (EACTS, STS).
- Development and application of multi-institutional efforts for complexity adjustment (RACHS-1, Aristotle Score).
- Ongoing collaborative initiatives for data verification in CHD outcomes analysis.
Conclusions:
- Methods for CHD outcomes analysis are continuously evolving.
- Progress in nomenclature, database standardization, complexity adjustment, and data verification are key drivers of this evolution.
Purpose Of Review:
This paper reviews the past year's literature on computerized outcomes analysis for congenital heart disease.
Recent Findings:
This review focuses on recent advances in four areas of computerized outcomes analysis for congenital heart disease: nomenclature, database, complexity adjustment, and data verification. A common nomenclature, along with a common core minimal dataset, were adopted by the European Association for Cardio-thoracic Surgery and the Society of Thoracic Surgeons and published in 2000 in the Annals of Thoracic Surgery; the thrust towards the establishment of an international nomenclature is now being developed further by the International Society for Nomenclature of Pediatric and Congenital Heart Disease [http://www.IPCCC.net]. This common nomenclature and common minimum database dataset, created by the International Congenital Heart Surgery Nomenclature and Database Project, are now used by the European Association for Cardio-thoracic Surgery and Society of Thoracic Surgeons since 1998, this nomenclature and database have been used to analyze outcomes of over 40 000 patients. Two major multi-institutional efforts have attempted to measure case complexity: the Risk Adjustment in Congenital Heart Surgery-1 and the Aristotle Complexity Score. Collaborative efforts involving the European Association for Cardio-thoracic Surgery and Society of Thoracic Surgeons are underway to develop mechanisms to verify data completeness and accuracy.
Summary:
Methods of congenital heart disease outcomes analysis continue to evolve, with continued advances in four areas: nomenclature, database, complexity adjustment, and data verification.
