A computable biomedical knowledge object for calculating in‐hospital mortality for patients admitted with acute myocardial infarction
Abstract Introduction Quality indicators play an essential role in a learning health system. They help healthcare providers to monitor the quality and safety of care delivered and to identify areas for improvement. Clinical quality indicators, therefore, need to be based on real world data. Generati...
Main Authors: | Rosemarie Sadsad, Gema Ruber, Johnson Zhou, Steven Nicklin, Guy Tsafnat |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2023-10-01
|
Series: | Learning Health Systems |
Subjects: | |
Online Access: | https://doi.org/10.1002/lrh2.10388 |
Similar Items
-
Advancing Toward a Common Data Model in Ophthalmology
by: Cindy X. Cai, MD, MS, et al.
Published: (2023-12-01) -
OMOP CDM Can Facilitate Data-Driven Studies for Cancer Prediction: A Systematic Review
by: Najia Ahmadi, et al.
Published: (2022-10-01) -
Conceptual design of a generic data harmonization process for OMOP common data model
by: Elisa Henke, et al.
Published: (2024-02-01) -
Incidence of mental health diagnoses during the COVID-19 pandemic: a multinational network study
by: Yi Chai, et al.
Published: (2024-01-01) -
Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS
by: Kostka K, et al.
Published: (2022-03-01)