Publications by authors named "M Shashaty"
Introduction: The rapid adoption of electronic health record (EHR) systems has resulted in extensive archives of data relevant to clinical research, hospital operations, and the development of learning health systems. However, EHR data are not frequently available, cleaned, standardized, validated, and ready for use by stakeholders. We describe an in-progress effort to overcome these challenges with cooperative, systematic data extraction and validation.
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- Primary graft dysfunction (PGD) is a significant cause of complications and mortality after lung transplants, and predicting its risk can help in donor selection and patient care planning.
- Researchers created a predictive model using data from a study conducted between 2012 and 2018, which evaluated various clinical factors to forecast the risk of PGD and developed a user-friendly interface for real-time assessments.
- The model incorporates numerous variables like distance from the donor hospital, recipient characteristics, and donor factors, showing a net benefit for decision-making in predicting PGD risk across different levels, making it a valuable tool for transplantation processes.