Precision Health Analytics through Intelligent EHR Engineering
Keywords:
AI, healthcare, clinical data engineering, EHR analytics, feature engineering, health decision systems, risk prediction, data interoperability .Abstract
Healthcare systems generate large volumes of Electronic Healthcare Record (EHR) data. To utilize the information for clinical intelligence that facilitates decision making in clinical routine, AI-driven systems are developed, built upon sound Clinical Data Engineering principles. Three AI-driven systems are presented: 1) Clinical Data Engineering with Application Programming Interfaces for hospitals using the Seven Interoperable Levels of Data Standardization. API-based data-sharing services enable clinical data normalization for secondary use and enrich suitability for clinical analytics. 2) High-quality risk prediction and patient stratification in patients undergoing elective cardiac surgery through integration of log data from an Electronic Healthcare Record Clinical Decision Support System in combination with information supplied by the EHR. The performance obtained applying the gradient-boosted tree algorithm set a benchmark for these objectives. 3) An AI-driven system for feature engineering covering the clinical information standardization for EHR analytics and highlighting attributes related to patient outcome. Data preparation and feature extraction pipelines automatically assemble the complete clinical dataset by extracting and transforming information directly from the database while providing data for unsupervised feature selection.
Effective EHR analytics constitutes a prerequisite for the success of precision healthcare decision systems. Validated stratification and risk-prediction solutions constitute fundamental building blocks within a precision healthcare concept. Correspondingly, the strategies proposed for stratifying patients undergoing elective cardiac surgery and forecasting their outcome set the path for further developments, enriching the integration of analysis log data from an Electronic Healthcare Record Clinical Decision Support System with the information available in the EHR.
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