Intelligent Health System for the Investigation of Consenting COVID-19 Patients and Precision Medicine

Figures & data

Figure 1. Research methodology.

(A) Relational database modeling within computing environment for patient-specific and publicly available annotated data management. (B) Cohort building and ontology-based data access modeling. (C) Intelligent data analysis with AI and machine learning approaches; and (D) decision support system development.

AI: Artificial intelligence; EHR: Electronic health record; LCR: Lifetime clinical record; ML: Machine learning; PCR: Polymerase chain reaction.

Figure 2. COVID-19 patient consent process for research.

Figure 3. Designed COVID-19 ontology is mainly based on details about persons, patients, symptoms, visits, practices, providers, diagnosis, laboratory tests, disease, treatments, procedures, claims, consent and research.

Figure 4. Artificial intelligence nexus: machine learning algorithms and analytical tasks.

AI: Artificial intelligence; ML: Machine learning.

Figure 5. Data flow from multiple data sources to research.