Connected Cardiovascular Intelligence: A Framework for Longitudinal Multimodal Cardiovascular Data Integration
Kenneth C. Bean | xBxBio
Publication Series: xBxBio Research & Scientific Publications
Document ID: XBX-RSP-WP-001
Version: 0.5-P — Public Scientific Edition
Publication Date: August 29, 2026
DOI: 10.5281/zenodo.22166083
Abstract
Connected Cardiovascular Intelligence (CCI) is presented as a clinician-centered, longitudinal, multimodal framework for integrating and interpreting cardiovascular information while preserving temporal relationships, clinical context, provenance, data quality, intervention history, uncertainty, and human clinical oversight.
The framework conceptualizes the patient as an evolving clinical trajectory rather than a collection of isolated observations or episodic snapshots. Artificial intelligence and machine learning are positioned as computational components within a broader governed clinical-intelligence architecture rather than as independent clinical authorities.
Keywords
Connected Cardiovascular Intelligence; cardiovascular medicine; longitudinal cardiovascular data; multimodal data; cardiovascular artificial intelligence; clinical decision support; cardiovascular imaging; electrocardiography; digital health; interoperability; FHIR; DICOM; wearable technology; remote patient monitoring; patient-state modeling; clinical AI governance; AI validation; human-AI interaction; cardiovascular informatics.
Recommended Citation
Bean KC. Connected Cardiovascular Intelligence: A Framework for Longitudinal Multimodal Cardiovascular Data Integration. xBxBio Research & Scientific Publications. White Paper 001. XBX-RSP-WP-001. Version 0.5-P. 2026. doi:10.5281/zenodo.22166083.