MaRS Digital Genome v1.4: High-Density Clinically Lossless Compression of Longitudinal Medical Histories Using a Minimalist 1R2C Database Model

MaRS Digital Genome v1.4 is a conceptual and architectural preprint introducing a novel framework for high-density clinically lossless compression of longitudinal medical histories using an ultra-minimalist 1R2C (One Row, Two Columns) database model. The work proposes a biologically inspired paradigm in which clinically relevant patient histories are semantically regressed into compact portable encoded strings (“digital genomes”), enabling extreme portability, simplified storage, and rapid access in emergency, offline, and low-resource environments. The framework introduces two foundational concepts: • MaRS Digital Genome — a semantic medical compression framework designed to transform longitudinal clinical histories into compact dictionary-versioned encoded representations. • 1R2C (One Row, Two Columns) — a minimalist medical database architecture and one of the simplest possible forms of longitudinal medical database design, where patient histories are represented using only a unique patient identifier and one or multiple MaRS strings. The proposed architecture enables dictionary-level interoperability with SNOMED CT and LOINC through normalized clinical concepts and versioned dictionary references while maintaining a strong focus on portability, simplicity, and resilience. Potential applications include: emergency medicine disaster response refugee healthcare patient-owned medical records low-infrastructure healthcare systems offline medical access through QR codes, bracelets, and printable cards This document represents an early foundational specification and conceptual framework for future development, validation, and implementation within the Fast Science – Open Research initiative.