Thought leadership at the intersection of clinical medicine, data science, and healthcare technology from the Acumenus team.
Project Dispatches
Status updates on each of our open-source platforms, published over the coming days.
MediCosts aggregates 48M+ records across CMS pricing, Open Payments, Part D, and community-health data into a single explorer. Hospital profiles, a county-level map, and an AI assistant round it out — a status dispatch.
Zephyrus runs a Donabedian-structured command center over a synthetic 500-bed system, and now ships Eddy, a process-aware AI agent, plus real-time WebSocket updates to a native mobile companion. Where the platform stands.
COPE (formerly MindLog) pairs a native patient app with a clinician command center built on PHQ-9, GAD-7, C-SSRS, and more. First-party auth, FHIR R4 export, and crisis resources throughout — a project update.
Aurora tagged its v2.0.0 general-availability release: live tumor-board sessions, genomic interpretation, radiogenomics, and privacy-preserving "Patients Like This" across institutions. Here is what landed and what comes next.
A million-patient warehouse, a live CDS Hooks 2.0 surface, VSAC value sets, and a 354-measure catalog that runs nightly as governed SQL. Medgnosis is now SSO-gated and search-indexed in production — a status report.
Parthenon has folded the entire OHDSI toolchain into a single application. The last few months added semantic vocabulary search, FHIR ingestion with live Epic SMART auth, and an action-taking AI copilot — here is where the platform stands.
Essays & Perspectives
The Healthcare Data Pipeline
Healthcare organizations generate staggering volumes of data every day. But data alone doesn't save lives. This article walks through the six stages of the healthcare data pipeline — a comprehensive framework for converting raw clinical and business data into knowledge and practice that improves patient outcomes.
Read moreSir William Osler, often regarded as the father of modern medicine, established principles of clinical practice that continue to resonate over a century later. His emphasis on bedside teaching, systematic observation, and the humanistic approach to patient care laid the groundwork for evidence-based medicine.
Read moreFirst-gen AI in healthcare will create more clutter, not clarity
The current wave of AI hype in healthcare threatens to obscure the very real challenges of clinical data management and decision support. Without rigorous validation, standardized data infrastructure, and clinical workflow integration, AI risks becoming another source of alert fatigue.
Read moreData science methodologies offer healthcare organizations powerful tools for improving patient outcomes. The key lies not in the sophistication of the algorithms but in the quality and standardization of the underlying data.
Read moreThe transformation of raw clinical data into actionable knowledge requires more than dashboards and reports. It demands a systematic approach to analytics that begins with data standardization and culminates in decision support tools that integrate into clinical workflows.
Read moreWe welcome opportunities to co-author, present, and partner on research at the intersection of clinical informatics and data science.