At first glance, healthcare seems centralized. In reality? It’s anything but.
Data lives in silos — across systems, formats, and departments. Making sense of it isn’t just technical work — it’s detective work.
Here are the key puzzle pieces:
🏥 EHR / EMR — Diagnoses, medications, clinical notes
📄 Claims — Billing codes, procedures, payment data
⚙️ HL7 / FHIR — Data standards (often theoretical…)
🧬 Lab Results — Often disconnected, often delayed
🌍 SDOH — Housing, income, food access, social context
🗣️ Patient-Reported Outcomes — Surveys, symptoms, personal feedback
📊 An analyst’s job isn’t just to visualize—it’s to connect the dots and understand what the numbers actually reflect in real life.
Because without that map, it’s easy to miss the mark:
• Build reports no one uses
• Track metrics with no meaning
• Automate the wrong thing
In healthcare, analytics starts with navigation, then context, then action.
Still learning to read the map — one integration at a time.
