Case Study:

EHR Integration and the Informatics Gap in Oral Health

Systems Thinking, Prevention & Health Informatics

A close-up of white puzzle pieces with a glowing outline, with some pieces illuminated in rainbow colors, forming a larger shape.

Snapshot

EHR Integration and the Informatics Gap in Oral Health

Systems thinking, prevention, and responsible data sharing

Format: Independent flagship white paper

Audience: Health tech teams, clinicians, policymakers

Focus: Why oral health data remains invisible in shared records

Output: Full white paper (PDF + web)

The Challenge

Dental and medical teams often care for the same patients — using entirely separate record systems.

As a result, important oral health information is recorded, but rarely seen beyond dentistry.

This isn’t a communication problem.

It’s a systems design problem.

Fragmented records mean:

  • early warning signs stay hidden

  • responsibility falls on patients

  • opportunities for prevention are missed

My Approach

This project focused on infrastructure, ethics, and visibility — not prediction or overclaiming.

I analysed:

  • how oral health data is recorded

  • where interoperability breaks down

  • how fragmentation affects care

  • what responsible integration could look like

Using recognised standards (SNOMED CT, HL7, FHIR), I developed a non-alarmist, evidence-led framework for connecting data without replacing clinical judgement.

The aim: better-connected information that supports earlier, safer decisions.

The Outcome

The paper reframed oral health data as a valuable clinical signal — not “extra” information.

It showed how routinely recorded signs (inflammation, dry mouth, attendance patterns, medication effects) could support earlier conversations and referrals when visible in shared systems.

The core insight:

  • Oral health data already exists.

  • The problem is that systems don’t let it travel.

Why This Matters

Integrated records are often discussed in terms of efficiency.

This work positioned shared health records as a preventive intelligence tool.

Better-connected oral health data could:

  • support earlier risk identification

  • reduce diagnostic delay

  • improve medication safety

  • strengthen prevention pathways

It reframes dentistry as a contributor to upstream care — not a silo.

Who This Helps

Health tech & EHR teams

Identify missed data streams and design opportunities

Clinical & primary care teams

Use oral findings as early-warning signals

Policy & prevention leads

Support integrated care models

Education teams

See how complex systems can be communicated clearly

My Role

  • Concept development and narrative framing

  • Clinical interpretation of oral health signals

  • Informatics-led interoperability analysis

  • Translating evidence into practical system insight

Interested in work like this?

If you’re working on complex health or digital health content and want it to be clear, credible, and safe to publish, let’s talk.

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No pressure — just a conversation.