How to Build a Connected Health Dashboard for All Biomarkers

Why Traditional Lab Reports Fail

Classic PDF reports are hard to compare, offer little context, and disappear in the inbox. Private individuals waste time with screenshots, notebooks, or spreadsheets that nobody maintains. A dashboard therefore needs:

• a clear data hierarchy (measurement → biomarker → category),
• high-quality metadata (reference ranges, notes, dosages),
• permissions so you can share selected values with doctors or trusted people – not everything at once.

Bringing Biomarkers, Supplements & History Together

• Biomarkers as Base: Collect labs, wearables, and self-tests in a fixed structure and give them understandable labels.
• Supplement Overlay: Attach each intake to the biomarker you want to influence. This helps you recognize connections faster.
• Analytics & Insights: Automate deltas, trend arrows, and “warning levels.” A sentence like “Ferritin +12% in 6 weeks” motivates more than raw data.
• History with Context: Add notes, photos, or feelings to each measurement – so you know later why a value rose or fell.

Harmonizing Data Streams

1. Classify Sources: Lab import, wearables, manual entry. Each channel gets validation rules.
2. Unified Vocabulary: We use LOINC/ICD as mapping layer and also store readable labels.
3. Automatic Enrichment Pipeline: As soon as a value arrives, trend calculations, supplement assignment, and warnings are updated.

Example Data Model

Level	Examples	Needed For
Biomarker	HbA1c, Ferritin	Trend charts
Context	Reference range, last updated	Alerts & recommendations
Relationships	Associated supplements, notes	Planning wellness routines

Visual Layer: From Signal to Insight

We divide the dashboard into three modes:

1. Explore: Adaptive cards with sparkline, delta, and confidence level.
2. Compare: Multi-select charts including supplements overlay.
3. Act: To-do widgets for measurement plans, blood draws, or prescriptions.

Thanks to structured components, each mode can be built as a standalone block (cards, charts, action list) – perfect for A/B tests.

Collaboration & Governance

• Timeline with Comments: Every change leaves an audit trail – perfect for sending questions to doctors.
• Snapshot Links: Share only the current state, not your complete account.
• Consent Layer: Define which biomarkers friends, coaches, or doctors may see.

Lessons Learned

1. Trends > Individual Values – Visualize movement, not just status.
2. Storytelling – Headline, “Why important,” “What to do” as fixed structure.
3. Data Warmup – Show dummy data on first login so the benefit is clear.

In the end, it’s not the number of widgets that counts, but how well they accelerate decisions. With a shared data foundation, trust automatically develops – and that’s exactly what Lab2go builds on.