A dashboard that shows risk
A BI analyst shared a 3‑page dashboard that parses AI‑generated patient data into risk tiers and actionable insights — a compact example of turning messy metabolic signals into triageable signals for clinicians or coaches. The dashboard is a practical reference for anyone building analytics for diabetes or population health. (x.com)
The dashboard was posted on X by data analyst Alani Joshua (handle @AlaniJoshua_), who shared a link to the visualization alongside screenshots. (x.com) The shared report is hosted as an interactive Microsoft Power BI report — the embed displays the standard "Report powered by Power BI" frame. (app.powerbi.com) Screenshots attached to the post show color‑coded risk tiers, patient‑level tooltips, and short action cards framed for clinicians or coaches rather than raw tables. (x.com) Alani’s public profiles and portfolio list multiple Power BI and data‑visualization projects, including multi‑page reports and interactive dashboards. (github.com) A comparable public Power BI diabetes project documents a three‑page report built on the Pima Indians Diabetes dataset (768 records) with overview, detailed analysis and custom tooltips — a format that mirrors the compact, triage‑focused structure shown in the post. (github.com)
