Total members
0
Risk stratification
Your members grouped by predicted health risk. Click a band to see those members.
How to read this: the small group at the top drives most cost and need — they usually benefit most from proactive care management. The middle (rising-risk) band is where early outreach can prevent members from moving up.
Patient need groups
Segments members by overall health need and complexity.
Need group key
Members in each group.
Care complexity
Resource Utilization Band — overall expected use of care, from non-users to very high need. Each bar is split by payer / line of business.
RUB key
Members in each band.
Members by age
Age distribution across the population, split by risk level.
Priority outreach list
Members ranked by risk — the people most likely to benefit from a check-in or care management enrollment. Filter, search, then export your call list.
| # | Member ID ↕ | Age ↕ | Sex | Risk level ↕ | Risk percentile ↓ | Risk vs avg ↕ | Chronic ↕ | Need group | Conditions & flags |
|---|
This view summarizes the data in your export and is intended to support — not replace — clinical judgement. Risk scores reflect predicted health need; always confirm member details before outreach.
Clinical & morbidity profile
What is actually driving need in this population — conditions, the body systems carrying disease burden, multimorbidity load, frailty, and open care opportunities. Tap any bar or tile to see exactly which members sit behind it.
Care modifiers
ACG care modifiers present across the population — clinical and utilization signals that shape a member's care plan.
Condition prevalence
Every chronic condition detected from diagnosis history, ranked.
Disease burden by body system
Members with diagnoses in each major clinical system (ACG diagnostic clusters).
Multimorbidity load
How many chronic conditions members carry at once.
Frailty markers
Geriatric vulnerability signals (ACG frailty taxonomy) among flagged members.
Care-opportunity flags
Actionable cohorts worth a closer look. Each tile is a ready-made worklist — tap to open it.
Risk & cost intelligence
The model produces several distinct signals — overall predicted cost, pharmacy-specific risk, and the odds of becoming a persistent high-cost member. Use them together to separate one-off events from durable, manageable risk.
Predicted-cost risk percentile
Where members fall on the 0–100 risk scale. Tap a band to list them.
Care complexity (Resource Utilization Band)
Expected intensity of care use, from non-users to very high.
Medical vs pharmacy risk
Each dot is a member. Members high on the pharmacy axis but low on medical are often drug-cost driven — a different management play than medically complex members. Tap a dot to open the member.
Highest predicted-risk members
Top of the population by overall predicted cost risk.
Health equity & social drivers
Clinical risk rarely sits on its own. This view layers in person-level social needs and neighborhood conditions — food access, deprivation, transportation, isolation — so outreach can account for the barriers a member actually faces.
Race & ethnicity
Self-reported, where available. Tap a bar to list members.
Neighborhood conditions
Census-derived context for each member's home area. Tap any segment to pull the members living in those areas.
Payer mix & book of business
Who carries this population and how risk concentrates across lines of business and plans — useful for contracting, care-management staffing, and knowing where rising-risk members sit.
Line of business
Members by coverage type. Tap a bar to list them.
Top plans & products
The 12 most common products in this file.
Risk concentration by line of business
High and rising-risk share within each book — where to focus care management.
Member explorer
Every member, every signal. Search, filter, sort, then open any row for the full clinical and social picture behind the numbers.
Documented social-need markers
Person-level signals captured from diagnoses (ACG social markers).