Sample Client L.L.C.
Data integrity check
Automated sanity checks on the source claims report. Yellow items are noted and typically tolerable; green indicates clean data; grey marks checks the aggregate DHA format cannot support.
Claims overview
Over 9.5 months the group incurred AED 3.55m processed with light reserves (total incurred AED 3.84m), projecting to an annualized burning cost of —. Two items are notable.
By service category
Monthly claims
Toggle months to include in the run-rate calculation. Defaults exclude the partial first month (policy incepts 15-May) and the under-developed tail (Feb'26). Every figure on this page updates live as you change the selection.
vs prior year · book · market
Three independent reference frames. Prior year shows how this group is trending against itself; book benchmark is the insurer's expectation for similar IT/Tech groups; UAE market uses DHA-published industry norms.
| Metric | FY25 prior-yr report on file | FY26 (current) | Book benchmark Book table | UAE market Market estimate | Verdict |
|---|---|---|---|---|---|
| Burning cost (PPPY, ERP basis) | 3,610 | — | 4,680 | 4,420 | — |
| Pharmacy share | 21.0% | 23.9% | 22.0% | 23.5% | — |
| Out-of-network share | 4.2% | 4.6% | 5.5% | 6.0% | — |
| Avg claim size (AED, paid basis) | 368 | — | 410 | 395 | — |
| Maternity share of value | 2.6% | — | 3.0% | 3.2% | — |
| Diabetes share of value model estimate | 4.4% | — | 5.5% | 6.0% | — |
| Claim frequency (per 1k lives, ERP) | 8,720 | — | 8,100 | 8,500 | — |
| Lives (opening → closing) Source report | 890 | 995 | — | — | +11.8% growth |
Top ten diagnoses
Automated clinical commentary — pattern-based; requires clinical review before client use. Flagged rows (⚑) are conditions the underwriter should actively consider — either because they carry forward-year escalation risk, or because they drive current pricing.
| Diagnosis | Value | Count | Avg | Trend illustrative | Automated note | |
|---|---|---|---|---|---|---|
| ⚑ | Other dorsopathies Chronic | 196,608 | 309 | 636 | Back & musculoskeletal. High frequency, moderate severity. | |
| — | Acute upper respiratory Acute | 192,589 | 1,182 | 163 | Cold/flu. Volume driver, not cost driver. | |
| ⚑ | Diabetes mellitus Escalating | 186,809 | 288 | 649 | 288 diabetes-related claim lines (not member prevalence). UAE prevalence ~19% market estimate. CDM enrollment recommended. | |
| — | Acute lower respiratory Acute | 100,802 | 419 | 240 | Pneumonia/bronchitis. No escalation pattern in-period. | |
| ⚑ | Other joint disorders Chronic | 92,257 | 311 | 297 | Arthropathies. Steady cost curve. | |
| — | Female genital tract Gynae | 84,130 | 254 | 331 | Routine gynae. Expected for the married-female cohort. | |
| ⚑ | Urolithiasis Recurrent | 83,194 | 65 | 1,280 | Kidney stones. Hydration program is the lever. | |
| — | Maternity care Expected | 78,405 | 20 | 3,920 | 20 maternity claim lines (~4–5 estimated deliveries; claims ≠ deliveries). | |
| — | Circ./resp. symptoms Workup | 73,791 | 386 | 191 | Diagnostic workups. 100% outpatient. Benign. | |
| — | Shoulder/upper arm injury Injury | 72,070 | 29 | 2,485 | Sport/accident. Isolated events. |
Where care happens
Top providers by spend share. vs Book compares this group's average claim at the provider against the book average for the same provider. Values above 1.0× indicate higher-than-expected billing.
| Provider | Share | Value | Visits | Avg claim | vs Book |
|---|---|---|---|---|---|
| Zulekha Hospital · Nahda Dubai | 180,870 | 198 | 913 | 0.96× | |
| NMC Specialty · Nahda Dubai | 150,709 | 157 | 960 | 0.98× | |
| NMC Specialty · Electra AD | 118,206 | 206 | 574 | 0.88× | |
| NMC Royal · Sharjah | 106,569 | 130 | 820 | 1.22× | |
| Zulekha · Sharjah | 80,135 | 101 | 793 | — | |
| Emirates Specialty · DHCC | 76,683 | 152 | 504 | 1.58× | |
| Aster · Mankhool | 70,113 | 213 | 329 | 0.91× | |
| Al Sharq · Fujairah | 48,527 | 93 | 522 | — | |
| Prime · Garhoud | 47,994 | 10 | 4,799 | 1.28× | |
| Aster · Silicon Oasis | 39,505 | 239 | 165 | 0.94× |
Who's in the group
Age, gender and marital splits come from the DHA closing census in the source report; composition and forward-year risk pools come from the uploaded census file (986 lives) — each panel is tagged with its source.
Gender mix Source report
Female marital status Source report
Composition Census file · 986 lives
Age distribution — DHA bands × sex Source report
Forward-year risk pools Census file · model estimate
Nationality mix
Nationality is an independent predictor of cost in UAE group medical. Cross-referencing the group's mix (census file) against the one-way rate table gives a sanity check independent of claims experience — computed live from the table below.
| Nationality | Lives | Share | Expected PPPY |
|---|---|---|---|
INIndian | 617 | 3,820 | |
PKPakistani | 149 | 3,560 | |
PHFilipino | 80 | 3,120 | |
EGEgyptian | 50 | 5,240 | |
LKSri Lankan | 30 | 3,440 | |
LBLebanese | 30 | 8,100 | |
AEUAE National | 20 | 9,450 | |
··Other | 19 | 3,600 |
Sanity check Census file × one-way rate table
Expected PPPY purely from the nationality mix is —. Actual claims-driven PPPY (annualized, ERP basis) comes in at — — — vs nationality-predicted.
What-if simulator
Adjust benefit-design levers and watch the premium move. Applies market-standard elasticity assumptions to this group's actual service-mix weights — constants shown in the ⓘ methodology. Combined levers compound multiplicatively. Current-plan baselines are from the incumbent TOB upload.
Impact calculator
Pre-computed scenarios for broker conversations. Premium impact is shown as the percentage change vs the baseline gross premium and the absolute AED amount. Useful for quick "what if we changed X?" questions.
| Scenario | New premium | Δ AED | Δ % |
|---|
Directional levers
Angles to consider — not prescriptions. Savings ranges are indicative; the underwriter decides what fits the client, retention, and renewal dynamics.
Reference premiums
Four anchors. Claims-rated comes live from experience and parameters. Comparable portfolio is auto-calculated from the book table × the DHA closing demographic. Demographic & benefit-rated is an underwriter input. The technical indication is a predictive blend of the other three.