Owner ontology
Owners
Owners matching
29,812
with ≥ 2 facilities
Organizations
3,101
corporate counterparties
Individuals
11,431
personal stakes across fleets
Platforms
3,857
≥10 facilities under one key
| Owner | Kind | Facilities ↓ | States | Chains | Beds | Fleet mean | D/F | ML conns | Settings |
|---|---|---|---|---|---|---|---|---|---|
| CHEN, JENQ | — | 9 | 1 | 0 | 910 | 54.1 | 2 | 0 | snf |
| CHEN, TZE-YUN | — | 9 | 1 | 0 | 910 | 54.1 | 2 | 0 | snf |
| CHHEDA, NEEL | — | 9 | 1 | 6 | 942 | 44.6 | 0 | 1 | snf |
| CHRISTOPHER BRADBURY | individual | 9 | 2 | 1 | — | 58.5 | 2 | 0 | home health |
| CHRISTIAN, CHRIS | — | 9 | 7 | 1 | 1,017 | 53.0 | 0 | 0 | snf |
| CHRISTOPHERSON, JOANNE | — | 9 | 1 | 2 | 556 | 20.6 | 0 | 0 | snf |
| CHRISTIAN SWEETSER | individual | 9 | 6 | 1 | — | 53.4 | 0 | 0 | home health |
| CHUDLEIGH, JAMES | — | 9 | 1 | 8 | 913 | 69.3 | 2 | 1 | snf |
| CLARK, ALYSSA | — | 9 | 2 | 2 | 1,024 | 66.5 | 3 | 0 | snf |
| CONRAD, CAMERON | — | 9 | 1 | 1 | 931 | 75.0 | 3 | 1 | snf |
| CONROY, TRACY | — | 9 | 1 | 1 | 893 | 64.4 | 2 | 0 | snf |
| CONTI, JOSEPH | — | 9 | 1 | 3 | 1,495 | 58.5 | 2 | 0 | snf |
| COOPER, VALERIE | — | 9 | 3 | 2 | 910 | 40.4 | 0 | 0 | snf |
| COPPER NE TRUST | — | 9 | 1 | 1 | 641 | 78.3 | 3 | 2 | snf |
| CRESTVIEW 720 TRUST | — | 9 | 2 | 1 | 1,647 | 62.8 | 2 | 0 | snf |
| CRYSTAL BUCCIARELLI | individual | 9 | 4 | 1 | — | 63.6 | 1 | 0 | hospice |
| DALTON, DOUGLASS | — | 9 | 3 | 4 | 507 | 46.4 | 1 | 0 | snf |
| DANA, JENNIFER | — | 9 | 1 | 1 | 893 | 48.8 | 0 | 0 | snf |
| DANIEL THOMPSON | individual | 9 | 2 | 1 | — | 41.9 | 0 | 0 | home health, hospice |
| DANNY HARRIS | individual | 9 | 2 | 1 | — | 82.6 | 4 | 1 | home health |
| DARKEY-HRINYA, JOYCE | — | 9 | 5 | 1 | 613 | 70.0 | 1 | 1 | snf |
| DATTILO, JOHN | — | 9 | 3 | 4 | 507 | 46.4 | 1 | 0 | snf |
| DAVID A. BERKOWITZ REVOCABLE TRUST | — | 9 | 2 | 5 | 1,212 | 70.0 | 3 | 3 | snf |
| DAVIS, TODD | — | 9 | 3 | 2 | 662 | 40.6 | 0 | 0 | snf |
| DAVIS, WILLIAM | — | 9 | 2 | 3 | 940 | 35.7 | 0 | 0 | snf |
| DEBBIE KLURMAN 1994 TRUST | — | 9 | 1 | 1 | 1,171 | 32.3 | 1 | 0 | snf |
| DECATUR HOSPITAL AUTHORITY | — | 9 | 1 | 1 | 1,270 | 77.6 | 4 | 2 | snf |
| DEENA KLURMAN KRANZ 2000 TRUST | — | 9 | 1 | 1 | 1,159 | 31.0 | 1 | 0 | snf |
| DIANE HEJNA | individual | 9 | 3 | 1 | — | 54.6 | 1 | 0 | home health, hospice |
| DIANE MCCULLOM | individual | 9 | 5 | 1 | — | 72.5 | 6 | 1 | home health |
| DIANNA REELY | individual | 9 | 1 | 2 | — | 51.5 | 1 | 0 | home health, hospice |
| DOCTOR'S CHOICE HOLDINGS, INC | organization | 9 | 1 | 1 | — | 71.2 | 1 | 1 | home health |
| DONALD KLINK | individual | 9 | 2 | 1 | — | 58.5 | 2 | 0 | home health |
| DONALD T DENZ IRRV TR | — | 9 | 2 | 1 | 1,082 | 50.3 | 0 | 0 | snf |
| DONNA MARKHAM | individual | 9 | 3 | 1 | — | 54.6 | 1 | 0 | home health, hospice |
| DURANTEAU, NANCY | — | 9 | 1 | 1 | 503 | 13.7 | 0 | 0 | snf |
| DUTRA, ANA | — | 9 | 5 | 1 | 613 | 70.0 | 1 | 1 | snf |
| DWIGHT FULLERTON | individual | 9 | 1 | 2 | — | 51.5 | 1 | 0 | home health, hospice |
| EDINGER, CRAIG | — | 9 | 5 | 2 | 1,057 | 59.7 | 1 | 0 | snf |
| EDWARD BANGERTER | individual | 9 | 5 | 3 | — | 52.3 | 0 | 0 | home health, hospice |
| EK 2005 FAMILY TRUST | — | 9 | 1 | 1 | 1,230 | 62.7 | 0 | 0 | snf |
| ELEUS HEALTH MANAGEMENT LLC | — | 9 | 1 | 1 | 934 | 75.2 | 4 | 1 | snf |
| ELLIS, BRIAN | — | 9 | 3 | 4 | 507 | 46.4 | 1 | 1 | snf |
| ELLIS, RENEE | — | 9 | 2 | 3 | 1,521 | 43.4 | 1 | 0 | snf |
| EMERALD HEALTHCARE LLC | — | 9 | 4 | 3 | 1,128 | 70.1 | 4 | 1 | snf |
| ENCORE INVESTMENT GROUP LLC | organization | 9 | 4 | 1 | — | 63.8 | 0 | 0 | home health, hospice |
| ENVIVE HEALTHCARE LLC | — | 9 | 1 | 1 | 886 | 31.9 | 0 | 0 | snf |
| EREN, ITRI | — | 9 | 1 | 5 | 802 | 23.7 | 0 | 1 | snf |
| ERIC SPRUNK | individual | 9 | 3 | 1 | — | 54.6 | 1 | 0 | home health, hospice |
| ESNH LLC | — | 9 | 2 | 1 | 1,188 | 36.2 | 1 | 0 | snf |
Owners are canonical keys from CMS ownership files, exact-matched only - no fuzzy merging. fleet_mean_score is the mean composite percentile across the fleet's scored facilities; refresh is weekly with the ML scan.