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 |
|---|---|---|---|---|---|---|---|---|---|
| MARKOWITZ, ALAN | — | 3 | 2 | 0 | 220 | 47.7 | 1 | 0 | snf |
| MARKOPOULOS, ANASTASIOS | — | 3 | 1 | 0 | 103 | 62.8 | 0 | 0 | snf |
| MARKSTEIN, ISAAC | — | 3 | 2 | 1 | 352 | 71.6 | 1 | 0 | snf |
| MARKWITH, CHRISTOPHER | — | 3 | 1 | 1 | 195 | 24.3 | 0 | 0 | snf |
| MARLA MUNOZ | individual | 3 | 1 | 0 | — | 70.0 | 0 | 0 | home health, hospice |
| MARLENI RODRIGUEZ | individual | 3 | 1 | 2 | — | 73.8 | 1 | 0 | home health |
| MARLETTE, WILLIAM | — | 3 | 2 | 1 | 165 | 57.5 | 1 | 0 | snf |
| MARLYN AGUILAR | individual | 3 | 1 | 3 | — | 82.3 | 1 | 0 | hospice |
| MARRER, GARY | — | 3 | 1 | 1 | 226 | 55.9 | 0 | 0 | snf |
| MARSH AND MCLENNAN COMPANIES, INC | — | 3 | 1 | 1 | 292 | 4.2 | 0 | 0 | snf |
| MARSHALL, CHRISTOPHER | — | 3 | 3 | 2 | 186 | 41.2 | 1 | 0 | snf |
| MARSH, LINDA | — | 3 | 1 | 1 | 83 | 5.6 | 0 | 0 | snf |
| MARSH & MCLENNAN COMPANIES | — | 3 | 3 | 1 | 139 | 33.4 | 0 | 0 | snf |
| MARSHALL, SUSAN | — | 3 | 1 | 1 | 445 | 66.6 | 1 | 0 | snf |
| MARSHALL, WILLIAM | — | 3 | 2 | 1 | 188 | 41.3 | 0 | 0 | snf |
| MARTENS, DENNIS | — | 3 | 2 | 1 | 267 | 69.2 | 0 | 0 | snf |
| MARTIN, CAROLYN | — | 3 | 2 | 1 | 150 | 38.5 | 0 | 0 | snf |
| MARTINSON, DAVID | — | 3 | 3 | 1 | 147 | 52.7 | 1 | 0 | snf |
| MARTIN EBOSON | individual | 3 | 1 | 0 | — | 47.3 | 0 | 0 | home health |
| MARTINICHIO, JOHN | — | 3 | 2 | 2 | 298 | 57.2 | 1 | 0 | snf |
| MARTIN, JOSEPH | — | 3 | 2 | 1 | 363 | 64.4 | 0 | 0 | snf |
| MARTIN, JOSHUA | — | 3 | 2 | 3 | 289 | 56.4 | 0 | 0 | snf |
| MARTIZA LOPEZ | individual | 3 | 1 | 3 | — | 71.2 | 1 | 0 | home health |
| MARTIN, TIFFANY | — | 3 | 1 | 0 | 150 | 31.6 | 0 | 0 | snf |
| MARVIN MERMELSTEIN FAMILY TRUST | — | 3 | 1 | 2 | 703 | 92.9 | 3 | 0 | snf |
| MARVIN RUBIN | individual | 3 | 3 | 1 | — | 45.0 | 0 | 0 | hospice |
| MARX, DENNIE | — | 3 | 1 | 1 | 247 | 7.1 | 0 | 0 | snf |
| MARY AJOSE | individual | 3 | 1 | 0 | — | 55.1 | 1 | 0 | home health, hospice |
| MARY ANN VICTOR | individual | 3 | 1 | 1 | — | 81.6 | 1 | 0 | home health, hospice |
| MARY FREEMAN | individual | 3 | 2 | 1 | — | 42.2 | 1 | 0 | hospice |
| MARY HANSEN | individual | 3 | 1 | 1 | — | 57.8 | 0 | 0 | home health |
| MARY HUDSON | individual | 3 | 2 | 1 | — | 48.7 | 0 | 0 | hospice |
| MARY INGRAM | individual | 3 | 1 | 0 | — | 14.7 | 0 | 0 | hospice |
| MARY ISAKOV | individual | 3 | 1 | 1 | — | 40.1 | 1 | 0 | hospice |
| MARY JO MACKNISKAS | individual | 3 | 1 | 1 | — | 45.1 | 0 | 0 | home health, hospice |
| MARY LARSEN | individual | 3 | 1 | 2 | — | 29.5 | 0 | 0 | home health, hospice |
| MARY LOU CHAPPELL TRUST | — | 3 | 1 | 1 | 337 | 44.5 | 0 | 0 | snf |
| MARY MARTIN | individual | 3 | 3 | 0 | — | 16.3 | 0 | 0 | hospice |
| MARY ROMERO | individual | 3 | 1 | 1 | — | 75.7 | 0 | 0 | home health |
| MARY VILLANUEVA-BARTER | individual | 3 | 3 | 1 | — | 69.9 | 0 | 0 | home health |
| MARYLAND HEALTH ENTERPRISES, INC. | — | 3 | 1 | 1 | 330 | 47.4 | 0 | 0 | snf |
| MASHA RUDAKOV | individual | 3 | 1 | 2 | — | 42.9 | 0 | 0 | home health, hospice |
| MASON, CANDACE | — | 3 | 1 | 2 | 605 | 37.2 | 0 | 0 | snf |
| MASON, KRISSA | — | 3 | 2 | 1 | 208 | 35.0 | 0 | 0 | snf |
| MASROOR, MUHAMMAD | — | 3 | 1 | 1 | 317 | 71.9 | 1 | 0 | snf |
| MASS GENERAL BRIGHAM, INC. | organization | 3 | 1 | 1 | 123 | 38.8 | 0 | 0 | snf, home health, hospice |
| MASSETTI, AMANDA | — | 3 | 3 | 1 | 139 | 33.4 | 0 | 0 | snf |
| MASSEY, NATHANIEL | — | 3 | 3 | 1 | 139 | 33.4 | 0 | 0 | snf |
| MASSON, HENRY | — | 3 | 1 | 1 | 415 | 46.2 | 0 | 0 | snf |
| MATERA HEALTH LLC | — | 3 | 1 | 1 | 348 | 26.0 | 0 | 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.