Критерии создания регламента проверки контрагентов
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STATE HEALTH CARE INSTITUTION "GKBSMP NO. 25"
OGRN: 1023402982877
TIN: 3443028748
Active. Last modified on: December 1, 2017
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Hospital activities
Monitoring
Notes
Reports
Contact information
Revenue
No data
Hospital administrator
Koroleva Marina Vladimirovna
100
Reliability Score
Hospital administrator
Koroleva Marina Vladimirovna
29
years
Established
August 3, 1995
City Volgograd
Revenue
No data
1 358
Connections
+2
last week
Employees
No data
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
49 cases (▒▒▒▒▒ ₽) | 3 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
260 cases (▒▒▒▒▒ ₽) | 12 cases (▒▒▒▒▒ ₽) |
|
✖
Third party
|
43 cases (▒▒▒▒▒ ₽) | 1 case (▒▒▒▒▒ ₽) |
|
✖
Other party
|
6 cases (▒▒▒▒▒ ₽) | 1 case (▒▒▒▒▒ ₽) |
Positive outcome — ▒▒%
▒▒▒▒▒₽
- 19 cases (▒▒▒▒▒ ₽) won
- 3 cases (▒▒▒▒▒ ₽) partially won
- 11 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 164 cases (▒▒▒▒▒ ₽) lost
- 21 cases (▒▒▒▒▒ ₽) partially lost
- 9 cases (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Current cases
As plaintiff (2)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (6)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Completed cases
As plaintiff (47)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (254)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As third party (43)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As other party (6)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Data sources
Information about company arbitration cases is collected from public sources.
Accurate binding to a company can be created only if the information source contains its TIN and OGRN values. If identification details are not specified, the binding is created by using linguistic algorithms. Although these algorithms are being constantly improved, some information may be absent.
If you have noticed an error or lack of information, please let us know about it. Let's improve Seldon.Basis together!
Data sources
Information about company arbitration cases is collected from public sources.
Accurate binding to a company can be created only if the information source contains its TIN and OGRN values. If identification details are not specified, the binding is created by using linguistic algorithms. Although these algorithms are being constantly improved, some information may be absent.
If you have noticed an error or lack of information, please let us know about it. Let's improve Seldon.Basis together!
