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Description
Cincel recto 8 mm de ancho x 24.1 cm de longitud
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.191.1610.00
Presentation
Pieza
Each circle represents one of the 7 purchases of CINCEL made by the IMSS between 2011 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 2 | 1,729.8 MXN | 238.6 MXN | 16 % | 0.32 | 26 de abril de 2017 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 2 | 4,055.1 MXN | 773.1 MXN | 32.2 % | 1.95 | 3 de octubre de 2016 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 5,261.8 MXN | 759.2 MXN | 16.9 % | 1.01 | 4 de noviembre de 2015 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 1,624 MXN | 217.6 MXN | 15.5 % | 0.773 | 30 de septiembre de 2016 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 1,461.6 MXN | - MXN | - | - | 6 de agosto de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 976.8 MXN | 10.8 % | 1.79 | 2015 - 2016 |
| DEWIMED, S. A. | 1 | 360.6 MXN | 48.1 % | 0.481 | 2015 - 2015 |
| GRUPO CORPORATIVO MEDICO DIVISION CENTRO S.A. DE C | 1 | 67.9 MXN | 16 % | 0.16 | 2011 - 2011 |
| HEMOST, S. A. DE C. V. | 1 | 412.5 MXN | 16.3 % | 1.47 | 2016 - 2016 |
| VARGAS ALVAREZ ANA LUISA | 1 | 170.7 MXN | 16 % | 0.16 | 2017 - 2017 |
Entity type
Instrumental de cirugia de especialidades
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.191.1610.00")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.191.1610.00')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.191.1610.00')