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Description
Cincel Smith Petersen curvo de 25 mm. de ancho
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.191.2618.00
Presentation
Pieza
Each circle represents one of the 6 purchases of CINCEL made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 1,577.6 MXN | 217.6 MXN | 16 % | 0.32 | 20 de agosto de 2010 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 1,753.9 MXN | 241.9 MXN | 16 % | 0.32 | 4 de noviembre de 2015 |
| Delegación Colima Almacen Delegacional En Colima | Colima | 1 | 1,019.5 MXN | 140.6 MXN | 16 % | 0.16 | 27 de diciembre de 2011 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 5,144.8 MXN | 1,153.5 MXN | 28.9 % | 1.16 | 27 de junio de 2016 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 642.6 MXN | - MXN | - | - | 3 de noviembre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 4,593.6 MXN | 633.6 MXN | 16 % | 0.32 | 9 de mayo de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 4 | 1,613 MXN | 15.2 % | 1.8 | 2010 - 2016 |
| FARMACIA DERMATOLOGICA Y ESPECIALIDADES S.A. DE C. | 1 | 140.6 MXN | 16 % | 0.16 | 2011 - 2011 |
| NEODREN, S. DE R. L. DE C. V. | 1 | 633.6 MXN | 16 % | 0.32 | 2018 - 2018 |
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=537.191.2618.00")
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=537.191.2618.00')
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=537.191.2618.00')