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Description
Pinza De Disección. Pinza de Bakey 3.5 x 9.5 cm
Classification
Material médico. Instrumental de cirugia general
IMSS product code
535.701.4249.00
Presentation
Pieza
Each circle represents one of the 6 purchases of PINZAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 8,898.8 MXN | 1,227.4 MXN | 16 % | 0.96 | 28 de julio de 2018 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 8,314.9 MXN | 1,146.9 MXN | 16 % | 0.64 | 20 de agosto de 2010 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 838.3 MXN | 109.3 MXN | 15 % | 0.45 | 17 de agosto de 2009 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 2,436 MXN | 336 MXN | 16 % | 0.16 | 8 de noviembre de 2017 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 1,814.5 MXN | 250.3 MXN | 16 % | 0.16 | 16 de mayo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 3 | 2,039.7 MXN | 16 % | 1.12 | 2010 - 2018 |
| DEWIMED, S. A. | 1 | 670.6 MXN | 16 % | 0.64 | 2015 - 2015 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 109.3 MXN | 15 % | 0.45 | 2009 - 2009 |
| IMPORTADORA BIOMEDICA, S.A. DE C.V. | 1 | 250.3 MXN | 16 % | 0.16 | 2016 - 2016 |
Entity type
Instrumental de cirugia general
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=535.701.4249.00")
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=535.701.4249.00')
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=535.701.4249.00')