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Description
Pinza Hartmann tipo caimán recta longitud 14 cm
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.702.0812.00
Presentation
Pieza
Each circle represents one of the 20 purchases of PINZAS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 6 | 407.1 MXN | 3.55 % | 0.373 | 2010 - 2018 |
| DEWIMED, S. A. | 3 | 9,357 MXN | 358.8 % | 10.8 | 2010 - 2017 |
| CORPORATIVO NEOMEDICA, S. A. DE C. V. | 2 | - MXN | - | - | 2010 - 2013 |
| ADMINISTRADORA MEDICA INTERNACIONAL, S.A. DE C.V. | 1 | 945 MXN | 51.5 % | 0.515 | 2017 - 2017 |
| BELTRAN SILVA MAURICIO | 1 | 5,773.1 MXN | 146.2 % | 8.77 | 2012 - 2012 |
| DRENOVAC, S. A. DE C. V. | 1 | - MXN | - | - | 2012 - 2012 |
| GOVAL INTERNACIONAL, S.A. DE C.V. | 1 | 91.8 MXN | 15 % | 0.45 | 2009 - 2009 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 238.5 MXN | 26.7 % | 0.267 | 2011 - 2011 |
| INSTRUMENTAL E IMPLANTES ORTOPEDICOS S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| MARBELLA ZETINA LAGUNES | 1 | 10,022.4 MXN | 40.4 % | 1.62 | 2014 - 2014 |
| STATION BUSINESS GROUP AND SERVICES, S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| VARGAS ALVAREZ ANA LUISA | 1 | 928.4 MXN | 50.6 % | 0.506 | 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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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=537.702.0812.00")
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=537.702.0812.00')
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=537.702.0812.00')