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Description
Endoprótesis metálica autoexpandible para angioplastía carotídea premontada para sistema de liberación sobre la guía. Estéril. Diámetro: 14 mm. Longitud: 6 cm (60 mm)
Classification
Material médico. Material de curacion
IMSS product code
060.748.7410.00
Presentation
Pieza
Each circle represents one of the 6 purchases of PRÓTESIS made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 4 | 1.3 millones MXN | 179,277.3 MXN | 16.5 % | 14.6 | 19 de diciembre de 2011 | |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 2 | 53,420.9 MXN | 7,282.2 MXN | 15.5 % | 0.63 | 1 de marzo de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROVEEDORA RM, S. A. DE C. V. | 3 | 114,911.7 MXN | 15 % | 9.36 | 2011 - 2013 |
| DISPOSITIVOS IMPLANTABLES DE MEXICO, S. A. DE C. V | 2 | 70,147.8 MXN | 18.4 % | 5.68 | 2011 - 2011 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 1 | 1,500 MXN | 15 % | 0.15 | 2009 - 2009 |
Entity type
Material de curacion
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=060.748.7410.00")
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=060.748.7410.00')
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=060.748.7410.00')