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Description
Endoprótesis metálica autoexpandible para angioplastía carotídea premontada para sistema de liberación sobre la guía. Estéril. Diámetro: 10 mm. Longitud: 2-6 cm (20-60 mm)
Classification
Material médico. Material de curacion
IMSS product code
060.748.7394.00
Presentation
Pieza
Each circle represents one of the 3 purchases of PRÓTESIS made by the IMSS between 2011 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 529,316.2 MXN | 73,009.1 MXN | 16.5 % | 5.76 | 8 de febrero de 2011 | |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 40,368 MXN | 5,568 MXN | 16 % | 0.16 | 1 de agosto de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ARW SOLUTIONS, S.A. DE C.V. | 1 | 5,568 MXN | 16 % | 0.16 | 2016 - 2016 |
| DISPOSITIVOS IMPLANTABLES DE MEXICO, S. A. DE C. V | 1 | 33,672.9 MXN | 19 % | 2.66 | 2011 - 2011 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 39,336.2 MXN | 14.1 % | 3.1 | 2011 - 2011 |
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=060.748.7394.00")
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=060.748.7394.00')
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=060.748.7394.00')