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Description
Endoprótesis. metálica autoexpandible para carótida interna intracraneal para sistema de liberación sobre la guía. Estéril. Diámetro: 6 mm Longitud: 4 cm
Classification
Material médico. Material de curacion
IMSS product code
060.748.7543.00
Presentation
Pieza
Each circle represents one of the 5 purchases of PRÓTESIS made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 3 | 345,854.9 MXN | 47,704.1 MXN | 16 % | 3.84 | 19 de diciembre 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 | 116,000 MXN | 16,000 MXN | 16 % | 0.16 | 29 de noviembre de 2018 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 38,280 MXN | 5,280 MXN | 16 % | 0.48 | 15 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISPOSITIVOS IMPLANTABLES DE MEXICO, S. A. DE C. V | 2 | 33,954.5 MXN | 16.2 % | 2.74 | 2011 - 2011 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 1 | 5,280 MXN | 16 % | 0.48 | 2010 - 2010 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 16,000 MXN | 16 % | 0.16 | 2018 - 2018 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 13,749.6 MXN | 15.7 % | 1.1 | 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=060.748.7543.00")
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=060.748.7543.00')
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=060.748.7543.00')