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Description
Endoprótesis metálica autoexpandible para angioplastía carotídea premontada para sistema de liberación sobre la guía. Estéril. Diámetro: 4 mm. Longitud: 6 cm (60 mm)
Classification
Material médico. Material de curacion
IMSS product code
060.748.7352.00
Presentation
Pieza
Each circle represents one of the 22 purchases of PRÓTESIS made by the IMSS between 2009 and 2019.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 4 | 100,617.9 MXN | 25.4 % | 8.62 | 2009 - 2013 |
| LEVBETH MEDICAL, S.A. DE C.V. | 4 | 366,759.6 MXN | 18.3 % | 16.3 | 2015 - 2019 |
| ESCAMILLA ZENTENO AURORA | 3 | 94,862 MXN | 14.3 % | 8.56 | 2010 - 2011 |
| DISPOSITIVOS IMPLANTABLES DE MEXICO, S. A. DE C. V | 2 | 77,670.4 MXN | 16.6 % | 6.98 | 2011 - 2011 |
| JAR MEDICAL, S. A. DE C. V. | 2 | 16,478 MXN | 6.28 % | 1.51 | 2016 - 2018 |
| CORVASC DEVICES, S.A. DE C.V. | 1 | 2,888.8 MXN | 24 % | 0.24 | 2013 - 2013 |
| EL CIRUJANO, S.A DE C.V | 1 | 4,525.1 MXN | 35.7 % | 0.414 | 2016 - 2016 |
| ENDOMEDICA,S. A. DE C. V. | 1 | 54,869.4 MXN | 13.5 % | 4.86 | 2011 - 2011 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 1 | 7,084 MXN | 16 % | 0.16 | 2014 - 2014 |
| MEDSTENT, S.A. DE C.V. | 1 | 4,805.8 MXN | 16 % | 0.32 | 2017 - 2017 |
| NORTECHMEDICAL S.A. DE C.V. | 1 | 38,988 MXN | 10.8 % | 3.24 | 2013 - 2013 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 72,112.7 MXN | 15.7 % | 6.6 | 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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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=060.748.7352.00")
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=060.748.7352.00')
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=060.748.7352.00')