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Description
Endoprótesis metálica autoexpandible para angioplastía carotídea premontada para sistema de liberación sobre la guía. Estéril. Diámetro: 5 mm. Longitud: 6 cm (60 mm)
Classification
Material médico. Material de curacion
IMSS product code
060.748.7360.00
Presentation
Pieza
Each circle represents one of the 25 purchases of PRÓTESIS made by the IMSS between 2010 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LEVBETH MEDICAL, S.A. DE C.V. | 11 | 2 millones MXN | 195.9 % | 29.4 | 2015 - 2018 |
| ESCAMILLA ZENTENO AURORA | 2 | 23,320.4 MXN | 5.91 % | 1.96 | 2010 - 2011 |
| JAR MEDICAL, S. A. DE C. V. | 2 | - MXN | - | - | 2016 - 2018 |
| PROVEEDORA RM, S. A. DE C. V. | 2 | 181,323.7 MXN | 17.8 % | 15.9 | 2011 - 2011 |
| CORVASC DEVICES, S.A. DE C.V. | 1 | 9,530.3 MXN | 27 % | 0.811 | 2013 - 2013 |
| DISPOSITIVOS IMPLANTABLES DE MEXICO, S. A. DE C. V | 1 | 56,639.4 MXN | 24.6 % | 4.68 | 2011 - 2011 |
| GLORIA MAYELA DE LA TORRE ALBA | 1 | 34,926.2 MXN | 13.5 % | 2.97 | 2013 - 2013 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 1 | 6,160 MXN | 16 % | 0.16 | 2014 - 2014 |
| MEDICINA MINIMA INVASIVA, S.A DE C.V. | 1 | 15,092 MXN | 128.9 % | 1.29 | 2010 - 2010 |
| MEDSTENT, S.A. DE C.V. | 1 | - MXN | - | - | 2017 - 2017 |
| NORTECHMEDICAL S.A. DE C.V. | 1 | 30,163.6 MXN | 13.5 % | 2.57 | 2013 - 2013 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 9,997.6 MXN | 85.1 % | 0.851 | 2013 - 2013 |
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=060.748.7360.00")
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=060.748.7360.00')
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=060.748.7360.00')