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Description
CATETERES PARA EMBOLIZACION ENDOVASCULAR INTRACRANEAL. DE TRES CAPAS, CON CUERPO ENMALLADO EN ACERO INOXIDABLE, CON PUNTA RECTA. DIAMETRO EXTERNO FR. 8 DIAMETRO INTERNO MM. 0.084" (0.210) LONGITUD CM. 100
IMSS product code
060.463.2141.02
Each circle represents one of the 22 purchases of CATÉTERES made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 18 | 673,043.6 MXN | 163,193.4 MXN | 103.8 % | 31 | 14 de diciembre de 2018 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 3 | 83,984 MXN | 13,866.7 MXN | 6.86 % | 4.12 | 8 de noviembre de 2011 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 25,910.5 MXN | 3,379.6 MXN | 15 % | 1.5 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LEVBETH MEDICAL, S.A. DE C.V. | 16 | 177,060.1 MXN | 118 % | 35.1 | 2010 - 2018 |
| JAR MEDICAL, S. A. DE C. V. | 3 | - MXN | - | - | 2012 - 2013 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 2 | - MXN | - | - | 2011 - 2011 |
| DISTRIBUIDORA INTER. DE MEDS. Y EQ. MEDICO, SA CV | 1 | 3,379.6 MXN | 15 % | 1.5 | 2009 - 2009 |
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=060.463.2141.02")
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=060.463.2141.02')
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=060.463.2141.02')