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Description
CATETER, PARA CATETERIZACION DE ARTERIA CORONARIA IZQUIERDA, CON TECNICA PERCUTANEA, DE ALTO FLUJO, CALIBRE 6 FR, LONGITUD 100 CM. TIPO: JUDKINS ASA 5.
IMSS product code
060.165.0807.02
Each circle represents one of the 19 purchases of CATÉTERES made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 14 | 115,385.7 MXN | 13,611.7 MXN | 16.1 % | 65.6 | 4 de marzo de 2016 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 3 | 14,432.6 MXN | 2,150.3 MXN | 17.6 % | 11.2 | 1 de febrero de 2010 |
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 32,332.7 MXN | 8,141.5 MXN | 33.7 % | 38.4 | 11 de diciembre de 2013 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 35,912 MXN | 4,953.4 MXN | 16 % | 24.6 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 11 | 9,486.3 MXN | 14.5 % | 46.2 | 2009 - 2016 |
| ESCAMILLA ZENTENO AURORA | 3 | 3,828.8 MXN | 17.8 % | 20.5 | 2009 - 2010 |
| PROMEDICA GARCIA, S. A. DE C. V. | 2 | 1,615 MXN | 26.1 % | 6.27 | 2014 - 2014 |
| CORPORACION ARMO, S.A. DE C.V. | 1 | 8,141.5 MXN | 33.7 % | 38.4 | 2013 - 2013 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 4,953.4 MXN | 16 % | 24.6 | 2011 - 2011 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 1 | 831.9 MXN | 12.7 % | 3.81 | 2015 - 2015 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.165.0807.02")
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=060.165.0807.02')
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=060.165.0807.02')