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Description
CATETER, PARA CATETERIZACION DE ARTERIA CORONARIA IZQUIERDA, CON TECNICA PERCUTANEA, DE ALTO FLUJO, DIAMETRO 6 FR. LONGITUD 100 CM. MODELO JUDKINS ASA 3.5.
IMSS product code
060.165.0781.01
Each circle represents one of the 22 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 | 15 | 1.8 millones MXN | 249,251.2 MXN | 17.8 % | 1,153.4 | 4 de marzo de 2016 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 4 | 1.4 millones MXN | 185,092.8 MXN | 14.9 % | 928.4 | 19 de diciembre de 2011 | |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 3 | 77,137.5 MXN | 10,255.3 MXN | 10.6 % | 55.2 | 1 de abril de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 14 | 222,209 MXN | 12.4 % | 1,103.5 | 2009 - 2016 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 4 | 113,855.3 MXN | 22.2 % | 476.8 | 2014 - 2015 |
| DISPOSITIVOS IMPLANTABLES DE MEXICO, S. A. DE C. V | 2 | 66,524.8 MXN | 15.9 % | 334 | 2011 - 2011 |
| ESCAMILLA ZENTENO AURORA | 1 | 27,694.4 MXN | 15.7 % | 149.3 | 2010 - 2010 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 14,315.7 MXN | 49.1 % | 73.6 | 2011 - 2011 |
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=060.165.0781.01")
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=060.165.0781.01')
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=060.165.0781.01')