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Description
CATETERES PARA CATETERIZACION DE ARTERIA CORONARIA IZQUIERDA, ASA 4, CALIBRE 7 FR. LONGITUD 100 CM. TIPO: JUDKINS.
IMSS product code
060.167.1886.11
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 | 13 | 262,752.9 MXN | 32,277.4 MXN | 14.1 % | 161.6 | 4 de marzo de 2016 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 4 | 19,838.9 MXN | 6,641.5 MXN | 68.1 % | 31.4 | 1 de febrero de 2010 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 923.4 MXN | 182.2 MXN | 24.6 % | 0.983 | 11 de mayo de 2010 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 152,742.6 MXN | 21,067.9 MXN | 16 % | 104.8 | 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. | 10 | 22,462.3 MXN | 12.8 % | 113.7 | 2009 - 2016 |
| ESCAMILLA ZENTENO AURORA | 3 | 8,001.9 MXN | 13.7 % | 42.7 | 2009 - 2010 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 3 | 5,583.2 MXN | 85.5 % | 25.7 | 2009 - 2009 |
| PROMEDICA GARCIA, S. A. DE C. V. | 2 | 3,053.6 MXN | 27.2 % | 12 | 2014 - 2014 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 21,067.9 MXN | 16 % | 104.8 | 2011 - 2011 |
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=060.167.1886.11")
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=060.167.1886.11')
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=060.167.1886.11')