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Description
GRAPAS PARA ANEURISMA, TAMAYO ESTANDAR, FENESTRADA, DE MATERIAL NO MAGNETICO, PERMANENTE CON UN DIAMETRO DE FENESTRACION EN UN RANGO DE 3.0 A 3.5 MM EN ANGULO DE 45 GRADOS. TIPO: YASARGIL. LONGITUD DE QUIJADA. 5/9 MM APERTURA. 5.8
IMSS product code
060.446.2168.02
Each circle represents one of the 11 purchases of GRAPAS made by the IMSS between 2008 and 2017.
| 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 | 6 | 60,601.1 MXN | 8,173.6 MXN | 15.8 % | 3.39 | 13 de marzo de 2014 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 4 | 19,364.4 MXN | 2,671 MXN | 15.4 % | 0.8 | 2 de junio de 2017 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 4,844.2 MXN | 668.2 MXN | 16 % | 0.16 | 20 de enero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| B. BRAUN AESCULAP DE MEXICO, S.A. DE C.V. | 5 | 5,498.8 MXN | 14.9 % | 2.7 | 2008 - 2017 |
| DURFA, S. A. DE C. V. | 2 | 1,963.9 MXN | 16 % | 0.48 | 2010 - 2012 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 2 | 2,159.6 MXN | 16 % | 0.64 | 2010 - 2010 |
| AARSON PRODUCTOS HOSPITALARIOS, S.A. DE C.V. | 1 | 668.2 MXN | 16 % | 0.16 | 2011 - 2011 |
| DEWIMED, S. A. | 1 | 1,222.2 MXN | 18.3 % | 0.366 | 2017 - 2017 |
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=060.446.2168.02")
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=060.446.2168.02')
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=060.446.2168.02')