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Description
GENERADOR DE MO99 (MOLIBDENO)-TC99M (TECNECIO) CON BLINDAJE DE PLOMO, MINIMO 50 MM DE ESPESOR ALREDEDOR DE LA COLUMNA, PARA OBTENER ELUSION DE TC99M CON RENDIMIENTO DE TC99M DE 100%. RADIOFARMACO CON PUREZA RADIOQUIMICA IGUAL O
IMSS product code
080.825.1003.01
Each circle represents one of the 20 purchases of RADIOFÁRMACOS Y GENERADORES DE RADIONUCLIDOS made by the IMSS between 2011 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 10 | 4.3 millones MXN | 429,242.3 MXN | 8.31 % | 14.5 | 28 de marzo de 2017 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 9 | 37.3 millones MXN | 5.4 millones MXN | 20.8 % | 121.1 | 2 de enero de 2018 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 1.1 millones MXN | 138,249.7 MXN | 14.6 % | 2.04 | 12 de septiembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDIDORES INDUSTRIALES Y MEDICOS, SA DE CV | 13 | 3.5 millones MXN | 11.1 % | 88 | 2013 - 2018 |
| ACCESOFARM, S.A. DE C.V. | 5 | 1.8 millones MXN | 12.8 % | 27.4 | 2011 - 2018 |
| INSTITUTO NACIONAL DE INVESTIGACIONES NUCLEARES | 2 | 581,671 MXN | 38.4 % | 22.3 | 2012 - 2013 |
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=080.825.1003.01")
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=080.825.1003.01')
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=080.825.1003.01')