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Description
METOXI-ISOBUTIL-ISONITRILO -(MIBI) SUSTANCIA QUIMICA QUESE UTILIZA PARA LA PREPARACION DE RADIOFARMACOS RTC.
IMSS product code
080.827.0987.02
Each circle represents one of the 9 purchases of PRECURSORES DE RADIOFÁRMACOS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 4 | 939,242.7 MXN | 129,550.7 MXN | 18.4 % | 6.56 | 16 de febrero de 2018 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 2 | 327,120 MXN | 48,065.5 MXN | 17.1 % | 2.05 | 1 de enero de 2011 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 2 | 3.7 millones MXN | 489,210.5 MXN | 15.4 % | 18.5 | 25 de enero de 2010 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 492,536 MXN | 67,936 MXN | 16 % | 8 | 9 de junio de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ACCESOFARM, S.A. DE C.V. | 3 | 112,651.9 MXN | 21.5 % | 5.46 | 2015 - 2018 |
| ACCESORIOS PARA LABORATORIOS, S.A. DE C.V. | 3 | 518,076 MXN | 16.3 % | 19.6 | 2009 - 2010 |
| INSTITUTO NACIONAL DE INVESTIGACIONES NUCLEARES | 1 | 67,936 MXN | 16 % | 8 | 2014 - 2014 |
| MALLINCKRODT MEDICAL, S.A. DE C.V. | 1 | 19,200 MXN | 16 % | 0.96 | 2011 - 2011 |
| MEDIDORES INDUSTRIALES Y MEDICOS, SA DE CV | 1 | 16,898.8 MXN | 9.14 % | 1.1 | 2015 - 2015 |
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=080.827.0987.02")
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=080.827.0987.02')
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=080.827.0987.02')