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Description
Tetrofosmin. Sustancia no radioactiva que se utiliza para la preparación de radiofármacos que se puede marcar con actividad igual o mayor a 2960 megabecquereles (MBq)
Classification
Material médico. Material de laboratorio
IMSS product code
080.825.1144.00
Presentation
Estuche con 5 frascos RTC
Each circle represents one of the 33 purchases of RADIOFÁRMACOS Y GENERADORES DE RADIONUCLIDOS made by the IMSS between 2009 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 | 13 | 7.8 millones MXN | 944,028 MXN | 14.1 % | 30.3 | 21 de diciembre de 2018 |
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 9 | 2.1 millones MXN | 374,075.8 MXN | 23.8 % | 14.5 | 20 de marzo de 2018 |
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 5 | 7.5 millones MXN | 1.2 millones MXN | 12.8 % | 39.1 | 23 de mayo de 2012 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 4 | 663,206.3 MXN | 96,053.3 MXN | 16.1 % | 3.38 | 11 de marzo de 2015 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 2 | 549,743.6 MXN | 116,089.7 MXN | 39.6 % | 6.3 | 28 de diciembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDIDORES INDUSTRIALES Y MEDICOS, SA DE CV | 33 | 2.7 millones MXN | 18.4 % | 93.7 | 2009 - 2018 |
Entity type
Material de laboratorio
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=080.825.1144.00")
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=080.825.1144.00')
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=080.825.1144.00')