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Description
Ga67-Citrato de Galio. Radiofármaco de origen con pureza radioquímica igual o mayor al 90% y actividad específica de 222 megabecquereles(MBq)
Classification
Material médico. Material de laboratorio
IMSS product code
080.825.0864.00
Presentation
Frasco TATC
Each circle represents one of the 38 purchases of RADIOFÁRMACOS Y GENERADORES DE RADIONUCLIDOS made by the IMSS between 2010 and 2019.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 21 | 178,995 MXN | 32,369.8 MXN | 30.3 % | 11.2 | 21 de enero de 2019 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 7 | 1.6 millones MXN | 232,093.6 MXN | 28.6 % | 60.8 | 18 de abril de 2018 |
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 7 | 816,616.8 MXN | 115,900.6 MXN | 13 % | 71.1 | 27 de abril de 2012 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 3 | 118,751.7 MXN | 7,156.9 MXN | 27.2 % | 4.42 | 31 de octubre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDIDORES INDUSTRIALES Y MEDICOS, SA DE CV | 27 | 128,648.2 MXN | 27.7 % | 52.8 | 2010 - 2016 |
| ACCESOFARM, S.A. DE C.V. | 8 | 168,536.9 MXN | 28.7 % | 36.1 | 2011 - 2019 |
| MALLINCKRODT MEDICAL, S.A. DE C.V. | 3 | 90,335.8 MXN | 10.8 % | 58.6 | 2010 - 2011 |
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=080.825.0864.00")
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=080.825.0864.00')
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=080.825.0864.00')