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Description
PARA LA DETERMINACION DE LOS NIVELES SANGUINEOS DE MOFETIL MICOFENOLATO NOMBRE COMERCIAL EMIT 2000 ACIDO MICOFENOLICO NÚMERO DE CATÁLOGO: 6R919, PARA SU USO EN EL EQUIPO:
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.760.9702.00
Presentation
CAJA CON 2 FRASCOS 1 CON 30 ML Y 1 CON 15 ML.
Each circle represents one of the 33 purchases of REACTIVO 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, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 11 | 7 millones MXN | 953,405.1 MXN | 15.8 % | 55.8 | 19 de enero de 2016 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 11 | 7.2 millones MXN | 1 millones MXN | 16.4 % | 59.6 | 1 de enero de 2018 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 7 | 1.3 millones MXN | 157,956.7 MXN | 13.3 % | 8.7 | 21 de diciembre de 2016 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila - Su-almacen | Coahuila | 4 | 4.5 millones MXN | 622,192.3 MXN | 16 % | 32.3 | 1 de enero de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| EL BC SUPPLY, S. A. DE C. V. | 33 | 2.7 millones MXN | 15.5 % | 156.5 | 2009 - 2018 |
Entity type
Consumibles de equipos medicos y 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=379.760.9702.00")
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=379.760.9702.00')
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=379.760.9702.00')