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Description
PARA 5 DERIVACIONES ECG CON NUMERO DE CATALOGO: 545303 PARA SU USO EN EL EQUIPO CON CLAVE: 531.632.0521 CENTRAL DE MONITORIZACION DE CONSTANTES VITALES PARA 12 CAMAS, MARCA: DATEXOHMEDA, MODELO: CS/3. PIEZA
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.156.1735.01
Each circle represents one of the 5 purchases of CABLE TRONCAL made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 3 | 2,303 MXN | 317.7 MXN | 16 % | 0.64 | 11 de julio de 2014 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 5,985.6 MXN | 825.6 MXN | 16 % | 3.84 | 1 de marzo de 2013 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 1 | 15,694.8 MXN | 2,164.8 MXN | 16 % | 3.52 | 11 de enero de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA DE EQUIPO MEDICO E INDUSTRIAL DE MEX | 2 | 174.3 MXN | 16 % | 0.32 | 2010 - 2010 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 143.4 MXN | 16 % | 0.32 | 2014 - 2014 |
| FLEXUS, SA DE CV | 1 | 2,164.8 MXN | 16 % | 3.52 | 2018 - 2018 |
| INSTRUMENTOS Y PRODUCTOS BIOMEDICOS DE MEXICO, S.A | 1 | 825.6 MXN | 16 % | 3.84 | 2013 - 2013 |
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=379.156.1735.01")
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=379.156.1735.01')
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=379.156.1735.01')