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Description
DE ECG DE 3 PUNTAS (3 METROS) PARA SU USO EN EL EQUIPO: CENTRAL DE MONITORIZACION DE CONSTANTES VITALES PARA 12 CAMAS, CLAVE: 531.632.0521, MARCA: DATEXOHMEDA, MODELO: CS/3, NUMERO DE CATALOGO: 545302
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.156.1693.00
Each circle represents one of the 4 purchases of CABLE TRONCAL made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 3,306 MXN | 456 MXN | 16 % | 0.16 | 20 de julio de 2010 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 9,280 MXN | 1,280 MXN | 16 % | 0.64 | 8 de junio de 2015 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 1,035 MXN | 37.7 MXN | 3.78 % | 0.0378 | 18 de marzo de 2009 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 1 | 41,400 MXN | 5,497.3 MXN | 15.3 % | 5.51 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 2 | 5,535 MXN | 9.55 % | 5.55 | 2009 - 2009 |
| MEDEL SORIANO FORTUNATA MIRELLA | 1 | 456 MXN | 16 % | 0.16 | 2010 - 2010 |
| SERVICIOS DE INGENIERIA EN MEDICINA DEL NORESTE, S | 1 | 1,280 MXN | 16 % | 0.64 | 2015 - 2015 |
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=379.156.1693.00")
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=379.156.1693.00')
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=379.156.1693.00')