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Description
DE ECG 3 PUNTAS PARA SU USO EN EL EQUIPO: EQUIPO DE ANESTESIA INTERMEDIO PARA SEGUNDO NIVEL, CLAVE: 531.053.0109, MARCA: DATEXOHMEDA, MODELO: AESTIVA, NUMERO DE CATALOGO: 545317
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.156.1529.00
Each circle represents one of the 15 purchases of CABLE DE PACIENTE made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 6 | 34,631.8 MXN | 3,646.6 MXN | 11.3 % | 4.87 | 26 de enero de 2015 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 11,821 MXN | 5,188.2 MXN | 69.5 % | 3.77 | 4 de octubre de 2013 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 383.4 MXN | 52.9 MXN | 16 % | 0.16 | 12 de diciembre de 2011 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 1,183.2 MXN | 104.6 MXN | 9.7 % | 0.194 | 4 de junio de 2015 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 1,508 MXN | 341.3 MXN | 29.3 % | 0.293 | 3 de septiembre de 2010 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 2,364.8 MXN | 308.4 MXN | 15 % | 0.3 | 10 de julio de 2009 |
| H. de Gineco Obstetricia No. 3 "Dr. Víctor Manuel Espinosa de los Reyes Sánchez" La Raza Umae Gineco - Obstetricia La Raza | Ciudad de México | 1 | 32,480 MXN | 3,880 MXN | 13.6 % | 2.71 | 11 de mayo de 2012 |
| H. de Traumatología y Ortopedia, Lomas Verdes Umae Traumatologia Y Ortopedia Lomas Verdes | Estado de México | 1 | 1,063.7 MXN | 151 MXN | 16.5 % | 0.165 | 8 de abril de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 3 | 2,073.2 MXN | 8.03 % | 2.35 | 2012 - 2015 |
| DISTRIBUIDORA DE EQUIPO MEDICO E INDUSTRIAL DE MEX | 2 | 361.3 MXN | 15.5 % | 0.46 | 2009 - 2011 |
| MULTI MEDICA, S.A. DE C.V. | 2 | 218.7 MXN | 9.37 % | 0.187 | 2010 - 2010 |
| NEW WORLD TECHNOLOGY S.A. DE C.V. | 2 | 1,323.2 MXN | 27.9 % | 2 | 2013 - 2014 |
| SUMINISTRO MEDICO AVANZADO S.DE R.L. DE C.V. | 2 | 4,825 MXN | 84.4 % | 3.37 | 2012 - 2012 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | 341.3 MXN | 29.3 % | 0.293 | 2010 - 2010 |
| INSTRUMENTOS Y PRODUCTOS BIOMEDICOS DE MEXICO, S.A | 1 | 499.4 MXN | 18.5 % | 0.926 | 2015 - 2015 |
| MED PHONE DE CONTACTO, S. A. DE C. V. | 1 | 151 MXN | 16.5 % | 0.165 | 2013 - 2013 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 3,880 MXN | 13.6 % | 2.71 | 2012 - 2012 |
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=379.156.1529.00")
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=379.156.1529.00')
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=379.156.1529.00')