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Description
DE SILICON NO0, CON NÚMERO DE CATÁLOGO: 420155000 PARA SU USO EN EL EQUIPO CON CLAVE: 531 053 0109 EQUIPO DE ANESTESIA INTERMEDIO PARA SEGUNDO NIVEL.MARCA: DATEXOHMEDA, MODELO: AESTIVA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0709.01
Each circle represents one of the 21 purchases of MASCARILLA made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Gineco Obstetricia Núm. 4 "Dr. Luis Castelazo Ayala" Umae Gineco - Obstetricia No. 4 (d.f. Sur) | Ciudad de México | 4 | 13,600.8 MXN | 3,886.7 MXN | 69.2 % | 35.8 | 31 de marzo de 2014 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 3 | 6,211.8 MXN | 996.6 MXN | 20.3 % | 8.58 | 28 de diciembre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 3 | 3,828 MXN | 498.2 MXN | 56.7 % | 4.75 | 27 de julio de 2016 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 3 | 13,353.9 MXN | 1,192 MXN | 91.6 % | 12.1 | 31 de marzo de 2017 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 13,641.6 MXN | 1,651 MXN | 13.8 % | 16.5 | 20 de agosto de 2014 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 2 | 1,018.9 MXN | 139.6 MXN | 15.9 % | 1.11 | 2 de mayo de 2018 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 1,450 MXN | - MXN | - | - | 20 de septiembre de 2013 |
| Delegación Coahuila | Coahuila | 1 | 417.6 MXN | 158.3 MXN | 61.1 % | 1.42 | 15 de agosto de 2013 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 6,902 MXN | 879.5 MXN | 14.6 % | 4.96 | 16 de febrero de 2012 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 1,276 MXN | 677.3 MXN | 113.1 % | 5.66 | 26 de octubre de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 6 | 1,356.4 MXN | 56.2 % | 12.9 | 2010 - 2017 |
| CONTINENTAL MEXICANA DE PRODUCTOS, S.A. DE C.V. | 2 | 1,651 MXN | 13.8 % | 16.5 | 2014 - 2014 |
| AZTEC MEDICA, S.A. DE C.V. | 1 | 254.4 MXN | 16 % | 1.6 | 2014 - 2014 |
| CASA PLARRE, S.A. DE C.V. | 1 | 158.3 MXN | 61.1 % | 1.42 | 2013 - 2013 |
| CORREA AYALA GEORGINA | 1 | 1,918.4 MXN | 107.3 % | 17.2 | 2013 - 2013 |
| DISTRIBUIDORA MEDICO TECNICA LA UNION, S.A. DE C. | 1 | - MXN | - | - | 2013 - 2013 |
| ESQUIVEL UGALDE JOSE ANTONIO | 1 | 677.3 MXN | 113.1 % | 5.66 | 2017 - 2017 |
| G MEDICA, S.A. DE C.V. | 1 | 879.5 MXN | 14.6 % | 4.96 | 2012 - 2012 |
| GRUPO COMERCIAL TENDENZZIAS, S.A. DE C.V. | 1 | 56.4 MXN | 15.7 % | 0.471 | 2017 - 2017 |
| INSTRUMENTOS BIOMEDICOS DE MEXICO, S.A. DE C.V. | 1 | 1,103 MXN | 138 % | 11 | 2014 - 2014 |
| INSTRUMENTOS BIOTECNOLOGICOS DE MEXICO, SA DE CV | 1 | 554.3 MXN | 9.71 % | 5.83 | 2011 - 2011 |
| INSTRUMENTOS Y PRODUCTOS BIOMEDICOS DE MEXICO, S.A | 1 | 310.9 MXN | 21.9 % | 1.76 | 2012 - 2012 |
| MULTI MEDICA, S.A. DE C.V. | 1 | 136.8 MXN | 143.8 % | 1.44 | 2011 - 2011 |
| PROTECNOLOGICA INTEGRAL MUVA, S.A. DE C.V. | 1 | 939.1 MXN | 9.13 % | 9.4 | 2014 - 2014 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 83.2 MXN | 16 % | 0.64 | 2018 - 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=379.614.0709.01")
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=379.614.0709.01')
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=379.614.0709.01')