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Description
DE SILICON NO0, PARA SU USO EN EL EQUIPO: EQUIPO DE ANESTESIA INTERMEDIO PARA SEGUNDO NIVEL, CLAVE: 531 053 0109, MARCA: DATEXOHMEDA, MODELO: AESTIVA, NÚMERO DE CATÁLOGO: 420155000.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0709.00
Each circle represents one of the 17 purchases of MASCARILLA made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 6 | 57,918.8 MXN | 9,379.2 MXN | 38.4 % | 49.5 | 24 de mayo de 2016 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 3 | 6,936.8 MXN | 780.8 MXN | 17 % | 3.48 | 22 de julio de 2011 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 2 | 2,830.4 MXN | 138.2 MXN | 84.1 % | 3.37 | 16 de octubre de 2015 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 2 | 1,364.2 MXN | 670.7 MXN | 98.9 % | 7.6 | 1 de febrero de 2016 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 57,877.5 MXN | 10,820.9 MXN | 23 % | 73.6 | 21 de junio de 2013 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 482.6 MXN | - MXN | - | - | 20 de abril de 2016 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 1,809.6 MXN | 357.6 MXN | 24.6 % | 1.48 | 20 de mayo de 2011 |
| H. de Gineco Obstetricia Núm. 4 "Dr. Luis Castelazo Ayala" Umae Gineco - Obstetricia No. 4 (d.f. Sur) | Ciudad de México | 1 | 2,875 MXN | 375 MXN | 15 % | 7.5 | 28 de abril de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 7 | 7,756.6 MXN | 42.8 % | 29.7 | 2010 - 2015 |
| NEW WORLD TECHNOLOGY S.A. DE C.V. | 2 | 670.7 MXN | 98.9 % | 7.6 | 2014 - 2016 |
| TECNO COMERCIAL PAKTLI, S. A. DE C. V. | 2 | 532.2 MXN | 6.48 % | 13 | 2015 - 2016 |
| AZTEC MEDICA, S.A. DE C.V. | 1 | - MXN | - | - | 2016 - 2016 |
| DISTRIBUIDORA MEDICO TECNICA LA UNION, S.A. DE C. | 1 | - MXN | - | - | 2013 - 2013 |
| G MEDICA, S.A. DE C.V. | 1 | 357.6 MXN | 24.6 % | 1.48 | 2011 - 2011 |
| HI-TEC MEDICAL, S.A. DE C.V. | 1 | 10,820.9 MXN | 23 % | 73.6 | 2013 - 2013 |
| INSTRUMENTOS BIOTECNOLOGICOS DE MEXICO, SA DE CV | 1 | 375 MXN | 15 % | 7.5 | 2009 - 2009 |
| LITO MEDICAL S.A. DE C.V. | 1 | 2,009.5 MXN | 136.7 % | 13.7 | 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=379.614.0709.00")
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=379.614.0709.00')
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=379.614.0709.00')