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Description
DE SILICON NO0, PARA SU USO EN EL EQUIPO: UNIDAD DE ANESTESIA DE ALTA ESPECIALIDAD, CLAVE: 531 053 0356, MARCA: DATEXOHMEDA, MODELO: ADU, NÚMERO DE CATÁLOGO: 420155000.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0717.00
Each circle represents one of the 5 purchases of MASCARILLA made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 32,804.8 MXN | 4,600.5 MXN | 19 % | 12.7 | 22 de junio de 2012 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 2,204 MXN | 304 MXN | 16 % | 3.2 | 16 de octubre de 2015 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 95,497.9 MXN | 13,172.1 MXN | 16 % | 84.5 | 21 de junio de 2013 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 179.4 MXN | - MXN | - | - | 3 de julio de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMEDICAL, S.A. DE C.V. | 2 | 4,600.5 MXN | 19 % | 12.7 | 2009 - 2012 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | 304 MXN | 16 % | 3.2 | 2015 - 2015 |
| CIRUGIA Y MEDICAMENTOS, S.A. DE C.V | 1 | - MXN | - | - | 2009 - 2009 |
| HI-TEC MEDICAL, S.A. DE C.V. | 1 | 13,172.1 MXN | 16 % | 84.5 | 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=379.614.0717.00")
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=379.614.0717.00')
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=379.614.0717.00')