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Description
ADULTO PEDIÁTRICO REQUIERE CABLE SAT LEAD CON NÚMERO DE CATÁLOGO: OXYAF-10 PARA SU USO EN EL EQUIPO CON CLAVE: 531 053 0356 UNIDAD DE ANESTESIA DE ALTA ESPECIALIDAD, MARCA: DATEXOHMEDA, MODELO: ADU.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.0143.01
Each circle represents one of the 6 purchases of SENSOR DE (SPO2) made by the IMSS between 2013 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 4 | 3,114.3 MXN | 324 MXN | 12 % | 0.8 | 7 de marzo de 2018 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 7,308 MXN | 3,828 MXN | 110 % | 2.2 | 9 de junio de 2016 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 2,216.9 MXN | 305.8 MXN | 16 % | 0.96 | 11 de noviembre de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 3 | 148.8 MXN | 10.7 % | 0.48 | 2015 - 2017 |
| ASMITA MEDICA, S.A. DE C.V. | 1 | 3,828 MXN | 110 % | 2.2 | 2016 - 2016 |
| CORTES TAMEZ ROGELIO XAVIER | 1 | 175.2 MXN | 16 % | 0.32 | 2018 - 2018 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 1 | 305.8 MXN | 16 % | 0.96 | 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=379.808.0143.01")
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=379.808.0143.01')
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=379.808.0143.01')