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Description
PARA PACIENTE PEDIÁTRICO PAQUETE CON: LIMBO INSPIRATORIO CALENTADO (LONGITUD: 1.5M) LIMBO ESPIRATORIO SIN CALENTAR CON SEPARADOR DE AGUA (LONGITUD: 1.65M), MANGUERA DE CONEXION DE HUMIDIFICADOR.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.200.2499.00
Each circle represents one of the 5 purchases of CIRCUITO DESECHABLE made by the IMSS between 2014 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 57,420 MXN | 18,653 MXN | 48.1 % | 4.33 | 30 de noviembre de 2015 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 6,083 MXN | 2,127.7 MXN | 53.8 % | 8.07 | 23 de septiembre de 2014 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 587,145.6 MXN | 70,252.6 MXN | 13.6 % | 16.3 | 16 de abril de 2015 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 5,846.4 MXN | - MXN | - | - | 6 de junio de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 3 | 88,905.6 MXN | 36.6 % | 20.6 | 2015 - 2015 |
| INVESTIGACION Y DESARROLLO EN EQU. MED., SA CV | 1 | 2,127.7 MXN | 53.8 % | 8.07 | 2014 - 2014 |
| MEDICA AVANZADA, S. A. DE C. V. | 1 | - MXN | - | - | 2014 - 2014 |
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=379.200.2499.00")
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=379.200.2499.00')
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=379.200.2499.00')