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Description
DFEND PRO + REUSABLE, ADULTO NÚMERO DE CATÁLOGO: M1200227, PARA SU USO EN EL EQUIPO: CENTRAL DE MONITOREO MULTIPLES CAMAS, SEIS CAMAS, ADULTO CLAVE: 531.632.0554.03.01
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.892.0454.00
Presentation
CAJA CON 10 PIEZAS.
Each circle represents one of the 4 purchases of TRAMPA DE AGUA made by the IMSS between 2018 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 1 | 81,345 MXN | 46,053.7 MXN | 130.5 % | 6.52 | 19 de junio de 2018 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 1 | 127,600 MXN | 57,017.5 MXN | 80.8 % | 8.08 | 13 de febrero de 2018 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 227,360 MXN | 86,194.9 MXN | 61.1 % | 12.2 | 22 de mayo de 2018 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 177,763 MXN | - MXN | - | - | 21 de febrero de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 2 | 143,212.4 MXN | 70.9 % | 20.3 | 2018 - 2018 |
| DEMACA MEXICO, S.A. DE C.V. | 1 | 46,053.7 MXN | 130.5 % | 6.52 | 2018 - 2018 |
| FLEXUS, SA DE CV | 1 | - MXN | - | - | 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=379.892.0454.00")
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=379.892.0454.00')
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=379.892.0454.00')