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Description
DE DEDO (NO REQUIERE CABLE) CON NÚMERO DE CATÁLOGO: OXYF4N PARA SU USO EN EL EQUIPO CON CLAVE: 531 053 0109 EQUIPO DE ANESTESIA INTERMEDIO PARA SEGUNDO NIVEL MARCA: DATEXOHMEDA, MODELO: AESTIVA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.0242.01
Each circle represents one of the 19 purchases of SENSOR DE SATURACION made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 9 | 74,145 MXN | 9,117.1 MXN | 33.8 % | 10.1 | 11 de junio de 2015 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 3 | 30,374.6 MXN | 6,234.8 MXN | 106.9 % | 14.4 | 8 de agosto de 2017 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila - Su-almacen | Coahuila | 2 | 13,746 MXN | - MXN | - | - | 6 de agosto de 2015 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 2 | 67,266.3 MXN | 8,904.3 MXN | 15.5 % | 2.35 | 25 de julio de 2011 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 6,496 MXN | 936.7 MXN | 16.8 % | 1.35 | 1 de enero de 2014 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 4,854.6 MXN | 827.1 MXN | 20.5 % | 1.85 | 31 de marzo de 2017 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 42,302.9 MXN | 5,834.9 MXN | 16 % | 2.88 | 3 de julio de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 4 | 3,227.1 MXN | 9.13 % | 3.45 | 2011 - 2017 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 2 | 3,241.2 MXN | 8.58 % | 7.9 | 2015 - 2016 |
| INSTRUMENTOS Y PRODUCTOS BIOMEDICOS DE MEXICO, S.A | 2 | 1,255.2 MXN | 13.5 % | 2.06 | 2014 - 2017 |
| MIRANDA DUE?AS MANUEL ANGEL | 2 | 640 MXN | 17.6 % | 0.352 | 2013 - 2013 |
| NEW WORLD TECHNOLOGY S.A. DE C.V. | 2 | 1,722.8 MXN | 8.44 % | 2.21 | 2013 - 2014 |
| DISTRIBUIDORA PE-CER S.A. DE C.V. | 1 | 4,179.3 MXN | 200.5 % | 6.01 | 2014 - 2014 |
| INSTRUMEDICAL, S.A. DE C.V. | 1 | 6,504.3 MXN | 15 % | 0.75 | 2009 - 2009 |
| LITO MEDICAL S.A. DE C.V. | 1 | 26 MXN | 0.156 % | 0.0375 | 2014 - 2014 |
| MEDICA BESSER, S.A. DE C.V. | 1 | 5,834.9 MXN | 16 % | 2.88 | 2018 - 2018 |
| MICROMEDICA S.A. DE C.V. | 1 | 738.2 MXN | 40.6 % | 0.406 | 2013 - 2013 |
| PRODIDSA S. DE R.L. DE C.V. | 1 | 1,784 MXN | 9.8 % | 0.98 | 2013 - 2013 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | 2,701.9 MXN | 294.6 % | 5.89 | 2015 - 2015 |
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=379.808.0242.01")
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=379.808.0242.01')
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=379.808.0242.01')