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Description
TIPO DEDAL PEDIÁTRICO/ADULTO REUSABLE, LIBRE DE LATEX TECNOLOGIA NELLCOR, NÚMERO DE CATÁLOGO: 0600-00-0051, PARA SU USO EN EQUIPO MEDICO: CLAVE 531 619 0403 MONITOR DE SIGNOS VITALES. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.3840.00
Each circle represents one of the 4 purchases of SENSOR DE SPO2 made by the IMSS between 2012 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Gineco Obstetricia, "Lic. Ignacio García Tellez", Centro Médico Nacional de Occidente, Jalisco Umae Gineco - Obstetricia Jalisco | Jalisco | 2 | 33,222.4 MXN | 4,582.4 MXN | 16 % | 2.56 | 3 de agosto de 2012 |
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 2 | 8,120 MXN | 1,120 MXN | 16 % | 2.24 | 1 de enero de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA LOGMEDIC, S.A. DE C.V. | 1 | 640 MXN | 16 % | 1.28 | 2017 - 2017 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 480 MXN | 16 % | 0.96 | 2015 - 2015 |
| FERNANDEZ GUERRERO CECILIA | 1 | 4,009.6 MXN | 16 % | 2.24 | 2012 - 2012 |
| TECNOLOGIA MEDICA HOSPITALARIA S.A DE C.V. | 1 | 572.8 MXN | 16 % | 0.32 | 2012 - 2012 |
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=379.808.3840.00")
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=379.808.3840.00')
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=379.808.3840.00')