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Description
DE 50 MM NÚMERO DE CATÁLOGO: 40457C, PARA USO EN EL EQUIPO MEDICO: DESFIBRILADORMONITOR, CLAVE: 531 286 0215, MARCA: PHILIPS, MODELO: HEARTSTART MRX. CJA/10 ROLLOS
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.681.2059.00
Each circle represents one of the 5 purchases of PAPEL TERMICO made by the IMSS between 2014 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 2 | 1,798 MXN | 285.5 MXN | 18.1 % | 0.929 | 1 de febrero de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 348 MXN | 10.5 MXN | 3.11 % | 0.0311 | 27 de julio de 2016 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 619.6 MXN | - MXN | - | - | 9 de julio de 2018 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 1 | 23,139.5 MXN | 3,862.3 MXN | 20 % | 3.21 | 19 de abril de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTROLES GRAFICOS, S.A. DE C.V. | 1 | 80 MXN | 16 % | 0.32 | 2014 - 2014 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 10.5 MXN | 3.11 % | 0.0311 | 2016 - 2016 |
| MANTENIMIENTO PREVENTIVO Y CORRECTIVO SA DE CV | 1 | 3,862.3 MXN | 20 % | 3.21 | 2018 - 2018 |
| SERVICIOS DE INGENIERIA EN MEDICINA, S. A. DE C. V | 1 | - MXN | - | - | 2018 - 2018 |
| TECNO COMERCIAL PAKTLI, S. A. DE C. V. | 1 | 205.5 MXN | 20.3 % | 0.609 | 2016 - 2016 |
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=379.681.2059.00")
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=379.681.2059.00')
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=379.681.2059.00')