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Description
P/PACIENTE ENTRADA TIPO PLUG NÚMERO DE CATÁLOGO: KW0001A, PARA SU USO EN EL EQUIPO: CLAVE 531 252 0033 CUNA DE CALOR RADIANTE CON FOTOTERAPIA OPCIONAL, MARCA: INTELEC, MODELO: CT-3000. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.2669.00
Each circle represents one of the 8 purchases of SENSOR DE TEMPERATURA made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 3 | 23,958.6 MXN | 3,304.6 MXN | 14.8 % | 1.28 | 6 de abril de 2011 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 2,204 MXN | 304 MXN | 16 % | 1.6 | 4 de noviembre de 2015 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 8,352 MXN | 1,152 MXN | 16 % | 0.64 | 16 de abril de 2018 |
| Delegación Sinaloa | Sinaloa | 1 | 13,316.8 MXN | - MXN | - | - | 27 de junio de 2013 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 661.2 MXN | 91.2 MXN | 16 % | 0.48 | 31 de marzo de 2017 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 1,421 MXN | 196 MXN | 16 % | 0.8 | 30 de julio de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| YALIERCP, S.A. DE C.V. | 3 | 3,304.6 MXN | 14.8 % | 1.28 | 2010 - 2011 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 2 | 395.2 MXN | 16 % | 2.08 | 2015 - 2017 |
| NEW WORLD TECHNOLOGY S.A. DE C.V. | 2 | 196 MXN | 8 % | 0.8 | 2013 - 2014 |
| MICRO TECNOLOGIA BIOMEDICA DE MEXICO, S.A. DE C.V. | 1 | 1,152 MXN | 16 % | 0.64 | 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=379.808.2669.00")
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=379.808.2669.00')
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=379.808.2669.00')