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Description
DURA DS-100A ADULTO REUSABLE PESO DE PACIENTE MAS DE 40 KG, SIN LATEX NÚMERO DE CATÁLOGO: 7262764, PARA USO EN EL EQUIPO MEDICO: MONITOR DE SIGNOS VITALES, CLAVE: 531 619 0403, MARCA: DRAGER. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.5076.00
Each circle represents one of the 7 purchases of SENSOR DE SPO2 made by the IMSS between 2014 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 2 | 22,593.2 MXN | 4,137.4 MXN | 24.4 % | 2.12 | 4 de abril de 2017 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 2,784 MXN | - MXN | - | - | 3 de octubre de 2014 |
| Delegación Chiapas Almacen Subdelegacional En Tuxtla Gutierrez, Chiapas | Chiapas | 1 | 8,816 MXN | 1,216 MXN | 16 % | 0.32 | 17 de noviembre de 2015 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 209,983.2 MXN | 36,477.8 MXN | 21 % | 7.36 | 13 de junio de 2014 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 452.4 MXN | - MXN | - | - | 31 de marzo de 2017 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 1 | 78,474 MXN | 10,824 MXN | 16 % | 2.4 | 13 de febrero de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICAL ADVANCED SUPPLIES, S.A. DE C.V. | 3 | 5,353.4 MXN | 21.6 % | 2.44 | 2015 - 2017 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | - MXN | - | - | 2017 - 2017 |
| OMNINUS, S.A. DE V.C. | 1 | 10,824 MXN | 16 % | 2.4 | 2018 - 2018 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| SOLUCIONES Y EQUIPOS DE PUEBLA, S.A. DE C.V. | 1 | 36,477.8 MXN | 21 % | 7.36 | 2014 - 2014 |
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=379.808.5076.00")
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=379.808.5076.00')
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=379.808.5076.00')