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Description
MICROGARD DESECHABLE NÚMERO DE CATÁLOGO: S769204, PARA SU USO EN EL EQUIPO MEDICO: CLAVE: 531.700.0114.01.01 PLETISMOGRAFO CORPORAL NEONATAL, MARCA: CAREFUSION
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.360.2966.00
Presentation
PAQUETE C/25 PIEZAS.
Each circle represents one of the 4 purchases of FILTRO DE BACTERIAS made by the IMSS between 2014 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 146,181.8 MXN | 21,601.9 MXN | 16.7 % | 9.53 | 27 de febrero de 2015 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 201,840 MXN | 27,840 MXN | 16 % | 9.6 | 27 de septiembre de 2017 |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 1 | 996.2 MXN | - MXN | - | - | 8 de diciembre de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SERVS DE ING EN MEDICINA DE OTE, S.A. DE C.V. | 2 | 21,601.9 MXN | 16.7 % | 9.53 | 2014 - 2015 |
| MAGNA DEL NORTE SA DE CV | 1 | 27,840 MXN | 16 % | 9.6 | 2017 - 2017 |
| SERVICIOS DE INGENIERIA EN MEDICINA, S. A. DE C. V | 1 | - MXN | - | - | 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=379.360.2966.00")
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=379.360.2966.00')
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=379.360.2966.00')