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Description
PEDIÁTRICO CON PINZA PARA %SPO2 TIPO NELLCOR, NÚMERO DE CATÁLOGO: DYSPD, PARA SU USO EN EQUIPO MEDICO CLAVE: 531 667 0065 01 01 OXIMETRO DE PULSO PORTATIL, MARCA: WALTVICK. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.6140.00
Each circle represents one of the 4 purchases of SENSOR REUSABLE made by the IMSS between 2014 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 2 | 6,813.1 MXN | 843.7 MXN | 8 % | 0.48 | 22 de septiembre de 2016 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 2,610 MXN | 360 MXN | 16 % | 0.48 | 26 de noviembre de 2014 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 1 | 4,176 MXN | 1,376 MXN | 49.1 % | 0.983 | 30 de noviembre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CABLES Y SENSORES MEDICOS, S.A.P.I. DE C.V. | 1 | 843.7 MXN | 16 % | 0.48 | 2015 - 2015 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | - MXN | - | - | 2016 - 2016 |
| MICRO TECNOLOGIA BIOMEDICA DE MEXICO, S.A. DE C.V. | 1 | 1,376 MXN | 49.1 % | 0.983 | 2016 - 2016 |
| NEW WORLD TECHNOLOGY S.A. DE C.V. | 1 | 360 MXN | 16 % | 0.48 | 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=379.808.6140.00")
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=379.808.6140.00')
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=379.808.6140.00')