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Description
SPIROLOG MEDICIÓN DE FLUJO EN RAMAS INSPIRATORIA Y ESPIRATORIA NÚMERO DE CATÁLOGO: 8403735, PARA USO EN EL EQUIPO MEDICO: UNIDAD DE ANESTESIA DE ALTA ESPECIALIDAD. CAJA/5 PIEZAS.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.4988.00
Each circle represents one of the 5 purchases of SENSOR DE FLUJO made by the IMSS between 2013 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 | 3 | 45,731.8 MXN | 6,307.8 MXN | 16 % | 2.08 | 1 de febrero de 2016 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 341,040 MXN | 47,040 MXN | 16 % | 6.72 | 14 de junio de 2018 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 2,850.1 MXN | 393.1 MXN | 16 % | 0.16 | 21 de agosto de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| AMC BIOMEDICAL SA DE CV | 1 | 47,040 MXN | 16 % | 6.72 | 2018 - 2018 |
| CONSORCIO HOSPITALARIO S. A. DE C. V. | 1 | 393.1 MXN | 16 % | 0.16 | 2013 - 2013 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | 2,240 MXN | 16 % | 0.64 | 2014 - 2014 |
| NEW WORLD TECHNOLOGY S.A. DE C.V. | 1 | 672 MXN | 16 % | 0.16 | 2016 - 2016 |
| OMNINUS, S.A. DE V.C. | 1 | 3,395.8 MXN | 16 % | 1.28 | 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=379.808.4988.00")
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=379.808.4988.00')
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=379.808.4988.00')