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Description
PARA TRANSDUCTOR INVBP PARA SU USO EN EL EQUIPO: UNIDAD DE ANESTESIA DE ALTA ESPECIALIDAD, CLAVE: 531.053.0356, MARCA: DATEXOHMEDA, MODELO: ADU, NUMERO DE CATALOGO: MAC-17
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.156.1859.00
Each circle represents one of the 12 purchases of CABLE TRONCAL made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 8 | 184,198.8 MXN | 26,541.3 MXN | 16.5 % | 15.1 | 4 de febrero de 2015 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 3 | 37,340.5 MXN | 9,777.2 MXN | 35.7 % | 6.78 | 22 de junio de 2012 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 1 | 9,280 MXN | - MXN | - | - | 11 de junio de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMEDICAL, S.A. DE C.V. | 7 | 33,960.2 MXN | 27.3 % | 20 | 2009 - 2013 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 2 | 299.3 MXN | 0.493 % | 0.237 | 2010 - 2012 |
| COMERCIALIZADORA LOGMEDIC, S.A. DE C.V. | 2 | 812 MXN | 15.6 % | 0.622 | 2013 - 2014 |
| AZTEC MEDICA, S.A. DE C.V. | 1 | 1,247 MXN | 16 % | 0.96 | 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=379.156.1859.00")
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=379.156.1859.00')
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=379.156.1859.00')