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Description
PARA 5 DERIVACIONES ECG PARA SU USO EN EL EQUIPO: EQUIPO DE ANESTESIA INTERMEDIO PARA SEGUNDO NIVEL, CLAVE: 531.053.0109, MARCA: DATEXOHMEDA, MODELO: AESTIVA, NUMERO DE CATALOGO: 545303. PIEZA
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.156.1727.00
Each circle represents one of the 31 purchases of CABLE TRONCAL made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 7 | 25,949.2 MXN | 3,906 MXN | 44.2 % | 5.84 | 16 de noviembre de 2016 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 7 | 95,945.9 MXN | 25,954.9 MXN | 77.7 % | 21.6 | 1 de diciembre de 2016 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 5 | 123,134.7 MXN | 43,733.7 MXN | 68.5 % | 16.7 | 31 de julio de 2013 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 5 | 19,308.2 MXN | 405.7 MXN | 3.74 % | 0.561 | 30 de mayo de 2016 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 3 | 15,345.1 MXN | 4,253.8 MXN | 40.4 % | 1.92 | 31 de julio de 2009 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 26,517.6 MXN | 12,598.7 MXN | 90.5 % | 4.53 | 18 de junio de 2013 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 10,718.4 MXN | 2,367 MXN | 28.3 % | 0.85 | 8 de octubre de 2013 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 26,043.2 MXN | 3,592.2 MXN | 16 % | 1.6 | 14 de noviembre de 2017 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 1 | 2,842 MXN | - MXN | - | - | 25 de marzo de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| NEW WORLD TECHNOLOGY S.A. DE C.V. | 6 | 23,929.8 MXN | 19.1 % | 11.2 | 2012 - 2015 |
| CAMACHO LOPEZ JOSE ODILON | 3 | 4,253.8 MXN | 40.4 % | 1.92 | 2009 - 2009 |
| CORPORACION MEXICANA GIVMA, S.A. DE C.V. | 3 | 15,117.4 MXN | 135.5 % | 14.1 | 2009 - 2011 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 2 | 405.7 MXN | 9.35 % | 0.561 | 2015 - 2016 |
| CORREA AYALA GEORGINA | 2 | 3,546.9 MXN | 20 % | 1.6 | 2009 - 2012 |
| MULTI MEDICA, S.A. DE C.V. | 2 | 1,671.9 MXN | 120.2 % | 2.4 | 2010 - 2010 |
| RODRIGUEZ MENDOZA SALVADOR FERNANDO | 2 | 22,038 MXN | 148.4 % | 8.9 | 2012 - 2012 |
| ASESORIA MEDICA Y EQUIPAMIENTO HOSPIT., SA DE CV | 1 | - MXN | - | - | 2016 - 2016 |
| CORPORATIVO GORNAT DE MEXICO SA DE CV | 1 | 12,598.7 MXN | 90.5 % | 4.53 | 2013 - 2013 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
| DISTRIBUIDORA DE EQUIPO MEDICO E INDUSTRIAL DE MEX | 1 | - MXN | - | - | 2009 - 2009 |
| DISTRIBUIDORA MEDICO TECNICA LA UNION, S.A. DE C. | 1 | - MXN | - | - | 2013 - 2013 |
| GRUPO DYSBA SA DE CV | 1 | 2,367 MXN | 28.3 % | 0.85 | 2013 - 2013 |
| LITO MEDICAL S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| MARTHA ANDREA BARRERA MCDONALD | 1 | 4,848 MXN | 48.7 % | 3.89 | 2016 - 2016 |
| MEDICAL ADVANCED SUPPLIES, S.A. DE C.V. | 1 | 3,592.2 MXN | 16 % | 1.6 | 2017 - 2017 |
| MICRO TECNOLOGIA BIOMEDICA DE MEXICO, S.A. DE C.V. | 1 | 2,442.5 MXN | 49 % | 1.96 | 2016 - 2016 |
| MIRANDA DUE?AS MANUEL ANGEL | 1 | - MXN | - | - | 2010 - 2010 |
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=379.156.1727.00")
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=379.156.1727.00')
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=379.156.1727.00')