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Description
DE DEDO (NO REQUIERE CABLE) CON NÚMERO DE CATÁLOGO: OXYF4N PARA SU USO EN EL EQUIPO CON CLAVE: 531 619 0452 MONITOR TRANSOPERATORIO, MARCA: DATEXOHMEDA, MODELO: AS/3 AM.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.0267.01
Each circle represents one of the 23 purchases of SENSOR DE SATURACION made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 5 | 1.8 millones MXN | 454,932.3 MXN | 42.4 % | 148.9 | 21 de abril de 2014 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 4 | 232,882.5 MXN | 32,158.3 MXN | 11.3 % | 21.2 | 1 de abril de 2016 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 19,720 MXN | - MXN | - | - | 11 de junio de 2015 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 3 | 17,446.4 MXN | 5,677.7 MXN | 55.8 % | 7.39 | 1 de diciembre de 2016 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 3 | 43,372.4 MXN | 2,094.4 MXN | 5.33 % | 3.52 | 11 de enero de 2018 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 580 MXN | - MXN | - | - | 28 de octubre de 2016 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 61,967.2 MXN | 6,531.7 MXN | 11.8 % | 2.36 | 26 de noviembre de 2014 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 6,015.4 MXN | 829.7 MXN | 16 % | 1.92 | 12 de noviembre de 2017 |
| H. de Traumatología y Ortopedia, Lomas Verdes Umae Traumatologia Y Ortopedia Lomas Verdes | Estado de México | 1 | 16,800.3 MXN | - MXN | - | - | 1 de enero de 2014 |
| H. General, "Dr. Gaudencio González Garza" Centro Médico Nacional La Raza Umae Hospital General C.m.n. La Raza | Ciudad de México | 1 | 3,526.4 MXN | - MXN | - | - | 18 de junio de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 4 | 26,902.6 MXN | 6.3 % | 18.1 | 2010 - 2015 |
| CORPORATIVO MS SISTEMAS MEDICOS, S.A. DE C.V. | 2 | - MXN | - | - | 2015 - 2016 |
| GLOBAL MEDICAL, S.A. DE C.V. | 2 | - MXN | - | - | 2012 - 2013 |
| INALMEDICA, S.A. DE C.V. | 2 | 225,006.8 MXN | 54.7 % | 65.3 | 2012 - 2013 |
| NEW WORLD TECHNOLOGY S.A. DE C.V. | 2 | - MXN | - | - | 2014 - 2014 |
| ADMINISTRACION GLOBAL MU?OZ, S. A. DE C. V. | 1 | - MXN | - | - | 2014 - 2014 |
| AZTEC MEDICA, S.A. DE C.V. | 1 | 829.7 MXN | 16 % | 1.92 | 2017 - 2017 |
| CALDERON MORALES ALBERTO | 1 | 9,676 MXN | 41.2 % | 4.12 | 2011 - 2011 |
| CARIMED EQUIPOS, S. A. DE C. V. | 1 | 6,531.7 MXN | 11.8 % | 2.36 | 2014 - 2014 |
| COMERCIALIZADORA JAMES, S.A. DE C.V. | 1 | 5,255.7 MXN | 20.2 % | 3.02 | 2016 - 2016 |
| FLEXUS, SA DE CV | 1 | 2,094.4 MXN | 16 % | 3.52 | 2018 - 2018 |
| GONZALEZ ALFARO XOCHITL ALEJANDRA | 1 | 220,249.5 MXN | 61.1 % | 79.5 | 2014 - 2014 |
| LITO MEDICAL S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| MARTHA ANDREA BARRERA MCDONALD | 1 | 338.8 MXN | 19.5 % | 0.195 | 2016 - 2016 |
| MICRO TECNOLOGIA BIOMEDICA DE MEXICO, S.A. DE C.V. | 1 | 1,401.5 MXN | 20.2 % | 0.807 | 2016 - 2016 |
| PROVEEDORA MAHO, S.A. DE C.V. | 1 | 3,937.4 MXN | 127.8 % | 6.39 | 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=379.808.0267.01")
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=379.808.0267.01')
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=379.808.0267.01')