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Description
INJERTOS PARA PROTESIS VASCULAR. RECTOS DE PARED DELGADA, ANILLADOS AL CENTRO. 6 MM X 40 CM.
IMSS product code
060.506.1936.11
Each circle represents one of the 15 purchases of INJERTOS made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 4 | 139,702.9 MXN | 5,935.2 MXN | 8.99 % | 0.719 | 16 de octubre de 2018 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 3 | 26,892.1 MXN | 5,493.6 MXN | 25.7 % | 0.77 | 1 de diciembre de 2010 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 2 | 262,163.7 MXN | 57,659.6 MXN | 42.3 % | 6.77 | 17 de abril de 2015 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 2 | 37,099.1 MXN | 13,319.7 MXN | 57.5 % | 2.14 | 11 de septiembre de 2017 |
| Delegación Baja California | Baja California | 1 | 7,308 MXN | - MXN | - | - | 21 de marzo de 2014 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 39,904 MXN | 16,985.1 MXN | 74.1 % | 2.96 | 31 de julio de 2012 |
| Delegación Guanajuato | Guanajuato | 1 | 8,144.1 MXN | - MXN | - | - | 18 de mayo de 2010 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 63,571.3 MXN | - MXN | - | - | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICAMEX, S. A. DE C. V. | 2 | 38,031.1 MXN | 18.6 % | 4.39 | 2015 - 2017 |
| AVANT MEDICAL, S.A. DE C.V. | 1 | 2,696.8 MXN | 19.9 % | 0.399 | 2014 - 2014 |
| BERNIE MEDICAL, S. A. DE C. V. | 1 | 11,348.5 MXN | 99 % | 1.98 | 2012 - 2012 |
| CARDIOPACE, S.A. DE C.V. | 1 | 3,238.4 MXN | 16 % | 0.32 | 2018 - 2018 |
| DISTRIBUCIONES GENERALES MEDICAS, S. A. DE C. V. | 1 | 21,599.7 MXN | 63.4 % | 2.53 | 2015 - 2015 |
| ENDOMEDICA,S. A. DE C. V. | 1 | - MXN | - | - | 2011 - 2011 |
| EQUIPOS MEDICOS DE BAJA CALIFORNIA, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 1 | - MXN | - | - | 2010 - 2010 |
| MEDIGROUP DEL PACIFICO, S.A. DE C.V. | 1 | 987.2 MXN | 13.8 % | 0.138 | 2010 - 2010 |
| SALMED DISTRIBUIDORA, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
| SERVICIOS INTEGRALES DE APOYO MEDICOS, SA DE CV | 1 | 1,622.8 MXN | 22.8 % | 0.228 | 2010 - 2010 |
| SOLUMEDI, S.A. DE C.V. | 1 | 2,883.6 MXN | 40.4 % | 0.404 | 2010 - 2010 |
| VELASCO GARCIA MARIA DE JESUS | 1 | 16,985.1 MXN | 74.1 % | 2.96 | 2012 - 2012 |
| VITASANITAS S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.506.1936.11")
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=060.506.1936.11')
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=060.506.1936.11')