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Description
AGUJA DE ACERO INOXIDABLE, PARA BIOPSIA A TRAVES DEL TRANSDUCTOR DE ULTRASONIDO INTRACAVITARIO, CALIBRE 18 G., LONGITUD 10 CM.REUSABLE. CONSUMIBLE DE LA PISTOLA PARA LA TOMA DE BIOPSIA CLAVE 531 925 0089
IMSS product code
060.034.0160.01
Each circle represents one of the 68 purchases of AGUJAS made by the IMSS between 2008 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 20 | 705,686.5 MXN | 180,394.5 MXN | 47.9 % | 292 | 13 de diciembre de 2018 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 10 | 114,986.8 MXN | 1,832.2 MXN | 3.83 % | 6.51 | 7 de mayo de 2018 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 8 | 45,541.2 MXN | 3,103.1 MXN | 38.8 % | 12.6 | 19 de junio de 2018 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 7 | 69,970.9 MXN | 12,605.1 MXN | 22.7 % | 25 | 30 de noviembre de 2017 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Puerto (ext. Bienes Terapeuticos) | Veracruz | 4 | 20,363.8 MXN | 9,239 MXN | 409.3 % | 18.3 | 28 de agosto de 2015 |
| Delegación Guerrero | Guerrero | 3 | 8,700 MXN | 212.1 MXN | 2.5 % | 0.435 | 27 de marzo de 2013 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 3 | 177,259.6 MXN | - MXN | - | - | 1 de abril de 2015 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 29,052.6 MXN | 986.3 MXN | 3.67 % | 1.32 | 13 de febrero de 2018 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 2 | 24,174.4 MXN | 10,651.5 MXN | 78.8 % | 15.8 | 24 de noviembre de 2017 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 13,813 MXN | 7,790.3 MXN | 81.8 % | 15.6 | 6 de junio de 2014 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 2 | 22,136.5 MXN | 3,073 MXN | 8.89 % | 6.4 | 13 de febrero de 2015 |
| H. de Gineco Obstetricia Núm. 23, "Ignacio Morones Prieto" Monterrey, N.L. Umae Gineco - Obstetricia Nuevo Leon | Nuevo León | 2 | 80,758.1 MXN | 9,397.5 MXN | 14.4 % | 37.7 | 23 de febrero de 2011 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 47,258.4 MXN | - MXN | - | - | 16 de mayo de 2017 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 1 | 20,420.6 MXN | 908.3 MXN | 4.65 % | 1.86 | 17 de diciembre de 2013 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 1 | 7,107.7 MXN | 804.9 MXN | 12.8 % | 3.45 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DURFA, S. A. DE C. V. | 19 | 154,784.8 MXN | 47.2 % | 250 | 2010 - 2018 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 8 | 3,103.1 MXN | 38.8 % | 12.6 | 2009 - 2018 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 7 | 478.9 MXN | 1.43 % | 0.998 | 2014 - 2016 |
| INSTRUMENTOS Y ACCESORIOS AUTOMATIZADOS, S.A. DE C | 7 | 13,564.3 MXN | 12.8 % | 58.1 | 2008 - 2009 |
| CORPORACION ARMO, S.A. DE C.V. | 5 | 14,115.1 MXN | 23.1 % | 28.4 | 2013 - 2017 |
| Proveedor local no identificado (Compra Emergente) | 3 | 212.1 MXN | 2.5 % | 0.435 | 2013 - 2013 |
| DISTRIBUIDORA MORA ESPECIALISTA EN EQUIPO MEDICO, | 2 | 4,920.8 MXN | 394.4 % | 9.78 | 2014 - 2015 |
| MEDICAL CARE FARAM, S.A DE C.V. | 2 | 4,318.2 MXN | 424.3 % | 8.49 | 2014 - 2014 |
| PRODUCTOS BARD DE MEXICO, S.A. DE C.V. | 2 | - MXN | - | - | 2014 - 2017 |
| BERNIE MEDICAL, S. A. DE C. V. | 1 | 908.3 MXN | 4.65 % | 1.86 | 2013 - 2013 |
| CARDIOPACE, S.A. DE C.V. | 1 | - MXN | - | - | 2018 - 2018 |
| COMERCIALIZADORA ARVIEN, S.A. DE C.V. | 1 | 986.3 MXN | 7.33 % | 1.32 | 2018 - 2018 |
| DARIER, S.A. DE C.V. | 1 | 1,324.5 MXN | 49 % | 1.96 | 2017 - 2017 |
| EQUIPOS MEDICOS DE BAJA CALIFORNIA, S.A. DE C.V. | 1 | - MXN | - | - | 2016 - 2016 |
| HEALTH TECHNOLOGIES, S.A DE C.V. | 1 | 5,325.8 MXN | 78.8 % | 7.88 | 2017 - 2017 |
| JTC PROVEEDOR MEDICO, S. A. DE C. V. | 1 | - MXN | - | - | 2016 - 2016 |
| MEDICA AVANZADA, S. A. DE C. V. | 1 | 7,671.1 MXN | 150.7 % | 15.1 | 2014 - 2014 |
| MEDICA BESSER, S.A. DE C.V. | 1 | 23,827.9 MXN | 63.8 % | 31.9 | 2018 - 2018 |
| NUMEFARM, S. DE R. L. DE C. V. | 1 | 5,325.8 MXN | 78.8 % | 7.88 | 2017 - 2017 |
| PROVEEDORA NACIONAL DE MEDICAMENTOS PRONAMED, S.A. | 1 | - MXN | - | - | 2013 - 2013 |
| SALMED DISTRIBUIDORA, S.A. DE C.V. | 1 | 130.9 MXN | 2.73 % | 0.273 | 2015 - 2015 |
| VILLEGAS PRIEGO FERNANDO | 1 | - MXN | - | - | 2015 - 2015 |
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=060.034.0160.01")
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=060.034.0160.01')
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=060.034.0160.01')