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Description
Pinza Satinsky de doble angulación atraumática de 150 a 160 mm de longitud
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.702.5811.00
Presentation
Pieza
Each circle represents one of the 16 purchases of PINZAS made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 3 | 13,101.1 MXN | 2,306.4 MXN | 19.5 % | 3.02 | 8 de noviembre de 2017 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 2 | 6,256 MXN | 262.7 MXN | 4.38 % | 0.175 | 13 de mayo de 2009 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 2 | 5,275.7 MXN | 1,601.7 MXN | 43.6 % | 1.74 | 20 de agosto de 2018 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 2 | 5,057.6 MXN | 266 MXN | 6.88 % | 0.275 | 3 de noviembre de 2016 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 877 MXN | 243.4 MXN | 38.4 % | 0.384 | 20 de agosto de 2010 |
| Delegación Campeche | Campeche | 1 | 3,248 MXN | 1,778.2 MXN | 121 % | 2.81 | 19 de enero de 2010 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 3,248 MXN | - MXN | - | - | 22 de mayo de 2018 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 4,082.5 MXN | 1,085.8 MXN | 36.2 % | 0.725 | 9 de junio de 2009 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 1,256.3 MXN | 173.3 MXN | 16 % | 0.16 | 6 de noviembre de 2014 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 16,841.3 MXN | 4,170.6 MXN | 32.9 % | 6.58 | 8 de noviembre de 2010 |
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 6,960 MXN | - MXN | - | - | 29 de noviembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 7 | 3,953.5 MXN | 23.4 % | 4.94 | 2010 - 2018 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 2 | 439.3 MXN | 14.9 % | 0.435 | 2014 - 2015 |
| MAINEQ DE MEXICO, S.A. DE C.V. | 2 | 262.7 MXN | 4.38 % | 0.175 | 2009 - 2009 |
| CORPORATIVO NEOMEDICA, S. A. DE C. V. | 1 | 4,170.6 MXN | 32.9 % | 6.58 | 2010 - 2010 |
| DEWIMED, S. A. | 1 | 198 MXN | 20.5 % | 0.205 | 2015 - 2015 |
| MANTENIMIENTO PREVENTIVO Y CORRECTIVO SA DE CV | 1 | 1,085.8 MXN | 36.2 % | 0.725 | 2009 - 2009 |
| OSORIO GARCIA MA. FATIMA | 1 | - MXN | - | - | 2010 - 2010 |
| PINA CAMPOS MARIA DE LOS ANGELES | 1 | 1,778.2 MXN | 121 % | 2.81 | 2010 - 2010 |
Entity type
Instrumental de cirugia de especialidades
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=537.702.5811.00")
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=537.702.5811.00')
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=537.702.5811.00')