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Description
Pinza de bakey atraumática angulada ramas de 15 mm De ancho longitud de 200 mm A 205 mm
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.702.4087.00
Presentation
Pieza
Each circle represents one of the 13 purchases of PINZAS made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 2 | 25,594.4 MXN | 5,380.6 MXN | 19.5 % | 2.34 | 9 de mayo de 2018 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 2 | 4,698 MXN | 546.8 MXN | 13.2 % | 0.794 | 2 de febrero de 2011 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 1,392 MXN | - MXN | - | - | 4 de noviembre de 2015 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 1,096.2 MXN | 343.2 MXN | 45.6 % | 0.456 | 16 de junio de 2015 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 2,169.2 MXN | - MXN | - | - | 28 de julio de 2018 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 939.6 MXN | 230.9 MXN | 32.6 % | 0.326 | 16 de julio de 2010 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 939.6 MXN | 186.6 MXN | 24.8 % | 0.248 | 6 de abril de 2015 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 939.6 MXN | - MXN | - | - | 29 de octubre de 2014 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 939.6 MXN | 186.6 MXN | 24.8 % | 0.248 | 11 de mayo de 2015 |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 168,246.4 MXN | 47,798.4 MXN | 39.7 % | 6.35 | 7 de junio de 2013 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 8,534.7 MXN | 1,728.4 MXN | 25.4 % | 1.27 | 21 de noviembre de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 9 | 1,150.8 MXN | 12.1 % | 1.62 | 2010 - 2018 |
| ARTICULOS MEDICOS DACASA, S.A. DE C.V. | 1 | 343.2 MXN | 45.6 % | 0.456 | 2015 - 2015 |
| GENESIS HEALTHCARE ADVISERS, S. A. DE C. V. | 1 | 5,380.6 MXN | 39 % | 2.34 | 2018 - 2018 |
| GRUPO ABASTECEDOR DEL NORTE, S.A. DE C.V. | 1 | 1,728.4 MXN | 25.4 % | 1.27 | 2014 - 2014 |
| MEDICAMEX, S. A. DE C. V. | 1 | 47,798.4 MXN | 39.7 % | 6.35 | 2013 - 2013 |
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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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=537.702.4087.00")
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=537.702.4087.00')
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=537.702.4087.00')