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Description
Pinza Mixter o Gemini con estrías transversales longitud de 270 a 280 mm
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.702.4764.00
Presentation
Pieza
Each circle represents one of the 12 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 Norte Almacen Delegacional En Veracruz Norte | Veracruz | 2 | 9,614.1 MXN | 1,528.6 MXN | 20 % | 3.05 | 1 de enero de 2015 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 2 | 3,884.6 MXN | 527.2 MXN | 16 % | 0.959 | 3 de octubre de 2016 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 4,809.4 MXN | 663.4 MXN | 16 % | 0.96 | 20 de agosto de 2010 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 4,730.6 MXN | 652.5 MXN | 16 % | 0.96 | 22 de octubre de 2013 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 1 | 2,754.1 MXN | - MXN | - | - | 6 de agosto de 2015 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 2,612.3 MXN | 412.5 MXN | 18.8 % | 0.75 | 3 de noviembre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 11,206.6 MXN | 1,545.7 MXN | 16 % | 4.8 | 9 de mayo de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 793.5 MXN | 103.5 MXN | 15 % | 0.3 | 17 de agosto de 2009 |
| Delegación Tabasco Almacen Delegacional En Tabasco | Tabasco | 1 | 3,190 MXN | 768.8 MXN | 31.8 % | 1.59 | 6 de abril de 2015 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 4,348 MXN | 1,048.4 MXN | 31.8 % | 1.91 | 31 de marzo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 5 | 3,373.2 MXN | 21.3 % | 6.34 | 2010 - 2016 |
| ASESORIA MEDICA Y EQUIPAMIENTO HOSPIT., SA DE CV | 1 | 1,545.7 MXN | 16 % | 4.8 | 2018 - 2018 |
| DEWIMED, S. A. | 1 | 1,048.4 MXN | 31.8 % | 1.91 | 2016 - 2016 |
| HEMOST, S. A. DE C. V. | 1 | - MXN | - | - | 2016 - 2016 |
| HIDRO HOSPITAL, S.A. DE C.V. | 1 | 103.5 MXN | 15 % | 0.3 | 2009 - 2009 |
| INSTRUMENTAL E IMPLANTES ORTOPEDICOS S.A. DE C.V. | 1 | 652.5 MXN | 16 % | 0.96 | 2013 - 2013 |
| NEODREN, S. DE R. L. DE C. V. | 1 | - MXN | - | - | 2015 - 2015 |
| PHARMACY, S.A. DE C.V. | 1 | 527.2 MXN | 32 % | 0.959 | 2016 - 2016 |
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=537.702.4764.00")
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=537.702.4764.00')
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=537.702.4764.00')