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Description
Espirales helicoidales de liberación mecánica o hidráulica para embolización endovascular. Estéril y desechable. Longitud: 8 cm. Calibre: 0.038" Hélice: 6 mm
Classification
Material médico. Material de curacion
IMSS product code
060.365.1662.00
Presentation
Pieza
Each circle represents one of the 4 purchases of ESPIRALES made by the IMSS between 2012 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 4 | 163,154 MXN | 22,504 MXN | 16 % | 3.84 | 20 de mayo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 3 | 10,864 MXN | 16 % | 2.24 | 2012 - 2016 |
| DISENO Y DESARROLLO MEDICO, S.A. DE C.V. | 1 | 11,640 MXN | 16 % | 1.6 | 2014 - 2014 |
Entity type
Material de curacion
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=060.365.1662.00")
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=060.365.1662.00')
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=060.365.1662.00')