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Description
Endoprótesis. metálica autoexpandible para carótida interna intracraneal para sistema de liberación sobre la guía. Estéril. Diámetro: 8 mm Longitud: 4 cm
Classification
Material médico. Material de curacion
IMSS product code
060.748.7550.00
Presentation
Pieza
Each circle represents one of the 6 purchases of PRÓTESIS made by the IMSS between 2010 and 2011.
| 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 | 2 | 69,832 MXN | 41,137.3 MXN | 143.4 % | 2.87 | 30 de noviembre de 2011 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 322,760.3 MXN | 22,012.7 MXN | 8 % | 1.92 | 19 de diciembre de 2011 | |
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 662,621 MXN | 123,134.4 MXN | 22.8 % | 5.71 | 1 de julio de 2010 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 38,280 MXN | - MXN | - | - | 15 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 2 | 123,134.4 MXN | 11.4 % | 5.71 | 2010 - 2010 |
| DISPOSITIVOS IMPLANTABLES DE MEXICO, S. A. DE C. V | 2 | 22,012.7 MXN | 8 % | 1.92 | 2011 - 2011 |
| LEVBETH MEDICAL, S.A. DE C.V. | 2 | 41,137.3 MXN | 143.4 % | 2.87 | 2011 - 2011 |
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=060.748.7550.00")
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=060.748.7550.00')
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=060.748.7550.00')