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Description
MICROCATETER PARA EMBOLIZACION ENDOVASCULAR CEREBRAL Y PERIFERICA, CON CUERPO DE MALLA DE ACERO INOXIDABLE, CUBIERTA HIDROFILICA Y SUPERFICIE INTERNA, DE POLITETRAFLUORETILENO. CALIBRE PROXIMAL /DISTAL 2.8 FR/2.3 FR. DIAMETRO
IMSS product code
060.166.3990.01
Each circle represents one of the 11 purchases of CATÉTERES made by the IMSS between 2014 and 2018.
| 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 | 9 | 1.1 millones MXN | 182,093.7 MXN | 18.6 % | 21.8 | 19 de diciembre de 2018 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 1 | 37,120 MXN | 10,216.6 MXN | 38 % | 1.52 | 5 de noviembre de 2014 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 391,207.7 MXN | 37,486.1 MXN | 10.6 % | 3.82 | 18 de abril de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 8 | 182,093.7 MXN | 20.9 % | 21.8 | 2014 - 2018 |
| DISENO Y DESARROLLO MEDICO, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| DISTRIBUIDORA MORA ESPECIALISTA EN EQUIPO MEDICO, | 1 | 10,216.6 MXN | 38 % | 1.52 | 2014 - 2014 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 37,486.1 MXN | 10.6 % | 3.82 | 2018 - 2018 |
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=060.166.3990.01")
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=060.166.3990.01')
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=060.166.3990.01')