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Description
CATETER PARA DILATACION DE PILORO, DE 180 CM DE LONGITUD Y BALON DE 5.5 CM DE LONGITUD. ESTERIL Y DESECHABLE. TIPO: QUANTUM TTC. CALIBRE DEL CATETER. 30 FR.
IMSS product code
060.165.0468.02
Each circle represents one of the 30 purchases of CATÉTERES made by the IMSS between 2014 and 2019.
| 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 | 12 | 655,662.7 MXN | 232,382.6 MXN | 77.9 % | 57.8 | 21 de enero de 2019 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 6 | 284,784.6 MXN | 3,449.8 MXN | 3.57 % | 2.06 | 22 de enero de 2018 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 3 | 178,797.8 MXN | 58,308.1 MXN | 30.2 % | 12.8 | 14 de marzo de 2018 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 24,549.6 MXN | 3,184.5 MXN | 9.14 % | 0.548 | 23 de abril de 2018 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 9,472.2 MXN | 4,282.9 MXN | 82.5 % | 1.65 | 12 de junio de 2015 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 22,119.8 MXN | 2,078.8 MXN | 10.3 % | 1.24 | 7 de febrero de 2017 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 6,264 MXN | 535.6 MXN | 9.35 % | 0.187 | 22 de septiembre de 2016 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 33,593.6 MXN | - MXN | - | - | 15 de junio de 2017 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 25,209.7 MXN | 16,617.1 MXN | 193.4 % | 5.8 | 31 de octubre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 9 | 36,141.7 MXN | 50.7 % | 15.3 | 2014 - 2017 |
| DISTRIBUIDORA MORA ESPECIALISTA EN EQUIPO MEDICO, | 6 | 3,449.8 MXN | 3.57 % | 2.06 | 2014 - 2018 |
| GRUPO EMEQUR, S.A. DE C.V. | 4 | 15,562.1 MXN | 53.2 % | 6.11 | 2014 - 2017 |
| ENDOMEDICA,S. A. DE C. V. | 3 | 34,059.7 MXN | 82.2 % | 8.81 | 2016 - 2018 |
| PROMEDICA GARCIA, S. A. DE C. V. | 3 | 152,941.8 MXN | 37.6 % | 31.4 | 2017 - 2019 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 2 | 3,527.2 MXN | 62.3 % | 1.34 | 2015 - 2016 |
| CAMPAS EQUIPOS SA DE CV | 1 | 51,767.5 MXN | 74.3 % | 8.91 | 2018 - 2018 |
| HI-TEC MEDICAL, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
| MEDICINA MINIMA INVASIVA, S.A DE C.V. | 1 | 23,389.6 MXN | 204.2 % | 8.17 | 2016 - 2016 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.165.0468.02")
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=060.165.0468.02')
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=060.165.0468.02')