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Description
CATETER PARA DILATACION DE ESOFAGO, LONGITUD DE 180 CM. Y BALON DE 8 CM. DE LONGITUD, TIPO QUANTUM TTC, CALIBRE DEL CATETER 60 FR. MATERIAL PARA CIRUGIA MEDIANTE ENDOSCOPIOS.
IMSS product code
060.165.0435.02
Each circle represents one of the 32 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 | 13 | 657,530.9 MXN | 161,135.9 MXN | 53.6 % | 36.7 | 1 de enero de 2018 |
| Delegación Chihuahua | Chihuahua | 4 | 12,992 MXN | 1,256.5 MXN | 11 % | 0.511 | 29 de diciembre de 2016 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 4 | 68,912.9 MXN | 14,798.7 MXN | 59.8 % | 4.01 | 19 de julio de 2017 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 3 | 145,172.1 MXN | 7,486.8 MXN | 4.83 % | 1.3 | 7 de marzo de 2018 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 39,648.7 MXN | - MXN | - | - | 22 de septiembre de 2016 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 17,710.2 MXN | - MXN | - | - | 7 de febrero de 2018 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 2 | 4,136.8 MXN | - MXN | - | - | 7 de febrero de 2017 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 54,984 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 | 9,762.5 MXN | 63.2 % | 1.9 | 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. | 7 | 15,829.9 MXN | 32.9 % | 6.44 | 2015 - 2017 |
| ENDOMEDICA,S. A. DE C. V. | 6 | 28,598.4 MXN | 52.3 % | 6.99 | 2014 - 2018 |
| GRUPO EMEQUR, S.A. DE C.V. | 5 | 2,675.2 MXN | 10.9 % | 1.09 | 2014 - 2017 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 4 | 6,880.4 MXN | 54.8 % | 2.38 | 2015 - 2016 |
| RODRIGUEZ MENDOZA SALVADOR FERNANDO | 3 | 1,256.5 MXN | 14.7 % | 0.511 | 2015 - 2016 |
| MEDICINA MINIMA INVASIVA, S.A DE C.V. | 2 | 32,062.8 MXN | 69.2 % | 6.23 | 2016 - 2016 |
| PROMEDICA GARCIA, S. A. DE C. V. | 2 | 107,137.1 MXN | 28.7 % | 20.8 | 2017 - 2018 |
| ATC DEL NOROESTE, S.A. DE C.V. | 1 | - MXN | - | - | 2016 - 2016 |
| ENDOSCOPIA E IMAGEN MEDICA SA. DE CV. | 1 | - MXN | - | - | 2018 - 2018 |
| HI-TEC MEDICAL, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
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=060.165.0435.02")
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=060.165.0435.02')
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=060.165.0435.02')