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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 42 FR. MATERIAL PARA CIRUGIA MEDIANTE ENDOSCOPIOS.
IMSS product code
060.165.0401.02
Each circle represents one of the 5 purchases of CATÉTERES made by the IMSS between 2015 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 25,504.5 MXN | 1,881.9 MXN | 6 % | 0.36 | 23 de abril de 2018 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 4,469 MXN | 2,685 MXN | 150.5 % | 1.51 | 25 de marzo de 2015 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 3,271.2 MXN | 451.2 MXN | 16 % | 0.16 | 15 de junio de 2017 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 6,687.1 MXN | 1,462.1 MXN | 28 % | 0.28 | 15 de noviembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 1 | 451.2 MXN | 16 % | 0.16 | 2017 - 2017 |
| ENDOMEDICA,S. A. DE C. V. | 1 | 1,881.9 MXN | 12 % | 0.36 | 2018 - 2018 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 1 | 2,685 MXN | 150.5 % | 1.51 | 2015 - 2015 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 1,462.1 MXN | 28 % | 0.28 | 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)
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=060.165.0401.02")
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=060.165.0401.02')
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=060.165.0401.02')