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Description
CATETER PARA DILATACION DE ESOFAGO, DE 180 CM DE LONGITUD Y BALON DE 8 CM DE LONGITUD. ESTERIL Y DESECHABLE. CALIBRE DEL CATETER 30 FR. DIAMETRO EXTERNO DE INFLADO DE BALON: 10-11-12 MM. LAS UNIDADES MEDICAS DEBERAN SELECCIONAR LAS
IMSS product code
060.165.0385.02
Each circle represents one of the 13 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 |
|---|---|---|---|---|---|---|---|
| Delegación Durango Almacen Delegacional En Durango | Durango | 4 | 86,712.3 MXN | 5,785.9 MXN | 5.44 % | 3.23 | 28 de junio de 2018 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 3 | 33,960.2 MXN | 15,241.2 MXN | 61.7 % | 3.67 | 15 de noviembre de 2018 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 26,546.8 MXN | 7,231.9 MXN | 35 % | 2.1 | 23 de abril de 2018 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 9,472.2 MXN | 5,048.6 MXN | 114.1 % | 2.28 | 12 de junio de 2015 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 41,620.8 MXN | 8,688 MXN | 26.4 % | 3.17 | 6 de junio de 2017 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 4,635.4 MXN | - MXN | - | - | 27 de marzo de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 5 | 7,460.1 MXN | 19.5 % | 3.98 | 2014 - 2018 |
| GRUPO EMEQUR, S.A. DE C.V. | 4 | 11,933.4 MXN | 30.2 % | 4.11 | 2015 - 2018 |
| ENDOMEDICA,S. A. DE C. V. | 2 | 19,227.6 MXN | 80.4 % | 4.82 | 2016 - 2018 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 1 | 3,374.4 MXN | 152.6 % | 1.53 | 2015 - 2015 |
| 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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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=060.165.0385.02")
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=060.165.0385.02')
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=060.165.0385.02')