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Description
CATETER PARA ULTRASONIDO INTRACAVITARIO, DE 8.0 FR, TIPO JUDKINS IZQUIERDO.
IMSS product code
060.166.2828.02
Each circle represents one of the 40 purchases of CATÉTERES made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 35 | 503,638.7 MXN | 93,179.6 MXN | 24.8 % | 12.5 | 27 de febrero de 2015 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 4 | 117,248.6 MXN | 7,750 MXN | 7.75 % | 0.79 | 20 de junio de 2013 |
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 307,400 MXN | 242,510 MXN | 373.7 % | 18.7 | 14 de mayo de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LEVBETH MEDICAL, S.A. DE C.V. | 33 | 89,806.8 MXN | 23.5 % | 11.6 | 2012 - 2015 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 2 | 7,750 MXN | 15.5 % | 0.79 | 2009 - 2010 |
| AVANT MEDICAL, S.A. DE C.V. | 1 | 1,679.9 MXN | 45.4 % | 0.454 | 2013 - 2013 |
| BERNIE MEDICAL, S. A. DE C. V. | 1 | - MXN | - | - | 2012 - 2012 |
| CORPORACION ARMO, S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| JAR MEDICAL, S. A. DE C. V. | 1 | 1,692.9 MXN | 45.8 % | 0.458 | 2013 - 2013 |
| JOHNSON & JOHNSON MEDICAL MEXICO, S. A. DE C. V. | 1 | 242,510 MXN | 373.7 % | 18.7 | 2012 - 2012 |
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=060.166.2828.02")
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=060.166.2828.02')
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=060.166.2828.02')