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Description
CATETERES GUIA PARA ARTERIA CORONARIA IZQUIERDA, ASA 4.0 CM. TIPO: JUDKINS. LONGITUD 100 CM. CALIBRE 8 FR.
IMSS product code
060.167.7610.11
Each circle represents one of the 99 purchases of CATÉTERES made by the IMSS between 2009 and 2019.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CARDIO-NEF, S.A. DE C.V. | 32 | 1.1 millones MXN | 46.3 % | 1,480.5 | 2010 - 2016 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 27 | 1.1 millones MXN | 12 % | 1,797 | 2009 - 2019 |
| CARDIOPACE, S.A. DE C.V. | 10 | 48,700.9 MXN | 65.9 % | 73.9 | 2009 - 2011 |
| MEDTRONIC, S. DE R. L. DE C. V. | 5 | 853.2 MXN | 0.56 % | 1.4 | 2014 - 2015 |
| CEO HEALTH SA DE CV | 3 | 79,325.2 MXN | 12.7 % | 129.7 | 2016 - 2018 |
| ESCAMILLA ZENTENO AURORA | 3 | - MXN | - | - | 2009 - 2010 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 3 | 21,666.4 MXN | 151.3 % | 36.3 | 2009 - 2009 |
| PROVEEDORA RM, S. A. DE C. V. | 3 | - MXN | - | - | 2011 - 2013 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 3 | 78,222.4 MXN | 18.3 % | 126.5 | 2014 - 2015 |
| ARTIMEDICA, S.A. DE C.V. | 2 | 130,077.9 MXN | 38.5 % | 180.1 | 2010 - 2018 |
| BIOSTER, S.A. DE C.V. | 2 | 12,180.7 MXN | 107.5 % | 20.4 | 2009 - 2009 |
| PROMEDICA GARCIA, S. A. DE C. V. | 2 | 41,885.2 MXN | 21.1 % | 67.6 | 2017 - 2018 |
| CONTENIDO CIENTIFICO, S. A. DE C. V. | 1 | 4,427.5 MXN | 92.8 % | 7.42 | 2009 - 2009 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 2,277.5 MXN | 365.9 % | 3.66 | 2016 - 2016 |
| MEDICAMEX, S. A. DE C. V. | 1 | 52,016 MXN | 8.89 % | 85.4 | 2014 - 2014 |
| NORTECHMEDICAL S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
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=060.167.7610.11")
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=060.167.7610.11')
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=060.167.7610.11')