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Description
CATETERES PARA CATETERISMO VENOSO. DE SILICON, RADIOPACO, ESTERIL Y DESECHABLE, CON AGUJA DE PARED DELGADA NO 14. MANDRIL ENTORCHADO Y ADAPTADOR. LONGITUD. 60 CM CALIBRE. 16 FR DIAMETRO EXTERNO. 1.7 MM.
IMSS product code
060.168.3360.11
Each circle represents one of the 6 purchases of CATÉTERES made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 2 | 117,963.6 MXN | 16,270.9 MXN | 16 % | 8.64 | 17 de octubre de 2018 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 2 | 3,745.1 MXN | 479.8 MXN | 8 % | 0.48 | 8 de abril de 2011 |
| Delegación Colima | Colima | 1 | 586.5 MXN | 468 MXN | 394.9 % | 4.54 | 24 de diciembre de 2009 |
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 1 | 25,336.8 MXN | 3,078 MXN | 13.8 % | 29.9 | 30 de marzo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROVEEDORA GAMA MEDICAL SERVICE, S.A. DE C.V. | 2 | 16,270.9 MXN | 16 % | 8.64 | 2018 - 2018 |
| BERNIE MEDICAL, S. A. DE C. V. | 1 | 479.8 MXN | 16 % | 0.48 | 2011 - 2011 |
| CARDENAS ALCARAZ LORENA GUADALUPE | 1 | 468 MXN | 394.9 % | 4.54 | 2009 - 2009 |
| GRUPO ARSYS MEXICO, S.A. DE C.V. | 1 | 3,078 MXN | 13.8 % | 29.9 | 2009 - 2009 |
| PROVEEDORA MEX. DE ARTS. DE CUR. Y LAB, SA CV | 1 | - MXN | - | - | 2009 - 2009 |
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=060.168.3360.11")
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=060.168.3360.11')
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=060.168.3360.11')