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Description
Para cateterismo venoso central calibre 7 Fr x 20 cm de longitud de poliuretano o silicón con punta flexible radiopaco con dos lúmenes internos distal calibre 16 o 18 G y proximal calibre 14 G o 16 G o 18 G. Dispositivo de fijación ajustable con mínimo una cápsula de inyección y equipo de colocación que contiene: Jeringa con capacidad mínima de 5 cc. Aguja calibre 18 G de 6.35 a 7.20 cm de longitud. Guía de alambre de 45 cm a 70 cm con punta flexible en "J" contenida en funda de plástico con dispensador dilatador vascular y sistema para evitar extravasación de sangre. Estéril y desechable. En la adquisición de esta clave deberá acatarse el material específico que solicite cada institución.
Classification
Material médico. Material de curacion
IMSS product code
060.167.6653.00
Presentation
Pieza
Each circle represents one of the 1 purchases of CATÉTERES made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 1 | 7,052.8 MXN | 0.000000000000909 MXN | 0.0000000000000129 % | 0.0000000000000015 | 13 de agosto de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| S&M DISTRIBUTION, S. DE R.L. DE C.V. | 1 | 0.000000000000909 MXN | 0.0000000000000129 % | 0.0000000000000015 | 2010 - 2010 |
Entity type
Material de curacion
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=060.167.6653.00")
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=060.167.6653.00')
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=060.167.6653.00')