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Description
Espirales helicoidales de liberación mecánica o hidráulica para embolización endovascular. Estéril y desechable. Longitud: 4 cm Calibre: 0.018" Hélice: 4 mm
Classification
Material médico. Material de curacion
IMSS product code
060.365.1407.00
Presentation
Pieza
Each circle represents one of the 5 purchases of ESPIRALES made by the IMSS between 2011 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 3 | 38,919.2 MXN | 7,424.5 MXN | 36.9 % | 1.11 | 7 de noviembre de 2018 |
| H. de Especialidades Núm 71, Torreón, Coahuila Umae Especialidades Coahuila | Coahuila | 1 | 68,521.2 MXN | 9,451.2 MXN | 16 % | 2.4 | 31 de marzo de 2017 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 425,932 MXN | 58,749.2 MXN | 16 % | 17.3 | 8 de febrero de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ENDOMEDICA,S. A. DE C. V. | 2 | 3,104.5 MXN | 47.4 % | 0.948 | 2016 - 2016 |
| DISENO Y DESARROLLO MEDICO, S.A. DE C.V. | 1 | 4,320 MXN | 16 % | 0.16 | 2018 - 2018 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 9,451.2 MXN | 16 % | 2.4 | 2017 - 2017 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 58,749.2 MXN | 16 % | 17.3 | 2011 - 2011 |
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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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=060.365.1407.00")
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=060.365.1407.00')
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=060.365.1407.00')