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Description
TIPO MILLER NÚMERO: 2 (LONGITUD TOTAL 132 MM) NÚMERO DE CATÁLOGO: 68062, PARA SU USO EN EQUIPO MEDICO: CLAVE 531.568.0057 LARINGOSCOPIO, MARCA: WELCH ALLYN, MODELO: 60813. PIEZA
Classification
Material médico. Accesorios de equipos medicos
IMSS product code
526.326.0290.00
Each circle represents one of the 5 purchases of HOJA DE LARINGOSCOPIO DE FIBRA OPTICA made by the IMSS between 2012 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 2 | 8,419.3 MXN | 1,082.8 MXN | 14.4 % | 1.19 | 15 de julio de 2016 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 11,252 MXN | 1,630.5 MXN | 16.9 % | 1.69 | 4 de noviembre de 2015 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 7,366 MXN | 1,016 MXN | 16 % | 0.8 | 27 de agosto de 2018 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 1 | 6,284.9 MXN | 866.9 MXN | 16 % | 0.96 | 28 de noviembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CEM BIOMEDICA S.A.DE C.V. | 1 | 1,016 MXN | 16 % | 0.8 | 2018 - 2018 |
| GRUPO EMPRESARIAL TECNICARE, S. A. DE C. V. | 1 | 866.9 MXN | 16 % | 0.96 | 2012 - 2012 |
| GRUPO LABCA, S.A. DE C.V. | 1 | 370.8 MXN | 12.8 % | 0.385 | 2015 - 2015 |
| TECNO COMERCIAL PAKTLI, S. A. DE C. V. | 1 | 1,630.5 MXN | 16.9 % | 1.69 | 2015 - 2015 |
| VITER MEDICAL SA. DE CV. | 1 | 712 MXN | 16 % | 0.8 | 2016 - 2016 |
Entity type
Accesorios de equipos medicos
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=526.326.0290.00")
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=526.326.0290.00')
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=526.326.0290.00')