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Description
PARA ELECTROCARDIOGRAFO HEWLETT PACKARD 9270-767DE 3 CANALES, TERMOSENSIBLE.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.681.0020.00
Each circle represents one of the 78 purchases of PAPEL made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 26 | 142,701.4 MXN | 21,976.4 MXN | 15.1 % | 76.7 | 31 de marzo de 2017 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 17 | 146,229.8 MXN | 46,229.8 MXN | 45.7 % | 163.2 | 31 de octubre de 2018 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 13 | 93,375.3 MXN | 35,490.9 MXN | 58.8 % | 139.3 | 18 de marzo de 2015 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 6 | 40,077.2 MXN | 1,785.3 MXN | 7.52 % | 6.77 | 16 de abril de 2018 |
| Delegación Sinaloa | Sinaloa | 6 | 55,912 MXN | 11,304.5 MXN | 25.1 % | 33.8 | 20 de septiembre de 2013 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 2 | 10,956.2 MXN | - MXN | - | - | 2 de mayo de 2011 |
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 2 | 6,930 MXN | 5,521.7 MXN | 405.6 % | 16.2 | 9 de marzo de 2010 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 2 | 16,889.6 MXN | 5,131.4 MXN | 43.7 % | 17.5 | 26 de octubre de 2017 |
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 1 | 1,495 MXN | 26.2 MXN | 1.79 % | 0.0893 | 26 de agosto de 2009 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 27,840 MXN | - MXN | - | - | 26 de noviembre de 2014 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 371,142.5 MXN | 55,506.8 MXN | 17.6 % | 189.6 | 19 de octubre de 2015 |
| H. de Especialidades No. 1, "Lic. Ignacio García Tellez" Mérida, Yucatán. Umae Especialidades Yucatan | Yucatán | 1 | 8,700 MXN | 5,834.4 MXN | 203.6 % | 20.4 | 2 de noviembre de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 19 | 11,663.3 MXN | 14.5 % | 42 | 2010 - 2017 |
| ALVAREZ SALAZAR ELEAZAR | 13 | 34,840.3 MXN | 44.7 % | 128.1 | 2009 - 2014 |
| SUMINISTRO MEDICO AVANZADO S.DE R.L. DE C.V. | 6 | 6,519.8 MXN | 38.8 % | 26.5 | 2012 - 2015 |
| COMERCIALIZADORA EN INST. MEDICO E IND., S.A. DE C | 4 | 12,534.9 MXN | 53.7 % | 40.5 | 2009 - 2012 |
| CONTROLES GRAFICOS, S.A. DE C.V. | 4 | - MXN | - | - | 2009 - 2012 |
| DISTRIBUIDORA DE EQUIPO MEDICO E INDUSTRIAL DE MEX | 4 | 10,290.1 MXN | 29.6 % | 34.6 | 2009 - 2011 |
| AKUASUL, S.A. DE C.V. | 2 | 34.4 MXN | 0.6 % | 0.12 | 2018 - 2018 |
| CAMACHO LOPEZ JOSE ODILON | 2 | 5,596.4 MXN | 36.1 % | 16.7 | 2013 - 2013 |
| CORREA AYALA GEORGINA | 2 | 5,521.7 MXN | 405.6 % | 16.2 | 2009 - 2010 |
| INSTRUMENTOS Y PRODUCTOS BIOMEDICOS DE MEXICO, S.A | 2 | 5,131.4 MXN | 43.7 % | 17.5 | 2015 - 2017 |
| MARIA DEL ROSARIO JAUREGUI RAMIREZ | 2 | 2,890.6 MXN | 43.2 % | 8.64 | 2013 - 2013 |
| SERVICIOS MEDICOS Y TECNICOS, S.A. DE C.V. | 2 | 1,785.3 MXN | 22.6 % | 6.77 | 2012 - 2013 |
| A.C.M. AZTECA COMERCIALIZACION MUNDIAL | 1 | 1,884.1 MXN | 23 % | 4.59 | 2010 - 2010 |
| ADMINISTRACION GLOBAL MU?OZ, S. A. DE C. V. | 1 | 55,506.8 MXN | 17.6 % | 189.6 | 2015 - 2015 |
| APLICACIONES MEDICAS Y TECNOLOGICAS, SA DE CV | 1 | 26.2 MXN | 1.79 % | 0.0893 | 2009 - 2009 |
| ASESORIA MEDICA Y EQUIPAMIENTO HOSPIT., SA DE CV | 1 | - MXN | - | - | 2015 - 2015 |
| CARLOS MANUEL UICAB CRESPO | 1 | 5,834.4 MXN | 203.6 % | 20.4 | 2018 - 2018 |
| DISTRIBUIDORA PE-CER S.A. DE C.V. | 1 | - MXN | - | - | 2009 - 2009 |
| DULCE PRISILIA CONTRERAS VAZQUEZ | 1 | 1,528.1 MXN | 45.7 % | 4.57 | 2013 - 2013 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| ITM INTERNACIONAL DE TECNOLOGIAS MEDICAS S.A. DE C | 1 | 18,341.7 MXN | 337.6 % | 81 | 2014 - 2014 |
| LITO MEDICAL S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| OPERADORA ESPECIALIZADA EN PRODUCTOS MEDICOS MQCH | 1 | 3,192.3 MXN | 31.8 % | 9.55 | 2013 - 2013 |
| PROTECNOLOGICA INTEGRAL MUVA, S.A. DE C.V. | 1 | 23 MXN | 0.423 % | 0.102 | 2014 - 2014 |
| REPRESENTACIONES MEDICAS GREKAL S,A DE C,V, | 1 | 3,018.3 MXN | 30.1 % | 9.03 | 2013 - 2013 |
| SOLUMEDI, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| TECNO COMERCIAL PAKTLI, S. A. DE C. V. | 1 | - MXN | - | - | 2014 - 2014 |
| ZAZUETA GARZA DOROTEO RAMON | 1 | 2,644.2 MXN | 35 % | 6.99 | 2011 - 2011 |
Entity type
Consumibles de equipos medicos y de laboratorio
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=379.681.0020.00")
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=379.681.0020.00')
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=379.681.0020.00')