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Description
SET DE PROTESIS BILIARES QUEINCLUYE: CABLE GUIA, CATETERGUIA, CATETER POSICIONADORCALIBRE 10 FR Y PROTESIS DE-7, 10 Y 15 CM TIPO COTTON --LEUNG.
IMSS product code
060.345.1246.12
Each circle represents one of the 68 purchases of EQUIPOS made by the IMSS between 2013 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 8 | 267,202.9 MXN | 91,049.4 MXN | 61.7 % | 21.6 | 24 de diciembre de 2018 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 8 | 672,034.4 MXN | 284,366.6 MXN | 77.1 % | 74.5 | 14 de noviembre de 2018 |
| Delegación San Luis Potosí | San Luis Potosi | 7 | 34,168.1 MXN | 11,603.9 MXN | 51.6 % | 4.19 | 11 de febrero de 2016 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 7 | 362,753.1 MXN | 5,783 MXN | 15.7 % | 2.49 | 29 de agosto de 2018 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 5 | 345,667 MXN | - MXN | - | - | 7 de noviembre de 2018 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 4 | 58,143.8 MXN | 37,232.6 MXN | 362.7 % | 16.1 | 29 de octubre de 2015 |
| Delegación Norte del DF Almacen Delegacional En El D.f. Zona Norte | Ciudad de México | 4 | 27,614.2 MXN | 3,184.2 MXN | 10.9 % | 0.869 | 13 de septiembre de 2018 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 4 | 348,113.6 MXN | 24,000.6 MXN | 19.7 % | 8.44 | 24 de mayo de 2018 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 3 | 84,804.5 MXN | 12,071.1 MXN | 60.7 % | 4.61 | 8 de mayo de 2015 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 3 | 197,716.9 MXN | 59,290.7 MXN | 52.5 % | 19.4 | 20 de julio de 2018 |
| Delegación Baja California | Baja California | 2 | 20,880 MXN | 14,280.1 MXN | 216.4 % | 5.02 | 27 de abril de 2015 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 2 | 242,208 MXN | 110,187.3 MXN | 83.5 % | 25 | 16 de octubre de 2018 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 2 | 197,911.3 MXN | - MXN | - | - | 16 de enero de 2018 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 58,162.6 MXN | 4,142.4 MXN | 6.07 % | 1.46 | 7 de febrero de 2018 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 2 | 1.1 millones MXN | 93,286.2 MXN | 8.8 % | 40.9 | 14 de diciembre de 2015 | |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 40,039.8 MXN | 5,902.1 MXN | 17.3 % | 2.07 | 21 de mayo de 2015 |
| Delegación Campeche Almacen Delegacional En Campeche | Campeche | 1 | 36,841.6 MXN | 19,238.8 MXN | 109.3 % | 4.37 | 21 de diciembre de 2018 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 1 | 4,122.2 MXN | 1,277.4 MXN | 44.9 % | 0.449 | 9 de febrero de 2015 |
| Delegación Morelos | Morelos | 1 | 4,060 MXN | 760 MXN | 23 % | 0.267 | 12 de junio de 2015 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 1 | 3,985.6 MXN | - MXN | - | - | 1 de junio de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ENDOMEDICA,S. A. DE C. V. | 12 | 14,150.1 MXN | 23 % | 5.09 | 2014 - 2018 |
| DISTRIBUIDORA MORA ESPECIALISTA EN EQUIPO MEDICO, | 10 | 29,783.6 MXN | 18.8 % | 10.9 | 2014 - 2018 |
| GRUPO EMEQUR, S.A. DE C.V. | 9 | 36,194.5 MXN | 33.2 % | 10.7 | 2014 - 2017 |
| DISPOSITIVOS MEDICOS Y CATETERES, S.A. DE C.V. | 5 | 183,786.2 MXN | 88.5 % | 48.4 | 2016 - 2018 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 4 | 110,187.3 MXN | 41.7 % | 25 | 2017 - 2018 |
| TRANSMEDICA, S.A. DE C.V. | 4 | 5,803.4 MXN | 10.2 % | 2.04 | 2015 - 2018 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 3 | 49,841.4 MXN | 9.97 % | 19.3 | 2015 - 2017 |
| RAUL GONZALEZ ARAUJO | 3 | 5,776.3 MXN | 58.3 % | 2.03 | 2015 - 2015 |
| FORMAS FARMACEUTICAS S.A. DE C.V. | 2 | 14,280.1 MXN | 216.4 % | 5.02 | 2015 - 2015 |
| STATION BUSINESS GROUP AND SERVICES, S.A. DE C.V. | 2 | 39,245.2 MXN | 95.7 % | 7.82 | 2018 - 2018 |
| ALDO CHAVEZ HERNANDEZ | 1 | 23,046.2 MXN | 1,033.9 % | 10.3 | 2014 - 2014 |
| ARSENAL MEDICO, S.A. DE C.V. | 1 | 5,798.1 MXN | 260.1 % | 2.6 | 2014 - 2014 |
| CAGESA ABASTECEDORA DE HOSPITALES, S.A. DE C.V. | 1 | 2,755.2 MXN | 83.5 % | 0.969 | 2015 - 2015 |
| COMERCIALIZADORA Y DISTRIBUIDORA AX-LEX, S.A. DE C | 1 | 18,682 MXN | 106.1 % | 4.25 | 2018 - 2018 |
| ENDOSCOPIA E IMAGEN MEDICA SA. DE CV. | 1 | - MXN | - | - | 2018 - 2018 |
| ESCAMILLA ZENTENO AURORA | 1 | 2,584.9 MXN | 116 % | 1.16 | 2014 - 2014 |
| GUILLERMO GARCIA VERGARA | 1 | 760 MXN | 23 % | 0.267 | 2015 - 2015 |
| HI-TEC MEDICAL, S.A. DE C.V. | 1 | 4,142.4 MXN | 12.1 % | 1.46 | 2015 - 2015 |
| JORGE ROMAN GAMBOA GARCIA | 1 | 19,238.8 MXN | 109.3 % | 4.37 | 2018 - 2018 |
| MEDICA ZARPA, S.A. DE C.V. | 1 | 37,377.6 MXN | 42.5 % | 10.2 | 2017 - 2017 |
| PRODUCTOS MEDICOS E HIGIENICOS S.A. DE C.V. | 1 | 22,684.8 MXN | 79.7 % | 7.97 | 2015 - 2015 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 58,958.3 MXN | 9.69 % | 26.4 | 2013 - 2013 |
| TOTAL FARMA, S.A. DE C.V. | 1 | 21,913 MXN | 114.9 % | 9.2 | 2016 - 2016 |
| VASTHI ZURISADAI RAZO MENDOZA | 1 | 70,666.9 MXN | 84.5 % | 16.1 | 2018 - 2018 |
Date updated in QQW
3 de octubre de 2022
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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=060.345.1246.12")
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=060.345.1246.12')
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=060.345.1246.12')