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Description
CATETER PARA DILATACION DE PILORO, LONGITUD DE 180 CM. Y BALON DE 5.5 CM. DE LONGITUD, TIPO QUANTUM TTC, CALIBRE DEL CATETER 36 FR. MATERIAL PARA CIRUGIA MEDIANTE ENDOSCOPIOS.
IMSS product code
060.165.0476.02
Each circle represents one of the 40 purchases of CATÉTERES made by the IMSS between 2014 and 2019.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 15 | 548,320.5 MXN | 199,354.3 MXN | 52.7 % | 49.7 | 21 de enero de 2019 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 6 | 351,713.2 MXN | 918 MXN | 1.02 % | 0.491 | 22 de enero de 2018 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 4 | 196,159.7 MXN | 60,107.6 MXN | 24.1 % | 12.1 | 14 de marzo de 2018 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 4 | 50,420.9 MXN | 27,155.5 MXN | 122.9 % | 9.51 | 20 de diciembre de 2016 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 4 | 61,964.4 MXN | 29,766.4 MXN | 91 % | 10.9 | 31 de octubre de 2016 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 2 | 58,775.8 MXN | - MXN | - | - | 22 de abril de 2016 |
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 2 | 24,549.6 MXN | 4,803.8 MXN | 15.2 % | 0.912 | 23 de abril de 2018 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 2 | 94,146.1 MXN | 113 MXN | 0.0842 % | 0.027 | 11 de abril de 2018 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 60,331.4 MXN | 42,426.9 MXN | 237 % | 19 | 16 de junio de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 15 | 16,148.7 MXN | 15.7 % | 7.93 | 2014 - 2018 |
| DISTRIBUIDORA MORA ESPECIALISTA EN EQUIPO MEDICO, | 6 | 918 MXN | 1.02 % | 0.491 | 2014 - 2018 |
| ENDOMEDICA,S. A. DE C. V. | 5 | 51,636 MXN | 121.8 % | 15.5 | 2014 - 2018 |
| ESTRATEGIA HOSPITALARIA S.A. DE C.V. | 3 | 10,761.5 MXN | 120.3 % | 4.28 | 2015 - 2016 |
| GRUPO EMEQUR, S.A. DE C.V. | 3 | 15,465.8 MXN | 54.9 % | 4.94 | 2014 - 2016 |
| PROMEDICA GARCIA, S. A. DE C. V. | 3 | 146,723.9 MXN | 44.3 % | 32.3 | 2017 - 2019 |
| AVANT MEDICAL, S.A. DE C.V. | 1 | 42,426.9 MXN | 237 % | 19 | 2015 - 2015 |
| CAMPAS EQUIPOS SA DE CV | 1 | 58,244.5 MXN | 92.1 % | 11.1 | 2018 - 2018 |
| CONTROL SCIENTIFIC, S.A. DE C.V. | 1 | - MXN | - | - | 2016 - 2016 |
| HI-TEC MEDICAL, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
| MEDICINA MINIMA INVASIVA, S.A DE C.V. | 1 | 22,320.2 MXN | 178.2 % | 7.13 | 2016 - 2016 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.165.0476.02")
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=060.165.0476.02')
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=060.165.0476.02')