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Description
SUTURAS SINTETICAS ABSORBIBLES. MONOFILAMENTO DE POLIDIOXANONA CON AGUJA. LONGITUD DE LA HEBRA. 70 CM CALIBRE DE LA SUTURA. 0 CARACTERISTICAS DE LA AGUJA. 1/2 CIRCULO, PUNTA AHUSADA (35-40 MM).
IMSS product code
060.841.2045.13
Each circle represents one of the 20 purchases of SUTURAS made by the IMSS between 2012 and 2019.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 9 | 7.3 millones MXN | 963,541.4 MXN | 14.9 % | 1,312.2 | 2 de enero de 2019 | |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 5 | 19,129.6 MXN | 7,568.1 MXN | 51.5 % | 9.5 | 22 de noviembre de 2018 |
| Delegación Michoacán Almacen Delegacional En Michoacan | Michoacán | 2 | 127,566.1 MXN | 26,487.6 MXN | 34.1 % | 23 | 4 de noviembre de 2014 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 890.7 MXN | 379.6 MXN | 74.3 % | 0.743 | 13 de abril de 2016 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 3,669.4 MXN | 2,399.3 MXN | 188.9 % | 3.78 | 13 de diciembre de 2018 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 18,398.3 MXN | 10,777.4 MXN | 141.4 % | 17 | 13 de diciembre de 2018 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 23,531.8 MXN | 20,465.3 MXN | 667.4 % | 40 | 14 de noviembre de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LABORATORIOS SERRAL, S.A. DE C.V. | 5 | 328,530.2 MXN | 14.4 % | 596.5 | 2015 - 2019 |
| INTERNACIONAL FARMACEUTICA, S.A. DE C.V. | 4 | 548,788.2 MXN | 15.7 % | 639.6 | 2012 - 2014 |
| PRODUCTOS MEDICOS E HIGIENICOS S.A. DE C.V. | 3 | 3,396.6 MXN | 58.4 % | 2.93 | 2013 - 2014 |
| COMERCIAL HOSPITALARIA S.A DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| DISTRIBUIDORA DIEVSA SA DE CV | 1 | 14,894.7 MXN | 52.3 % | 13.1 | 2013 - 2013 |
| DURFA, S. A. DE C. V. | 1 | 20,465.3 MXN | 667.4 % | 40 | 2016 - 2016 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 10,777.4 MXN | 141.4 % | 17 | 2018 - 2018 |
| MEDICAMENTOS Y SERVICIOS INTEGRALES DEL NOROESTE, | 1 | 4,171.5 MXN | 82.1 % | 6.57 | 2018 - 2018 |
| MEDICINA MINIMA INVASIVA, S.A DE C.V. | 1 | 2,399.3 MXN | 188.9 % | 3.78 | 2018 - 2018 |
| SUPLEMENTOS MEDICO QUIRURGICOS, S.A. DE C.V. | 1 | 97,815.9 MXN | 14.9 % | 85.9 | 2012 - 2012 |
| TOTAL FARMA, S.A. DE C.V. | 1 | 379.6 MXN | 74.3 % | 0.743 | 2016 - 2016 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.841.2045.13")
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=060.841.2045.13')
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=060.841.2045.13')