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Description
CONTIENE: 1 APOSITO ABDOMINAL GRANU FOAM DE ESPUMA FABRICADO CON POLIURETANO RETICULADO (PU) GRADO MEDICO HIDROFOBICO DE PORO ABIERTO CON ORIFICIOS DE 400 A 600 MICRAS TODOS INTERCONECTADOS DE COLOR NEGRO, OVALADA. KIT.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.561.1114.00
Each circle represents one of the 7 purchases of KIT made by the IMSS between 2013 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 3 | 96,396 MXN | 6,560.8 MXN | 22.9 % | 1.38 | 4 de abril de 2014 |
| H. de Traumatología y Ortopedia, Lomas Verdes Umae Traumatologia Y Ortopedia Lomas Verdes | Estado de México | 2 | 54,322.8 MXN | 10,852.8 MXN | 29.6 % | 2.26 | 28 de enero de 2014 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 647,337.6 MXN | 89,288 MXN | 16 % | 9.92 | 30 de abril de 2015 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 137,982 MXN | 74,480.6 MXN | 117.3 % | 3.52 | 25 de septiembre de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BLUE PACIFICARE, S. DE R.L. DE C.V. | 3 | 10,852.8 MXN | 19.7 % | 2.26 | 2013 - 2014 |
| PE MEDICAL SA DE CV | 2 | 6,560.8 MXN | 34.4 % | 1.38 | 2013 - 2014 |
| EQUIPOS MEDICOS DE BAJA CALIFORNIA, S.A. DE C.V. | 1 | 89,288 MXN | 16 % | 9.92 | 2015 - 2015 |
| MEDICAL RECOVERY, S.A. DE C.V. | 1 | 74,480.6 MXN | 117.3 % | 3.52 | 2017 - 2017 |
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=379.561.1114.00")
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=379.561.1114.00')
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=379.561.1114.00')