Kelola Kubikal Data
Transaksional Sistem Informasi Rumah Sakit Dengan Teknik Online Analytical
Processing
Feri Sulianta—Data transaksional rumah sakit dapat diberdayakan lebih lanjut untuk ragam
keperluan dan bukan hanya sebagai arsip riwayat pasien perseorangan saja.
Berbagai informasi berharga dapat diungkapkan dari data transkasional rumah
sakit yang dihasilkan dari sistem rekam medis.Dalam kasus ini untuk mendapatkan
kejelasan yang melibatkan informasi menyeluruh yang juga melibatkan
ragam sudut pandang dapat disolusikan dengan teknik Online Analytical
Processing (OLAP). Teknik ini mampu mengakomodasi kelengkapan data yang
nantinya menjadi framework untuk dianalisa secara seksama Mengacu pada data
rekam medis dimana setiap pasien memiliki banyak keluhan dan latar belakang
yang berbeda yang terelasi dengan sang pasien. Teknik OLAP mampu
menyajikan data dalam bentuk multidimensi. Selanjutnya, OLAP akan melakukan
eksekusi data yakni slicing(irisan) dan dicing(rotasi) yakni meringkas
dan mengumpulkan sejumlah besar data, melakukan filtering, pengurutan, dan
memberikan peringkat (rangking) yang akan memperkaya temuan berharga dari data
kubikal.
Kata kunci: online analytical processing (olap), data rekam media, data
kubikal, slicing, dicing.
Abstract in english - Hospital transactional data can be further empowered for diverse purposes and
not just as an individual patient history archive only. Various valuable
information may be disclosed from transactional the data which is generated
from the system. To clarify that involve thorough information that also
involves diverse viewpoints are treated with techniques Online Analytical
Processing (OLAP). This technique is able to accommodate the completeness of
the data that will be analyzed carefully. Mengacu framework for the medical
records where each patient has a lot of complaints and different backgrounds
who terelasi with the patient. OLAP techniques capable of presenting data in a
multidimensional form. Furthermore, OLAP will execute the data that is slicing
(slice) and dicing (rotation) that summarize and collect large amounts of data,
perform filtering, sorting, and rank (rank) that will enrich the valuable
findings from the data cubes. Hospital transactional data can be further
empowered for various purposes, and not just as an individual patient history
archive only. Various valuable information may be disclosed from the hospital
transkasional the data generated from the medical record system. To obtain
complete clarity that also involves a variety of viewpoints are treated with
techniques Online Analytical Processing (OLAP). This technique is able to
accommodate the completeness of the data that will be the framework to be
analyzed carefully. Referring to the medical records where each patient has a
lot of complaints and different backgrounds related to the patient. OLAP
techniques capable of presenting data in a multidimensional form. Furthermore,
OLAP will execute the data that is slicing (slice) and dicing (rotation) that
summarize and collect large amounts of data, perform filtering, sorting, and
rank (rank) that will enrich the valuable findings from the data cubes.
Keywords: online analytical processing (olap), medical record data, data
cubicles, slicing, dicing
0 comments:
Posting Komentar