International Conference on Computer and Knowledge Engineering

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An overview of Business Intelligence research in healthcare organizations using a topic modeling approach

Authors :

Mohammad Mehraeen¹ Laya Mahmoudi² Mohammad Hossein Sharifi³

1- Professor, Dept. of Management Ferdowsi University of Mashhad Mashhad, Iran 2- Ph.D Student at FUM, Dept. of Management Ferdowsi University of Mashhad Mashhad, Iran 3- Ph.D Student at FUM, Dept. of Management Ferdowsi University of Mashhad Mashhad, Iran

Keywords :

Business intelligence،Healthcare organizations،Topic Modeling،Text mining

Abstract :

The intersection of Business intelligence (BI) and data analytics with healthcare has witnessed remarkable growth in recent decades. With the aim of identifying the most attentive themes, topics, and research priorities, this review endeavors to perform a literature analysis on research articles addressing business intelligence in healthcare. To conduct the study, a total of 751 articles, published between 2002 and 2023, were analyzed through topic modeling, a technique used in natural language processing (NLP) and machine learning. As a result, seven major themes were identified: Unique Device Identification, Big Data and Data Analytics, Operational Efficiency, Effective Decision-Making, Healthcare Delivery Optimization, Resource Optimization and Cost Reduction, and Nosocomial Infections are growing. The analysis revealed that there is a growing interest in leveraging business intelligence for infection control and operational improvements using health information technology and data analytics, while efforts to optimize resources/reduce costs appear to be on the decline. The research findings shed light on the increasing capabilities and use of business intelligence in healthcare, highlighting opportunities for future research.

Papers List

List of archived papers

Early detection of Parkinson’s disease using Convolutional Neural Networks on SPECT images

Reyhaneh Dehghan - Marjan Naderan - Seyyed Enayatallah Alavi

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models

Fatemeh Fouladi - Ali Rostami - Hedieh Sajedi

Efficient Prediction of Cardiovascular Disease via Extra Tree Feature Selection

Mina Abroodi - Mohammad Reza Keyvanpour - Ghazaleh Kakavand Teimoory

A New Inter-layer Similarity metric for link prediction in multilayer networks

Alireza Abdollahpouri - Samira Rafiee

FaaScaler: An Automatic Vertical and Horizontal Scaler for Serverless Computing Environments

Zahra Rezaei - Saeid Abrishami - Seid Nima Moeintaghavi

LightFedSelect: A Lightweight Framework for Byzantine-Robust Federated Learning

Seyed Saeed Razavi - Seyed Arsalan Vasegh Rahim Parvar - Soroosh Dadashi Pakdeh - Mohammad Matin Rezaeifard - Morteza Mollaie Chafi - Reza Ebrahimi Atani

An effective hybrid algorithm for locating splicing forgery image

Seyed Hesamoddin Hosseini - Amene Vatanparast - Amir Hossein Taherinia

Hardware-Efficient Pruned CNN Optimized by Neural Architecture Search and Genetic Algorithm for Diabetic Retinopathy Detection on STM32F746

Omid Askari Haddad - Sara Ershadi-Nasab

Robust Learning to Learn Graph Topologies

Navid Akhavan Attar - Ali Fahim

TCAR: Thermal and Congestion-Aware Routing Algorithm in a Partially Connected 3D Network on Chip

Majid Nezarat - Masoomeh Momeni