Better Healthcare: Exploring Business Intelligence for Healthier Malaysian Rural Dwellers (original) (raw)
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MRHRBI MODEL -BUSINESS INTELLIGENCE REQUIREMENT MODEL FOR MALAYSIAN RURAL HEALTHCARE
Improvement in health status of the rural population is one of the important national agenda of Malaysia. The Ministry of Health as the main healthcare provider for rural communities has done remarkably well in establishing an extensive network of rural healthcare services and delivering costeffective healthcare as a vital part of the nation's socioeconomic development. However, despite many healthcare policies and programs carried out by the ministry, differentials in health status continue to exist between urban and rural populations. Hence, taking these issues into considerations, this study explores the concept of business intelligence (BI) in helping Malaysian healthcare decision makers in achieving their strategic goal. In this study, BI is posited as a tool that can help in utilizing available data and performing analytic to support improvements critical to improving health among rural communities. As healthcare industry has always been information intensive, forward-thinking healthcare decision makers should realize that data, thus, BI is at the center of informed and precise decision-making. BI is seen as a tool to help improve healthcare services, which in turns ensures the future of rural health. This study explored and analysed the phases leading to the business intelligence requirements for strategic decision in rural healthcare in Malaysia. The qualitative methods comprising stages from Requirements Management Control (RMC) methodology are employed. Content analysis is used to analyze the data. Finally, a BI model for national rural healthcare is proposed.
Healthcare Business Intelligence: The Case of University’s Health Center
E-CASE & E-TECH, 2012
Organizations, private or public, feel increasing pressures, forcing them to respond quickly to changing conditions and be innovative in the way they operate. Such activities require organizations to be agile and make frequent and strategic, tactical, and operational decisions. Making such decision may require considerable amounts of timely and relevant data, information, and knowledge. Every semester university admits new students; they do subject them to medical screening which sometimes includes the staffs and returning students. However, the results of the medical test from the laboratory technologists and the doctors, such as patient diagnosis, treatment and medical prescription are currently kept in the health center data repository for record purposes without being further explored for their managerial activities. Therefore, this paper applies Business Intelligence (BI) method for exploring the university health center database repository. The data warehouse was built for the activities in university health center and a prototype was developed at the end, while the system is evaluated by the prospective users of the system. The result of this research helps the university health center management by simplifying the technique needed for managerial decision making and forecasting future activities that would help the center. Also, the health care BI is also useful to know the medical statistics of the patients in university community and the drugs that need to be frequently ordered for.
Business Intelligence and its Applications in the Public Healthcare System
Business intelligence (BI) has been known as a popular tool in business management and decision support systems. BI helps to transform raw data into smart information. There are many BI tools such as extract transform and load (ETL), data warehouse, online analytical processing (OLAP), and dashboard. BI tools are usually used in public health fields for financial and administrative purposes. Now BI is also helping public health organisations with diagnosing and treating patients with long term conditions and evaluating alternative treatments based on outcomes analyses. BI is composed of four steps: integration, storage, analysis, and presentation. BI usually uses a dashboard in the presentation step to deliver the information to end users. The development an effective dashboard is still a challenge.
Business intelligence in healthcare organizations
Proceedings of the 35th Annual Hawaii International Conference on System Sciences
The management of healthcare organizations starts to recognize the relevance of the definition of care products in relation to management information. In the turmoil between costs, care-results and patient satisfaction the right balance is needed and can be found in upcoming information and communication technology. The ICT developments are a challenge in two directions, inside toward massive Data warehouses , outside toward internet dissemination. These new technologies deliver new solutions for old problems. This paper argues that although the new technology has a high potential, a great deal of the solution will be of an organizational nature. In four cases we show the spectrum from organizational solutions (changing structure and definitions, forms and procedures), to ICT solutions (changing systems and infrastructures).Main results of this study were the notion that model bases, although in theory existent for more than two decades are still scarce in healthcare organizations. Secondl, a big gap, both on content and on price, was noticed between decision oriented and model oriented systems. Finally the definition of terminology and the standardization were time consuming tasks on the road to management information in the four cases studied. Business Intelligence can be the integration between the organizational and ICT component by using a management model and a concept of integrated systems. The use of intranet and internet as communication channels for management information is seen as the challenge for the near future.
Background and Aim: Business Intelligence, not as a tool of a product but as a new approach is propounded in organizations to make tough decisions in business as shortly as possible. Hospital managers often need business intelligence in their fiscal, operational, and clinical reports and indices. Recognition of critical success factors (CSF) is necessary for each organization or project. Yet, there is not a valid set of SCF for implementing business intelligence. The main goal of recognition and ranking CSF is implementation of a business intelligent system in hospitals to increase success factor of application of business intelligence in health and treatment sector. Materials and Methods: This paper is an application and descriptive-analytical one, in which we use questionnaires to gather data and we used SPSS and LISREL to analyze them. Its statistical society is managers and personnel of Hasheminejad hospital and case studies are selected by Cochran formula. Results: The findings show that all three organizational, process, and technological factors equally affect implementation of business intelligence based on Yeoh & Koronis approach, where the assumptions are based upon it. The proposed model for CSFs of business intelligence in hospitals include: declaring perspective, goals and strategies, development of human and financial resources, clarification of organizational culture, documentation and process mature, management support, etc. Conclusion: Business intelligence implementation is affected by different components. Center of Hasheminejad hospital BI system as a leader in providing quality health care, partially succeeded to take advantage of the benefits the organization in passing the information revolution but the development of this system to achieve intelligent hospital and its certainty is a high priority, thus it can`t be said that the hospital-wide BI system is quite favorable. In this regard, it can be concluded that Hasheminejad hospital requires practical model for business intelligence systems development.
Critical Success Factors of Business Intelligence Implementation in Thai Hospitals
International Journal of Healthcare Information Systems and Informatics
Business intelligence (BI) has become a popular among management executives of different industries. Many publications have mentioned Big Data and how to use data intelligently. However, little is known about how to successfully implement BI in the healthcare industry. The unique characteristic of this business, which focuses only on quality of care and patient safety, has a big impact on decision-making. This research is based on a literature review and empirical evidence collected from interviews with professionals involved in the healthcare industry. Twenty-four hospital executives and Information Technology staff who have direct or indirect experience with BI were interviewed. It investigates critical success factors for BI implementation in hospitals and provides insight into the healthcare industry in Thailand. The concept of grounded theory was applied for content analysis. Insights from this research contribute to academia and the healthcare industry by providing first-time ...
Understanding business intelligence in the context of healthcare
Health Informatics Journal, 2009
In today's fast changing healthcare sector, decision makers are facing a growing demand for both clinical and administrative information in order to comply with legal and customer-specific requirements. The use of Business Intelligence (BI) is seen as possible solution to this actual challenge. As the constituent research about BI is primarily focussed on the industrial sector, it is the aim of this contribution to translate and amend the current findings for the healthcare context. For this purpose, different definitions of BI are examined and condensed in a framework. Furthermore, the sector-specific preconditions to effectively use and the future role of BI are discussed.
An Integrated Business Intelligence Framework for Healthcare Analytics
International Journal of Advanced Research in Computer Science and Software Engineering
Business Intelligence (BI) is a set of tools, applications, and techniques used to help organizations taking the right actions and decisions. Analytics that consolidate lab information with finance, pharmacy, radiology, and other offices might assume a critical part in the vital arranging necessary should move forward those caliber from claiming mind Also diminish Generally speaking expenses. Using BI for enhancing the analytics of healthcare sector will help improve the results obtained from such systems. This paper proposes an integrated BI framework for healthcare analytics. This framework composed of six tiers; data source, Extract Transform and Load (ETL), Data storage, analytics, optimization, and presentation tier. Moreover; the paper presents an approach for the analytics tier that will provide better results regarding data analytics.
2018
Business Intelligence (BI) in the healthcare sector has taken up in recent years in many countries. This advanced intelligent technology approach is increasingly being adopted in Namibia as well. However, the adoption of this technology in Namibia's healthcare sector is still relatively new and facing challenges. BI is about analysing data for more informed decision-making. It would be an ideal technology to adopt in Namibia's healthcare sector, particularly because there are so much data stored in the silo health information systems (HIS) that Namibian public hospitals are hosting. With silo systems, real time access to up-to-date data is difficult when they are needed for decision-making. BI techniques have the potential to provide an effective computation environment in Namibia's healthcare sector, especially in the area of disease surveillance. The aim of this study is to come up with a BI model for disease surveillance in Namibia. The first phase of the study is qualitative, applying an interpretive approach. Interviews and questionnaires will be conducted with health administrators and decision-makers on the status quo on access to BI information in Namibia's healthcare institutions. In the second phase of the research, a Design Science Research approach will be adopted resulting in the design of a BI model for disease surveillance in Namibia.
Business Intelligence for Healthcare
E-Health and Telemedicine: Concepts, Methodologies, Tools, and Applications, 2000
Using an interpretive case study approach, this chapter describes the data quality problems in two companies: (1) a Multi-Facility Healthcare Medical Group (MHMG), and (2) a Regional Health Insurance Company (RHIS). These two interpretive cases examine two different processes of the healthcare supply chain and their integration with a business intelligence system. Specifically, the issues examined are MHMG's revenue cycle management and RHIS's provider enrollment and credentialing process. A Data and Information Quality (DIQ) assessment of the revenue cycle management process demonstrates how a framework, referred to as PGOT, can identify improvement opportunities within any information-intensive environment. Based on the assessment of the revenue cycle management process, data quality problems associated with the key processes and their implications for the healthcare organization are described. This chapter provides recommendations for DIQ best practices and illustrates these best practices within this real world context of healthcare.