MRHRBI MODEL -BUSINESS INTELLIGENCE REQUIREMENT MODEL FOR MALAYSIAN RURAL HEALTHCARE (original) (raw)
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Better Healthcare: Exploring Business Intelligence for Healthier Malaysian Rural Dwellers
UUM Press ISBN 978-983-2078-74-6, 2013
Healthcare in the rural areas have been encountering decision making issues which are due to the lack of maximising the use of their historical data. It is a general believe that many of healthcare data together with strong analytics by business intelligence brings about proposition for attainment of community healthcare success. This study intends to explore and analyse the phases leading to the business intelligence requirements for strategic decision in healthcare organisation in rural healthcare in Malaysia. Thus, goal-oriented approach and Requirements Management Control methodology are employed, leading to the requirement analysis model for Malaysian rural healthcare.
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 ...
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.
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.
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.
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.
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.
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.
Requirements elicitation or Requirements gathering is the most important part of any project irrespective of the system development methodology being used. A number of fact-finding techniques have been introduced in this respect. Many Healthcare Knowledge Management System (HKMS) projects start with an incomplete or incorrect list of requirements which ultimately result in halting, delaying or failure of those projects. Requirements elicitation is the most important step of the requirements discovery process which focuses on fact-finding and data acquisition by using different techniques. The purpose of this study is to identify and determine those factors which affect the requirements gathering and discovery process and cause hindrance individually or collectively during fact-finding process. This ultimately results in misguiding the direction of the project. Dealing with such factors will help in developing proper and appropriate system requirements specifications. Furthermore, this study will also pave the way to find out solutions to cater and mitigate the occurrence and existence of such factors.
Environment and Water Resource Management / 813: Modelling and Simulation / 814: Power and Energy Systems / 815: Health Informatics, 2014
Background Futures Group through a CDC cooperative agreement has been working with the Kenya Ministry of Health (MoH) to develop a patient-level data warehouse and business intelligence (BI) solutions to ensure that electronic patient care data is used in real-time decision making. Challenge While the Kenya MoH has been investing in information communication technology (ICT) implementations to improve service delivery, a number of these implementations are silos leading to multiple unintegrated systems. This has consequently deprived policy makers and the general public of a rich and centralized repository of data for country level business intelligence, analytics and reporting capabilities. Response To address this challenge, the Kenya MoH and Futures Group have started development of a HIV centric data mart to further understanding requirements, design, implementation and data security needs.