Decision Support System in Healthcare Industry

Abstract

In this paper we propose Decision support system implementation for health care system with the use of decision support system. The system integrates the input data from relevant sources into an autonomous data warehouse, while the client front-end ensures adequate output presentation to the user so as reveal significant details and dependencies. Applying the system as an "on -the -fly" decision-support facility for the policy-makers has resulted in significant acceleration of planning procedure, raised the overall awareness with respect to the underlying methodology and, ultimately, enabled more efficient academic administration.

MHealth for Decision Making Support: A Case Study of EHealth in the Public Sector

“…The researchers from several disciplines have been reviewing computerized DSS for around 55 years [26] [27] [28]. DSS frameworks can be distributed into five types including: first-Model(driven DSS), second(Data-driven www.ijacsa.thesai.org DSS) [29] [26], third Communications (driven DSS), forth Document (driven DSS), fifth Knowledge (driven DSS).…”

Quality in Australian after‐hours doctor home visits: exploring the clinical, professional and security supports available to involved practitioners

“…The third form of support, clinical support for AHHC doctors, can be in the form electronic clinical decision support systems (CDSSs), books, manuals, drug formularies and so on, which help clinicians with point‐of‐care decision making on issues like diagnosis, prioritizing investigations, recommending treatments and ordering medications . In Australian general practice, most clinical support tools are built‐in in softwares like the ‘Medical Director’ or ‘Best Practice’ and are easily available to regular‐hour office‐based GPs through their computers.…”

“…The third form of support, clinical support for AHHC doctors, can be in the form electronic clinical decision support systems (CDSSs), books, manuals, drug formularies and so on, which help clinicians with point-of-care decision making on issues like diagnosis, prioritizing investigations, recommending treatments and ordering medications. [13][14][15][16][17][18][19][20][21][22] In Australian general practice, most clinical support tools are built-in in softwares like the 'Medical Director' or 'Best Practice' and are easily available to regular-hour office-based GPs through their computers. They create opportunities for accessing and incorporating up-to-date, robust and evidence-based recommendations into everyday practice [18] and have been reported to be the most valued aspect of support for rural-based doctors.…”

Design of a modular DSS for public health decision-making in the context of a COVID-19 pandemic landscape

“…Despite the emergence of DSS as one of the premier exemplars of IT in healthcare, it is primarily due to the complexity of the systems that their use is not wide spread ( Rajalakshmi et al, 2011 , Wasylewicz and Scheepers-Hoeks, 2019 ). It is difficult to reconcile the desire for simplicity of DSS in healthcare with the call for the increase in their functionality, where the normal targets (e.g., quality, risk, productivity, etc.)…”