Shared decision making: a serious game based on OSCE for clinicians

Sülün, Ahmet
Shared decision making(SDM) is an essential process to improve outcomes and reflect patient views in medical consultation. In SDM, the treatment that patient will take is a decision reached by the participation of both the clinician and the patient. To achieve SDM, clinicians should explain possible treatment options with their pros and cons and encourage patients to join in the process, and patients should state their ideas about the options and preferences about the outcomes. This process follows three steps in the three-talk model of SDM. In the first step, clinicians describe the decision-making process to patients. In the second step, clinicians describe treatment options and possible outcomes. In the final step, the clinician and the patient together reach a decision considering the patient’s preferences. However, while the current health systems put some barriers to this process, such as limited and short time spared for consultation, there are other barriers too, such as patients seeing the clinician as the final decision authority in the medical domain or clinicians not knowing or being unwillingly about how to reach patients. Serious games, as being games that not only entertain, are mediums widely used in the medical domain and education. It provides an environment for the players where they can exercise, practice, and learn. This thesis aims to design a dialogue-based serious game for physiotherapists to improve their SDM actualization skills and create an environment where clinicians can practice the SDM process. For this aim, the objective structured clinical examination (OSCE) method, which is commonly used in medical education and provides a pseudo or virtual patient for students, will be used to design the game.


Combining data and meta-analysis to build Bayesian networks for clinical decision support
Yet, Barbaros; Rasmussen, Todd E.; Tai, Nigel R. M.; Marsh, D. William R. (2014-12-01)
Complex clinical decisions require the decision maker to evaluate multiple factors that may interact with each other. Many clinical studies, however, report 'univariate' relations between a single factor and outcome. Such univariate statistics are often insufficient to provide useful support for complex clinical decisions even when they are pooled using meta-analysis. More useful decision support could be provided by evidence-based models that take the interaction between factors into account. In this paper...
Lung ultrasound and computed tomographic findings in pregnant woman with COVID-19
Kalafat, Erkan; Yaprak, E.; ÇINAR, GÜLE; VARLI, BULUT; Ozisik, S.; UZUN, ÇAĞLAR; AZAP, ALPAY; KOÇ, ASLI (2020-06-01)
Imaging modalities play a crucial role in the management of suspected COVID-19 patients. Before reverse transcription polymerase chain reaction (RT-PCR) test results are positive, 60-93% of patients have positive chest computed tomographic (CT) findings consistent with COVID-19. We report a case of positive lung ultrasound findings consistent with COVID-19 in a woman with an initially negative RT-PCR result. The lung ultrasound-imaging findings were present between the negative and subsequent positive RT-PC...
Multi-period appointment planning and scheduling in healthcare.
Bilgiç, Utku Tarık; Batun, Sakine; Department of Industrial Engineering (2019)
Appointment planning and scheduling (APS) plays a crucial role in patient service quality as well as utilization of valuable resources in healthcare. In this study, we considered the integrated problem of appointment planning and scheduling in an outpatient procedure center (OPC) over a planning horizon of multiple periods. We formulated the problem as a two-stage stochastic mixed-integer linear program (SMILP) with uncertainty in surgery durations. The first-stage problem consists of period assignment of s...
A Secure Semantic Interoperability Infrastructure for Inter-Enterprise Sharing of Electronic Healthcare Records
Boniface, Mike; Watkins, E. Rowland; Saleh, Ahmed; Doğaç, Asuman; Eichelberg, Marco (2006-06-09)
Healthcare professionals need access to accurate and complete healthcare records for effective assessment, diagnosis and treatment of patients. The non-interoperability of healthcare information systems means that inter-enterprise access to a patient's history over many distributed encounters is difficult to achieve. The ARTEMIS project has developed a secure semantic web service infrastructure for the interoperability of healthcare information systems. Healthcare professionals share services and medical in...
Achieving Clinical Statement Interoperability Using R-MIM and Archetype-Based Semantic Transformations
Kılıç, Özgün Ozan (2009-07-01)
Effective use of electronic healthcare records (EHRs) has the potential to positively influence both the quality and the cost of health care. Consequently, sharing patient's EHRs is becoming a global priority in the healthcare information technology domain. This paper addresses the interoperability of EHR structure and content. It describes how two different EHR standards derived from the same reference information model (RIM) can be mapped to each other by using archetypes, refined message information mode...
Citation Formats
A. Sülün, “Shared decision making: a serious game based on OSCE for clinicians,” M.S. - Master of Science, Middle East Technical University, 2022.