Title: Adoption Of Precision Medicine; Limitations And Considerations

Abstract:

Research is ongoing all over the world for identifying the barriers and finding effective solutions to accelerate the projection of Precision Medicine (PM) in the healthcare industry. Yet there has not been a valid and practical model to tackle the several challenges that have slowed down the widespread of this clinical practice. This study aimed to highlight the major limitations and considerations for implementing Precision Medicine. The two theories Diffusion of Innovation and Socio-Technical are employed to discuss the success indicators of PM adoption. Throughout the theoretical assessment, two key theoretical gaps are identified and related findings are discussed.

Biography:

Nasim Sadat Mosavi is a Ph.D. student at the University of Minho (UMinho), Portugal. She also works as a researcher at Centro algoritmi, (UMinho). Her research interest is Intelligent Decision Support Systems (IDSSs) using Machine learning and optimization techniques. Healthcare/Medicine is her research interest domain. Nasim graduated in Computer Science (associate’s degree) and Computer Engineering-software (bachelor’s degree) from the Islamic Azad University of Tehran-Iran and she pursued her master's degree in International Business from the University of Wollongong. She was involved, in the development and implementation of more than 100 successful IS projects in different positions with different industries in Dubai, Iran, K.SA. She won the best paper award certified by the International Conference of Decision Science and Management (ICDSM2021-China). Also, her research work: “How Prescriptive Analytics Influences Decision Making in Precision Medicine” is nominated for the best research award by International Conference on Psychiatry and Mental Health; Pensic.