BIO Asia–Taiwan 2022 亞洲生技大會

BIO Asia–Taiwan 2022 亞洲生技大會

TEACHER

Sylvia Wong

Session 10 – AI & Digital Health

Date:28 July (Thursday)
Time:  15:40 – 17:10 (GMT+8)

Sylvia Wong

Customer Success Manager
Roche Diagnostics

Sylvia Wong has worked in healthcare in the areas of hospital management, academic teaching and healthcare consulting for more than 20 years. She is the Customer Success Manager of Roche Diagnostics, which develops and integrates diagnostic solutions that address the challenges of today and anticipate the needs of tomorrow, and has contributed to the development of Clinical Decision Support (CDS) solutions in the APAC region. As part of the global commercialization team of digital business, Sylvia has worked hard to tailor strategies for a successful business model of clinically related solutions, design engagement plan to realize customer wishes.      

Speech title & Synopsis

Data insights: Along the patient journey

Utilizing information technology in the healthcare industry has a long history. It began with simple digitization of patient health data to alleviate storage challenges and gradually developed to expedite health information exchange to facilitate multi-disciplinary collaboration. In the past decade, the maturity of biotechnology has been growing rapidly. For example, Next Generation Sequencing (NGS) and, together with the broader adoption of Clinical Decision Support (CDS) solutions, the model of care delivery is transforming from disease-based to personalized, particularly in the oncology specialty.

Cancer is a complex disease. Patients having the same type of cancer may respond differently so mCODE™ has been created and is being supported by ASCO in collaboration with the MITRE Corporation to guarantee the data quality and serve as a guide for the whole care journey, from diagnosis, treatment planning to survivorship evaluation for oncology patients. Clinical data collected throughout the patient journey does not only support evidence-based oncology care but also lay the foundations for further analysis. In addition, these Real World Data (RWD) databases offer strong repository for the development of diagnostics technologies and therapeutic treatment, service evaluation, quality improvement and advancement of healthcare technology. By analyzing the characteristics of these populations, government and policy makers will be able to formulate strategic and forward-looking goals to address national-wide needs and concerns.