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HOSPITAL AUTHORITY CONVENTION 2016  Special Topics

                                    T17.1 Health IT  14:30  Theatre 2

                                    Personalised, Evidence-based, Outcome-driven Healthcare Empowered by IBM Cognitive Computing
                                    Technologies
                                    Xie GT
                                    Cognitive Healthcare, IBM Research – China, The People’s Republic of China

                                    Human society is facing challenges from diseases like cardiovascular, diabetes and oncologies etc. With the development of
                                    an aging society in Japan, Europe, US and even China, it brings a lot of pressure to health providers for better prevention and
                                    care quality/safety, to government for better management of the ever increasing medical expense, and to research institutes
                                    and life science companies to accelerate clinical research and its translation to healthcare practice. At the same time, human
                                    society is under a phenomenal transformation to digitise the entire world. In health domain, clinical data (EMRs, medical
                                    imaging), genomic data and exogenous data (environment, exercise, nutrition, sleep and employment etc.) are generated with
                                    the speed that human society has never been seen before. IBM Watson Health is using cognitive computing technoloiges
                                    to develop personalised, evidence-based and outcome driven healthcare solutions for patients, providers, life science
                                    companies and payers etc. In this presentation, many concrete case studies will be shared to show how IBM cognitive
                                    computing technologies are used to discover evidence about risk prediction models for disease prevention, patient similarity
                                    models for personalised care, and care pathway models for outcome-driven intervention. Eventually, all discovered evidence
                                    is delivered through cognitive decision advisor to providers for better care at the point of care, and to patients for better
                                    engagement and self management.

                                    T17.2 Health IT  14:30  Theatre 2

Wednesday, 4 May                    Innovation and Mobile Friendly Architecture for Hospital Authority
                                    Hui HL
                                    System Architecture Unit, Information Technology and Health Informatics Division, Hospital Authority, Hong Kong

                                    Like all industries, public healthcare business is facing a huge challenge of integrating innovative applications and
                                    technologies to deal with the demand from both workload and general public’s expectation. Innovations, mobile or internet-
                                    of-things (iOT) etc. would certainly require an agile environment where systems can be changed flexibly and frequently. At
                                    the same time, the usual extremely high reliability, availability and performance have to be maintained, if not improving. An
                                    architecture comprising people, process, technology and culture must be in place to make both wishes happen. Hospital
                                    Authority, being the largest public healthcare organisation in Hong Kong, is moving forward in the space of innovation,
                                    mobile, big data and iOT, therefore evolving to an adaptive architecture will be a crucial foundation to sustain a safe and
                                    effective journey on exploring innovative technologies.

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