[vc_row][vc_column brando_token_class=”brando_column_1572836749-2-21″ alignment_setting=”1″ desktop_alignment=”text-right” desktop_mini_alignment=”md-text-right” ipad_alignment=”sm-text-right” mobile_alignment=”xs-text-right” width=”1/2″][brando_simple_image brando_token_class=”brando_image_1579046848-2-63″ brando_image_srcset=”brando-medium-thumb” brando_image=”1618″][/vc_column][vc_column brando_token_class=”brando_column_1572836831-2-32″ position_relative=”1″ width=”1/2″][brando_section_heading brando_token_class=”brando_heading_1572833922-2-68″ brando_heading_type=”heading-style1″ heading_preview_image=”heading-style1″ brando_text_color=”custom” brando_heading=”Andy Ta, Director, Data aNalytics & AI (DNA) & Chief Data Officer, Synapxe Pte. Ltd.” brando_heading_text_color=”#ad0000″][vc_column_text brando_token_class=”brando_text_1572833965-2-6″ class=”text-large”]
Andy is responsible for the visioning, planning and implementation of system-wide and institution-level data, analytical & AI capabilities/ programmes across the care continuum for effective enablement of analytics and data science across public health organisations in alignment to Ministry of Health’s Healthcare Masterplan.
Andy’s efforts include building a strong AI & data science community in healthcare, encouraging collaborations among public health institutions to implement innovative or transformative approaches to healthcare services, patient care delivery and population health through use of big data and advanced analytics.
Andy has published six papers, including “Development and Implementation of Nationwide Predictive Model for Admission Prevention” paper publication by IEEE Engineering in Medicine and Biology Society (EMBS) in March 2018.
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