Even though the issue of Indigenous health has drawn more attention on a global scale, the information available about it is limited and scattered. The ability and desire of different nations to create information systems that track Indigenous health outcomes determines the quality of the information about Indigenous health. The quality of indigenous data is influenced by a variety of technological and social variables. Technical considerations include definitions of Indigenous people, the creation of methods for the collection, processing, and dissemination of Indigenous health data, and the incorporation of data items on Indigenous status within administrative data sets and health surveys. Social aspects include the institutions' and individuals' desire to gather and compile health data to commit to strategies to ensure high-quality data on Indigenous health.
Title : The impact of AI on the future of public health and preventative healthcare
David John Wortley, International Society of Digital Medicine (ISDM), United Kingdom
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model to secure the human healthcare, wellness and biosafety through the view of public health, network-driven healthcare services and lifestyle management
Sergey Suchkov, National Center for Human Photosynthesis, Mexico
Title : Managing integration and interoperability of intelligent and ethical transformed health and social care ecosystems
Habil Bernd Blobel, University of Regensburg, Germany
Title : Study scalp electroacupuncture therapy for autism spectrum disorder
Zhenhuan Liu, University of Chinese Medicine, China
Title : Environmental Public Health Impact Assessment (EHIA) process for tobacco processing plants
Vijayan Gurumurthy Iyer, Techno-Economic- Environmental Study and Check Consultancy Services, India
Title : Therapeutic potential of Benincasa hispida extract in regulating metabolic markers among patients with type 2 diabetes
Wan Rosli Wan Ishak , University Science Malaysia, Malaysia