Page 32 - Genomic Medicine in Emerging Economies
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Overcoming Barriers to Implementing Genomic Medicine in Developing Countries     21




           measures will become increasingly important in public health programs that
           seek to maximize benefit while minimizing adverse effects and providing cost-
           effective  services  (Burton  et  al.,  2014).  To  achieve  all  of  this,  genomic  and
           clinical data need to be integrated in a way that will allow swift and efficient
           translation of laboratory discoveries to the clinic. It is necessary for all health
           care professionals to be trained on specific core competencies regarding knowl-
           edge, skills, and attitudes in order to effectively implement genomic medi-
           cine at different levels of healthcare delivery. In this regard, new professional
           practice guidelines also need to be developed (De Abrew et  al.,  2014; Korf
           et al., 2014; Manolio et al., 2015). Moreover, developing countries would need
           to look broadly at taking the necessary steps to build a health care workforce
           that is adequately trained to use genomic information in their professional
           practice (De Abrew et al., 2014).
           Education of health professionals to assess potential benefits and risks (includ-
           ing ethical issues) of the adequate utilization of genetic/genomic technolo-
           gies in health care is also vital. As genomic sequencing is increasingly used in
           research with the anticipation of informing clinical health care options, a new
           set of decisions and dilemmas face both participants and researchers. These
           include how health care providers interpret and communicate results, and the
           ongoing need for the counseling and education of those receiving such results
           (Cohn et al., 2015). Developing a framework to build capacity among health-
           care professionals for the use of genomics to address the health needs of the
           public for disease prediction, prevention, and treatment is urgently needed
           (De Abrew et al., 2014).
           One solution would be to create a resource network to connect regional experts
           and related resources to researchers and data scientists in need. Online edu-
           cational/training resources as well as the opportunity to connect with experts
           for specific research advice, knowledge transfer, collaborative problem-solving,
           and capacity building could well serve both researchers in training as well as
           translational researchers. Such networks can further benefit researchers and cli-
           nicians in resource-constrained settings by connecting to existing global initia-
           tives designed to share approaches and lessons learned toward accelerating the
           implementation of genomic medicine worldwide. Examples include the Pan-
           Asia Pacific Genome Initiative, the Global Organization for Bioinformatics
           Learning, Education and Training, the Asia-Pacific Bioinformatics Network,
           and various centers for global health around the world (Isaacson Barash, 2016;
           Manolio et al., 2015).
           Patient activation is defined as the skills and confidence that equip patients to
           become actively engaged in their own health care. Low activation is associated
           with unhealthy behavior, poorer outcomes, and higher costs (Fluegge, 2016).
           An important component necessary for the success of genomic medicine is
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