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Kathryn Phillips Professor of Health Economics and Health Services Research at the University of California San Francisco and Founder/Director of the UCSF Center for Translational and Policy Research on Personalized Medicine TRANSPERS For more information visit www. ORDER BOOKS HERE QTY CALL credit cards 65 6508 2888 TITLE ISBN PRICE PER BOOK 3 FAX 65 67429356 EMAIL info tandf.com.sg sales enquiries only please do not include card details in your email. eBooks are only available to order...

How to fill out socio-economics of personalized medicine

How to fill out socio-economics of personalized medicine

1. Understand the purpose and goals of personalized medicine.
2. Gather information about the patient's medical history, including genetic information, current health status, and any previous treatments.
3. Consider the socio-economic factors that may influence the patient's access to personalized medicine, such as insurance coverage, affordability, and availability of specialized healthcare services.
4. Identify the specific socio-economic variables that are most relevant to the patient's personalized medicine treatment, such as income, education level, employment status, and geographic location.
5. Collect data on the costs and benefits associated with personalized medicine, including the potential for improved treatment outcomes, reduced healthcare expenses, and overall societal impact.
6. Analyze the collected data and evaluate the socio-economic impact of personalized medicine on both individual patients and larger populations.
7. Develop policies and strategies to address the socio-economic challenges identified, such as improving insurance coverage, reducing treatment costs, and enhancing accessibility to personalized medicine for disadvantaged populations.
8. Ensure proper implementation of socio-economic considerations in personalized medicine decision-making processes by healthcare professionals and policymakers.

Who needs socio-economics of personalized medicine?

1. Patients with complex medical conditions that would benefit from individualized treatment approaches.
2. Individuals with genetic predispositions to certain diseases or conditions who could benefit from personalized risk assessments and targeted prevention strategies.
3. Healthcare providers and policymakers seeking to optimize treatment outcomes and allocate healthcare resources more efficiently.
4. Pharmaceutical companies and researchers involved in developing personalized medicine therapies.
5. Insurance companies and payers interested in understanding the cost-effectiveness of personalized medicine interventions.
6. Public health organizations and agencies looking to address health disparities and promote equitable access to healthcare services.

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