Identifying Critical Changes in Adoption of Personalized Medicine (PM) in Healthcare Management

Among the emerging areas in health-care system, the implementation of Electronic Medical Record system and the discovery of Personalized Medicine are occupying top positions. While some of the personalized drugs have already been discovered, implementing this new medicare system requires a lot of changes in the traditional health-care system. This paper aims at identifying these critical changes required in the adoption of the Personalized Medicine system. A systemic attempt has been made to prepare a list of possible changes required for the adoption based on available literature. This research study shows that changes from reactive to efficient medical care, from trial and error to right treatment for right person at right time, from narrow mind-set to open mindedness, from open information of patients to secure information, from less emphasis on IT infrastructure to more emphasis on IT infrastructure are some of the significant changes that are necessary for implementing the revolutionary medicare system of personalized Medicine.

[1]  G. Ginsburg,et al.  Personalized medicine: revolutionizing drug discovery and patient care. , 2001, Trends in biotechnology.

[2]  James E. DiCarlo,et al.  RNA-Guided Human Genome Engineering via Cas9 , 2013, Science.

[3]  Gavin Andrews,et al.  Treating people you never see:internet-based treatment of the internalising mental disorders. , 2010, Australian health review : a publication of the Australian Hospital Association.

[4]  Jenna L. McCauley,et al.  Randomized controlled trial of an internet-based intervention using random-digit-dial recruitment: the Disaster Recovery Web project. , 2012, Contemporary clinical trials.

[5]  G. Eysenbach.  What is e-health? , 2001, Journal of Medical Internet Research.

[6]  D. Ahern,et al.  What Is eHealth (6): Perspectives on the Evolution of eHealth Research , 2006, Journal of medical Internet research.

[7]  Le Cong,et al.  Multiplex Genome Engineering Using CRISPR/Cas Systems , 2013, Science.

[8]  Subhas C. Misra,et al.  Critical Challenges for Adopting Personalized Medicine System in Healthcare Management: Perspectives of Clinicians and Patients , 2014, Int. J. E Health Medical Commun..

[9]  Hsin-Ginn Hwang,et al.  Key factors affecting healthcare professionals to adopt knowledge management: The case of infection control departments of Taiwanese hospitals , 2010, Expert Systems with Applications.

[10]  Ching-Yu Cheng,et al.  Personalized Medicine in Ophthalmology: From Pharmacogenetic Biomarkers to Therapeutic and Dosage Optimization , 2013, Journal of personalized medicine.

[11]  David C. Yen,et al.  Factors affecting cross-hospital exchange of Electronic Medical Records , 2009, Information & Management.

[12]  Hsin-Ginn Hwang,et al.  The Differing Privacy Concerns Regarding Exchanging Electronic Medical Records of Internet Users in Taiwan , 2012, Journal of Medical Systems.

[13]  K. Griffiths,et al.  Security Considerations for E-Mental Health Interventions , 2010, Journal of medical Internet research.

[14]  Hamid Bolouri.  Personal Genomics and Personalized Medicine , 2009 .

[15]  Harris H. Wang,et al.  Genome-scale engineering for systems and synthetic biology , 2013, Molecular systems biology.

[16]  Keith E. J. Tyo,et al.  Measuring Cation Dependent DNA Polymerase Fidelity Landscapes by Deep Sequencing , 2012, PloS one.

[17]  G Eysenbach,et al.  The role of e-health and consumer health informatics for evidence-based patient choice in the 21st century. , 2001, Clinics in dermatology.

[18]  Subhas C. Misra,et al.  Feasibility of Large Scale Implementation of Personalized Medicine in the Current Scenario , 2016, Int. J. E Health Medical Commun..

[19]  George M Church,et al.  How accurate can genetic predictions be? , 2012, BMC Genomics.

[20]  A. Jadad,et al.  What Is eHealth (3): A Systematic Review of Published Definitions , 2005, Journal of medical Internet research.