The True Meaning of Personalized Medicine

• References

• 1 Ruano G. Quo vadis personalized medicine?. Per Med 2004; 01 (01) 1-7.
• 2 Burke W, Psaty BM. Personalized Medicine in the Era of Genomics. JAMA October 10 2007; 298 (14) 1682-4.
• 3 Hunink MGM. Decision making in health and medicine: integrating evidence and values. Vol 1: Cambridge Univ Pr; 2001
• 4 Patil RS, Szolovits P, Schwartz WB. Modeling knowledge of the patient in acid-base and electrolyte disorders. Artif IntellMed 1982; 191-226.
• 5 Harris E. Step-by-step algorithm for computing critical range of next observation based on previous time series. Clin Chem 1977; 23 (11) 2179-80.
• 6 Jiang X, Boxwala AA, El-Kareh R, Kim J, Ohno-Machado L. A patient-driven adaptive prediction technique to improve personalized risk estimation for clinical decision support. J Am Med Inform Assoc. April 4, 2012
• 7 McGlynn EA, Asch SM, Adams J, Keesey J, Hicks J, DeCristofaro A. The quality of health care delivered to adults in the United States. N Engl J Med 2003; 348 (26) 2635-45.
• 8 Fultz SL, Skanderson M, Mole LA, Gandhi N, Bryant K, Crystal S. et al. Development and Verification of a “Virtual” Cohort Using the National VA Health Information System. Med Care 2006; 44 (08) S25-S30. 10.1097/1001.mlr.0000223670.0000200890.0000223674.
• 9 Guyatt GH, Keller JL, Jaeschke R, Rosenbloom D, Adachi JD, Newhouse MT. The n-of-1 randomized controlled trial: clinical usefulness. Ann Intern Med 1990; 112 (04) 293-9.
• 10 Kahn MG, Fagan LM, Shortliffe EH. Context-specific interpretation of patient records for a therapy advice system. Medinfo 1986; 86: 175-9.
• 11 Murphy SN, Weber G, Mendis M, Gainer V, Chueh HC, Churchill S. et al. Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). J Am Med Inform Assoc 2010; 17 (02) 124-30.
• 12 Catchpole KR, de Leval MR, McEwan A, Pigott N, Elliott MJ, McQuillan A. et al. Patient handover from surgery to intensive care: using Formula 1 pit stop and aviation models to improve safety and quality. Pediatr Anesth 2007; 17 (05) 470-8.
• 13 Shiell A, Hawe P, Gold L. Complex interventions or complex systems? Implications for health economic evaluation. BMJ 2008; 336 (7656): 1281-3.
• 14 Sintchenko VS, Coiera E. Which clinical decisions benefit from automation? A task complexity approach. Int J Med Inform 2003; 70: 309-16.
• 15 Coiera E. When conversation is better than computation. J Am Med Inform Assoc 2000; 07 (03) 277-86.
• 16 Coiera E. Mediated agent interaction. In: Quaglini BaA. ed. 8th Conference on Artificial Intelligence in Medicine. Berlin: Springer Lecture Notes in Artificial Intelligence; No. 2101; 2001
• 17 Lau A, Siek K, Fernandez-Luque L. et al. The Role of Social Media for Patients and Consumer Health. Yearb Med Inform 2011; 06 (01) 131-8.
• 18 Eysenbach G. Medicine 2.0: social networking, collaboration, participation, apomediation, and openness. J Med Internet Res. 2008 10. (3)
• 19 Thaler R. Toward a positive theory of consumer choice. J Econ Behav Organ 1980; 01 (01) 39-60.
• 20 Redelmeier DA, Rozin P, Kahneman D. Understanding Patients’ Decisions. JAMA 1993; 270 (01) 72-6.
• 21 Lau AYS, Coiera EW. Do People Experience Cognitive Biases while Searching for Information?. J Am Med Inform Assoc 2007; 14 (05) 599-608.
• 22 Lau AYS, Coiera EW. Can Cognitive Biases during Consumer Health Information Searches Be Reduced to Improve Decision Making?. J Am Med Inform Assoc 2009; 16 (01) 54-65.
• 23 Tu SW, Kahn MG, Musen MA, Fagan L, Ferguson JC. Episodic skeletal-plan refinement based on temporal data. Commun ACM 1989; 32 (12) 1439-55.
• 24 Glasspool D, Fox J, Castillo F, Monaghan V. Interactive decision support for medical planning. Artif Intell Med 2003; 335-9.
• 25 Glasspool DW, Fox J. REACT—a decision-support system for medical planning. Paper presented at: Proc AMIA Symp. 2001