Yearb Med Inform 2012; 21(01): 4-6
DOI: 10.1055/s-0038-1639423
Keynote
Georg Thieme Verlag KG Stuttgart

The True Meaning of Personalized Medicine

E. Coiera
1   Centre for Health Informatics, Australian Institute of Health Innovation, University of New South Wales, Australia
› Author Affiliations
This research is supported by NHMRC grants APP1032664 and 568612.
Further Information

Correspondence to

Enrico Coiera
Centre for Health Informatics
Australian Institute of Health Innovatio
University of New South Wales
Australia

Publication History

Publication Date:
10 March 2018 (online)

 

 


#
  • 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

Correspondence to

Enrico Coiera
Centre for Health Informatics
Australian Institute of Health Innovatio
University of New South Wales
Australia

  • 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