CE  Vol.3 No.6 A , October 2012
Computer Science: The Third Pillar of Medical Education
ABSTRACT
In 2001, The Institute of Medicine (IOM) and the National Academy of Sciences (NAS) attributed substantial problems in the quality of American medicine to four domains: growing complexity of science and technology; the increase in chronic conditions; a poorly organized delivery system; and constraints on exploiting the revolution in information technology (IT). Although all of these domains have been improved by IT systems within the last decade, the U.S. health care systems has been slow to adopt these developments. We propose one way to combat such quality problems by incorporating a medicine-specific computer science (CS) curriculum as the third of Abraham Flexner’s pillars of medical education.

Cite this paper
Lau, F. , Katona, L. , Rosen, J. & Koop, C. (2012). Computer Science: The Third Pillar of Medical Education. Creative Education, 3, 807-810. doi: 10.4236/ce.2012.326120.
References
[1]   ACRO (2010). The CRO market. URL. http://www.acrohealth.org/61

[2]   Ali, J., Cohen R., Adam, R., Gana, T. J., Pierre, I., Ali E., Bedaysie, H. et al. (1996). Attrition of cognitive and trauma management skills after the Advanced Trauma Life Support (ATLS) course. Journal of Trauma and Acute Care Surgery,40, 860-866. doi:10.1097/00005373-199606000-00002

[3]   American Medical Association (2001). Guidelines for physician-patient electronic communications. URL. http://www.ama-assn.org/ama/pub/about-ama/our-people/member-groups-sections/young-physicians-section/advocacy-resources/guidelines-physician-patient-electronic-communications.shtml

[4]   Committee on Quality of Health Care in America (2001). Crossing the quality chasm: A new health system for the 21st century. Washington, DC: National Academies Press.

[5]   Bell, G., Hey, T., & Szalay, A. (2009). Computer science. Beyond the data deluge. Science, 323, 1297-1298. doi:10.1126/science.1170411

[6]   Brooks, R. G., & Menachemi, N. (2006). Physicians’ use of email with patients: Factors influencing electronic communication and adherence to best practices. Journal of Medical Internet Research, 8, e2. doi:10.2196/jmir.8.1.e2

[7]   Columbia University (2010). Columbia University announces new dual- degree Master’s program in journalism and computer science. URL. http://news.columbia.edu/oncampus/1980.

[8]   Dexter, P. R., Perkins, S. M., Maharry, K. S., Jones, K., & McDonald, C. J. (2004). Inpatient computer-based standing orders vs physician reminders to increase influenza and pneumococcal vaccination rates: A randomized trial. Journal of the American Medical Association, 292, 2366-2371. doi:10.1001/jama.292.19.2366

[9]   Eddy, D. M. & Schlessinger, L. (2003). Validation of the Archimedes diabetes model. Diabetes Care, 26, 3102-3110. doi:10.2337/diacare.26.11.3102

[10]   Flexner, A. (1910). Medical education in the United States and Canada. Boston, MA: The Merrymount Press.

[11]   Franklin, V. L., Waller, A., Pagliari, C., & Greene, S. A. (2006). A randomized controlled trial of Sweet Talk, a text-messaging system to support young people with diabetes. Diabetic Medicine, 23, 1332-1338. doi:10.1111/j.1464-5491.2006.01989.x

[12]   Girosi, F. (2005). Extrapolating evidence of health information technology savings and costs. Santa Monica, CA: RAND Corporation.

[13]   Grumbach, K. (1999). Primary care in the United States—The best of times, the worst of times. New England Journal of Medicine, 341, 2008-2010. doi:10.1056/NEJM199912233412611

[14]   Hagist, C., & Kotlikoff, L. J. (2006). Health care spending: What the future will look like. Dallas, TX: National Center for Policy Analysis, Boston University, National Bureau of Economic Research.

[15]   Issenberg, S. B., McGaghie, W. C., Petrusa, E. R., Lee, G. D., & Scalese, R. J. (2005). Features and uses of high-fidelity medical simulations that lead to effective learning: A BEME systematic review. Medical Teacher, 27, 10-28. doi:10.1080/01421590500046924

[16]   Jha, A. K., Burke, M. F., DesRoches, C. M., Joshi, M. S., Kralovec, P. D., Campbell, E. G., & Buntin, M. B. (2011). Progress toward meaningful use: hospitals’ adoption of electronic health records. American Journal of Managing Care, 17, 117-124.

[17]   Kaushal, R., Bates, D. W., Jenter, C. A., Mills, S. A., Volk, L. A., Burdick, E. et al. (2009). Imminent adopters of electronic health records in ambulatory care. Informatics in Primary Care, 17, 7-15.

[18]   Koop, C. E., Mosher, R., Kun, L., Geiling, J., Grigg, E., Long, S. et al. (2008). Future delivery of health care: Cybercare. IEEE Engineering in Medicine and Biology Magazine, 27, 29-38. doi:10.1109/MEMB.2008.929888

[19]   Kucher, N., Koo, S., Quiroz, R., Cooper, J. M., Paterno, M. D., Soukonnikov, B., & Goldhaber, S. Z. (2005). Electronic alerts to prevent venous thromboembolism among hospitalized patients. New England Journal of Medicine, 352, 969-977. doi:10.1056/NEJMoa041533

[20]   Litzelman, D. K., Dittus, R. S., Miller, M. E., & Tierney, W. M. (1993). Requiring physicians to respond to computerized reminders improves their compliance with preventive care protocols. Journal of General Internal Medicine, 8, 311-317. doi:10.1007/BF02600144

[21]   Miller, R. H., & Sim, I. (2004). Physicians’ use of electronic medical records: Barriers and solutions. Health Affairs (Millwood), 23, 116- 126. doi:10.1377/hlthaff.23.2.116

[22]   Miloh, T., Annunziato, R., Arnon, R., Warshaw, J., Parkar, S., Suchy, F. et al. (2009). Improved adherence and outcomes for pediatric liver transplant recipients by using text messaging. Pediatrics, 124, e844- e850. doi:10.1542/peds.2009-0415

[23]   Moore, G., & Showstack, J. (2003). Primary care medicine in crisis: Toward reconstruction and renewal. Annals of Internal Medicine, 138, 244-247.

[24]   Ormrod, J. E. (1999). Human learning (3rd ed.). Upper Saddle River, NJ: Merrill Prentice Hall.

[25]   Pizzi, L. T., Suh, D., Barone, J., & Nash, D. B. (2005). Factors related to physicians’ adoption of electronic prescribing: Results from a national survey. American Journal of Medical Quality, 20, 22-32. doi:10.1177/1062860604273775

[26]   Raychaudhuri, S., Thomson, B. P., Remmers, E. F., Eyre, S., Hinks, A., Guiducci, C. et al. (2009). Genetic variants at CD28, PRDM1 and CD2/CD58 are associated with rheumatoid arthritis risk. Nature Genetics, 41, 1313-1318. doi:10.1038/ng.479

[27]   Sharma, P., Xie, Y., Hseih, P., Hseih, W., & Yoo, S. (2008). Student learning outcomes in technology-enhanced constructivist learning environments: What does research show? In M. Orey, V. J. McClendon, & R. M. Branch (Eds.), Educational media and technology yearbook 2008 (pp. 77-90). Westwood, CT: Greenwood Publishing Group, Inc.

[28]   Truffer, C. J., Keehan, S., Smith, S., Cylus, J., Sisko, A., Poisal, J. A. et al. (2010). Health spending projections through 2019: The recession’s impact continues. Health Affairs (Millwood), 29, 522-529. doi:10.1377/hlthaff.2009.1074

 
 
Top