AMIA Informatics 2012 Year in Review
A compendium of notable publications and events in the field of biomedical informatics, November 2011 - October 2012
Daniel Masys, M.D.
Affiliate Professor
Biomedical and Health Informatics
University of Washington, Seattle

Page updated as of 5 November 2012

Presented here are the citations and events discussed at the Year in Review session at the AMIA Symposium, Tuesday November 6, 2012.
Candidate new literature in Clinical Informatics
Topic Areas
Computerized Clinical Decision Support

For Providers

Cardiovascular diseases

  1. Levine DA, et. al, Improving care after myocardial infarction using a 2-year internet-delivered intervention: the Department of Veterans Affairs myocardial infarction-plus cluster-randomized trial. Arch Intern Med. 2011 Nov 28;171(21):1910-7.
Diabetes and glycemic control
  1. Foy R, et. al, A cluster randomised trial of educational messages to improve the primary care of diabetes. Implement Sci. 2011 Dec 16;6:129.
Medication management
  1. McKibbon KA, et. al, The effectiveness of integrated health information technologies across the phases of medication management: a systematic review of randomized controlled trials. J Am Med Inform Assoc. 2012 Jan-Feb;19(1):22-30. Epub 2011 Aug 18.
  2. Cox ZL, et. al, Effects of clinical decision support on initial dosing and monitoring of tobramycin and amikacin. Am J Health Syst Pharm. 2011 Apr 1;68(7):624-32.
  3. Harbig P, et. al, Instantaneous detection of nonadherence: quality, strength, and weakness of an electronic prescription database. Pharmacoepidemiol Drug Saf. 2012 Mar;21(3):323-8. doi: 10.1002/pds.2351. Epub 2012 Jan 4.
  4. Dehlendorf C, et. al, A study of physician recommendations for reversible contraceptive methods using standardized patients. Perspect Sex Reprod Health. 2011 Dec;43(4):224-9. doi: 10.1363/4322411.
  5. Tamblyn R, et. al, The effectiveness of a new generation of computerized drug alerts in reducing the risk of injury from drug side effects: a cluster randomized trial. J Am Med Inform Assoc. 2012 Jul-Aug;19(4):635-43. Epub 2012 Jan 12.
Psychiatric and behavioral health
  1. Woltmann EM, et. al, Trial of an electronic decision support system to facilitate shared decision making in community mental health. Psychiatr Serv. 2011 Jan;62(1):54-60.
  2. Carroll AE, et. al, A randomized controlled trial of screening for maternal depression with a clinical decision support system. J Am Med Inform Assoc. 2012 Jun 28. [Epub ahead of print]
  1. Bright TJ, et. al, Effect of Clinical Decision-Support Systems: A Systematic Review. Ann Intern Med. 2012 Apr 23. [Epub ahead of print]
  2. Wright A, et. al, Improving completeness of electronic problem lists through clinical decision support: a randomized, controlled trial. J Am Med Inform Assoc. 2012 Jul-Aug;19(4):555-61. Epub 2012 Jan 3.
  3. Holmboe ES, et. al, Comparative trial of a web-based tool to improve the quality of care provided to older adults in residency clinics: modest success and a tough road ahead. Acad Med. 2012 May;87(5):627-34.
For Patients

Cardiovascular diseases

  1. Hess EP, et. al, The chest pain choice decision aid: a randomized trial. Circ Cardiovasc Qual Outcomes. 2012 May;5(3):251-9. Epub 2012 Apr 10.
Cancer detection and care
  1. Jacobsen PB, et. al, Effects of a brief multimedia psychoeducational intervention on the attitudes and interest of patients with cancer regarding clinical trial participation: a multicenter randomized controlled trial. J Clin Oncol. 2012 Jul 10;30(20):2516-21. Epub 2012 May 21.
Diabetes and glycemic control
  1. Foy R, et. al, A cluster randomised trial of educational messages to improve the primary care of diabetes. Implement Sci. 2011 Dec 16;6:129.
Infectious diseases
  1. Suh CA, et. al, Effectiveness and net cost of reminder/recall for adolescent immunizations. Pediatrics. 2012 Jun;129(6):e1437-45. Epub 2012 May 7.
  2. Dombkowski KJ, et. al, Seasonal influenza vaccination reminders for children with high-risk conditions: a registry-based randomized trial. Am J Prev Med. 2012 Jan;42(1):71-5.
  3. Lau AY, et. al, Impact of a web-based personally controlled health management system on influenza vaccination and health services utilization rates: a randomized controlled trial. J Am Med Inform Assoc. 2012 Sep-Oct;19(5):719-27. Epub 2012 May 12.
Medication management
  1. Vollmer WM, et. al, Use of health information technology to improve medication adherence. Am J Manag Care. 2011 Dec;17(12 Spec No.):SP79-87.
Psychiatric and behavioral health
  1. Subramaniam K, et. al, Computerized cognitive training restores neural activity within the reality monitoring network in schizophrenia. Neuron. 2012 Feb 23;73(4):842-53.
  2. Jernelov S, et. al, Efficacy of a behavioral self-help treatment with or without therapist guidance for co-morbid and primary insomnia--a randomized controlled trial. BMC Psychiatry. 2012 Jan 22;12:5.
  3. Simon D, et. al, Effectiveness of a web-based, individually tailored decision aid for depression or acute low back pain: a randomized controlled trial. Patient Educ Couns. 2012 Jun;87(3):360-8. Epub 2011 Dec 10.
Studies showing no statistically significant difference with CDSS intervention vs. alternatives

  1. Hooper MH, et. al, Randomized trial of automated, electronic monitoring to facilitate early detection of sepsis in the intensive care unit. Crit Care Med. 2012 Jul;40(7):2096-101.
  2. Manns B, et. al, A cluster randomized trial of an enhanced eGFR prompt in chronic kidney disease. Clin J Am Soc Nephrol. 2012 Apr;7(4):565-72. Epub 2012 Feb 16.
  3. Kripalani S, et. al, Effect of a pharmacist intervention on clinically important medication errors after hospital discharge: a randomized trial. Ann Intern Med. 2012 Jul 3;157(1):1-10.
  4. Walter FM, et. al, Effect of adding a diagnostic aid to best practice to manage suspicious pigmented lesions in primary care: randomised controlled trial. BMJ. 2012 Jul 4;345:e4110. doi: 10.1136/bmj.e4110.
  5. Boustani MA, et. al, Enhancing care for hospitalized older adults with cognitive impairment: a randomized controlled trial. J Gen Intern Med. 2012 May;27(5):561-7. doi: 10.1007/s11606-012-1994-8.
  6. Fricton J, et. al, The effect of electronic health records on the use of clinical care guidelines for patients with medically complex conditions. J Am Dent Assoc. 2011 Oct;142(10):1133-42.
  7. Wagner PJ, et. al, Personal health records and hypertension control: a randomized trial. J Am Med Inform Assoc. 2012 Jul-Aug;19(4):626-34. Epub 2012 Jan 10.
  8. Schwarz EB, et. al, Clinical decision support to promote safe prescribing to women of reproductive age: a cluster-randomized trial. J Gen Intern Med. 2012 Jul;27(7):831-8. doi: 10.1007/s11606-012-1991-y.
Unintended Effects of Clinical Systems

  1. Singh H, et. al, Creating an oversight infrastructure for electronic health record-related patient safety hazards. J Patient Saf. 2011 Dec;7(4):169-74. doi: 10.1097/PTS.0b013e31823d8df0.
  2. Adelman JS, et. al, Understanding and preventing wrong-patient electronic orders: a randomized controlled trial. J Am Med Inform Assoc. 2012 Jun 29. [Epub ahead of print]
  3. Murphy DR, et. al, Notifications received by primary care practitioners in electronic health records: a taxonomy and time analysis. Am J Med. 2012 Feb;125(2):209.e1-7.
  4. Phansalkar S, et. al, Drug-drug interactions that should be non-interruptive in order to reduce alert fatigue in electronic health records. J Am Med Inform Assoc. 2012 Sep 25. [Epub ahead of print]
  5. Embi PJ, et. al, Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study. J Am Med Inform Assoc. 2012 Jun 1;19(e1):e145-e148. Epub 2012 Apr 25.


Cardiovascular diseases
  1. Landolina M, et. al, Remote monitoring reduces healthcare use and improves quality of care in heart failure patients with implantable defibrillators: the evolution of management strategies of heart failure patients with implantable defibrillators (EVOLVO) study. Circulation. 2012 Jun 19;125(24):2985-92. Epub 2012 May 24.
  2. Mabo P, et. al, A randomized trial of long-term remote monitoring of pacemaker recipients (the COMPAS trial). Eur Heart J. 2012 May;33(9):1105-11. Epub 2011 Nov 29.
  3. Logan AG, et. al, Effect of home blood pressure telemonitoring with self-care support on uncontrolled systolic hypertension in diabetics. Hypertension. 2012 Jul;60(1):51-7. Epub 2012 May 21.
  4. Demaerschalk BM, et. al, Efficacy of telemedicine for stroke: pooled analysis of the Stroke Team Remote Evaluation Using a Digital Observation Camera (STRokE DOC) and STRokE DOC Arizona telestroke trials. Telemed J E Health. 2012 Apr;18(3):230-7. Epub 2012 Mar 8.
  5. Gellis ZD, et. al, Outcomes of a telehealth intervention for homebound older adults with heart or chronic respiratory failure: a randomized controlled trial. Gerontologist. 2012 Aug;52(4):541-52. Epub 2012 Jan 11.
Diabetes and glycemic control
  1. Fischer HH, et. al, Nurse-run, telephone-based outreach to improve lipids in people with diabetes. Am J Manag Care. 2012 Feb;18(2):77-84.
  2. Ratanawongsa N, et. al, Primary care provider perceptions of the effectiveness of two self-management support programs for vulnerable patients with diabetes. J Diabetes Sci Technol. 2012 Jan 1;6(1):116-24.
Psychiatric and behavioral health
  1. Brenes GA, et. al, Telephone-delivered psychotherapy for late-life anxiety. Psychol Serv. 2012 May;9(2):219-20.
  2. Ruehlman LS, et. al, A randomized controlled evaluation of an online chronic pain self management program. Pain. 2012 Feb;153(2):319-30. Epub 2011 Nov 30.
  3. Chong J, et. al, Feasibility and acceptability of clinic-based telepsychiatry for low-income Hispanic primary care patients. Telemed J E Health. 2012 May;18(4):297-304. Epub 2012 Mar 16.
  4. Ruetsch C, et. al, The effect of telephonic patient support on treatment for opioid dependence: outcomes at one year follow-up. Addict Behav. 2012 May;37(5):686-9. Epub 2012 Jan 25.
  5. Preschl B, et. al, The working alliance in a randomized controlled trial comparing online with face-to-face cognitive-behavioral therapy for depression. BMC Psychiatry. 2011 Dec 6;11:189.
  6. Jacobi C, et. al, Effects of an Internet-based intervention for subthreshold eating disorders: a randomized controlled trial. Behav Res Ther. 2012 Feb;50(2):93-9. Epub 2011 Nov 15.
  7. Ertelt TW, et. al, Therapeutic factors affecting the cognitive behavioral treatment of bulimia nervosa via telemedicine versus face-to-face delivery. Int J Eat Disord. 2011 Dec;44(8):687-91. doi: 10.1002/eat.20874.
  8. Cunningham JA. Comparison of two internet-based interventions for problem drinkers: randomized controlled trial. J Med Internet Res. 2012 Aug 1;14(4):e107.
  9. Postel MG, et. al, Attrition in web-based treatment for problem drinkers. J Med Internet Res. 2011 Dec 27;13(4):e117.
  10. Farrer L, et. al, Web-based cognitive behavior therapy for depression with and without telephone tracking in a national helpline: secondary outcomes from a randomized controlled trial. J Med Internet Res. 2012 Jun 27;14(3):e68.
  11. van der Zanden R, et. al, Effectiveness of an online group course for depression in adolescents and young adults: a randomized trial. J Med Internet Res. 2012 Jun 7;14(3):e86.
  12. Collins CE, et. al, A 12-week commercial web-based weight-loss program for overweight and obese adults: randomized controlled trial comparing basic versus enhanced features. J Med Internet Res. 2012 Apr 25;14(2):e57.
  13. Elfeddali I, et. al, Preventing smoking relapse via Web-based computer-tailored feedback: a randomized controlled trial. J Med Internet Res. 2012 Aug 20;14(4):e109. doi: 10.2196/jmir.2057.
  14. Joseph AM, et. al, Chronic disease management for tobacco dependence: a randomized, controlled trial. Arch Intern Med. 2011 Nov 28;171(21):1894-900.
  1. Steventon A, et. al, Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial. BMJ. 2012 Jun 21;344:e3874. doi: 10.1136/bmj.e3874.
  2. Dinesen B, et. al, Using preventive home monitoring to reduce hospital admission rates and reduce costs: a case study of telehealth among chronic obstructive pulmonary disease patients. J Telemed Telecare. 2012;18(4):221-5. Epub 2012 May 31.
  3. Nijhof SL, et. al, Effectiveness of internet-based cognitive behavioural treatment for adolescents with chronic fatigue syndrome (FITNET): a randomised controlled trial. Lancet. 2012 Apr 14;379(9824):1412-8. Epub 2012 Mar 3.
  4. van Os-Medendorp H, et. al, E-health in caring for patients with atopic dermatitis: a randomized controlled cost-effectiveness study of internet-guided monitoring and online self-management training. Br J Dermatol. 2012 May;166(5):1060-8. doi: 10.1111/j.1365-2133.2012.10829.x.
  5. Gustafson D, et. al, The effects of combining Web-based eHealth with telephone nurse case management for pediatric asthma control: a randomized controlled trial. J Med Internet Res. 2012 Jul 26;14(4):e101.
  6. Yardley L, et. al, Evaluation of a Web-based intervention to promote hand hygiene: exploratory randomized controlled trial. J Med Internet Res. 2011 Dec 9;13(4):e107.
  7. Greaney ML, et. al, Use of email and telephone prompts to increase self-monitoring in a Web-based intervention: randomized controlled trial. J Med Internet Res. 2012 Jul 27;14(4):e96.
Telemedicine studies showing no statistically significant outcome vs. control

  1. Hansen AB, et. al, Internet-based brief personalized feedback intervention in a non-treatment-seeking population of adult heavy drinkers: a randomized controlled trial. J Med Internet Res. 2012 Jul 30;14(4):e98.
  2. van Genugten L, et. al, Results from an online computer-tailored weight management intervention for overweight adults: randomized controlled trial. J Med Internet Res. 2012 Mar 14;14(2):e44.
  3. Wangberg SC, et. al, Effect of tailoring in an internet-based intervention for smoking cessation: randomized controlled trial. J Med Internet Res. 2011 Dec 15;13(4):e121.
  4. Smit ES, et. al, Effectiveness of a Web-based multiple tailored smoking cessation program: a randomized controlled trial among Dutch adult smokers. J Med Internet Res. 2012 Jun 11;14(3):e82.
  5. Wang V, et. al, Economic evaluation of telephone self-management interventions for blood pressure control. Am Heart J. 2012 Jun;163(6):980-6. Epub 2012 May 21.
  6. Lynga P, et. al, Weight monitoring in patients with severe heart failure (WISH). A randomized controlled trial. Eur J Heart Fail. 2012 Apr;14(4):438-44. Epub 2012 Feb 26.
  7. Pekmezaris R, et. al, The impact of remote patient monitoring (telehealth) upon Medicare beneficiaries with heart failure. Telemed J E Health. 2012 Mar;18(2):101-8. Epub 2012 Jan 27.
  8. Ferguson J, et. al, Effect of offering different levels of support and free nicotine replacement therapy via an English national telephone quitline: randomised controlled trial. BMJ. 2012 Mar 23;344:e1696. doi: 10.1136/bmj.e1696.

Health Applications of Mobile Electronics: Cell phones, smart phones, iPods, etc.

For acquiring data from study participants

  1. Seto E, et. al, Mobile phone-based telemonitoring for heart failure management: a randomized controlled trial. J Med Internet Res. 2012 Feb 16;14(1):e31.
  2. Blasco A, et. al, Evaluation of a telemedicine service for the secondary prevention of coronary artery disease. J Cardiopulm Rehabil Prev. 2012 Jan-Feb;32(1):25-31.
  3. Bradley J, et. al, The feasibility of using mobile phone technology for sexual behaviour research in a population vulnerable to HIV: a prospective survey with female sex workers in South India. AIDS Care. 2012;24(6):695-703. Epub 2012 Jan 31.
  4. Barghouthi T, et. al, The use of a camera-enabled mobile phone to triage patients with nasal bone injuries. Telemed J E Health. 2012 Mar;18(2):150-2. Epub 2012 Jan 27.
  5. Heinonen R, et. al, Usability and feasibility of mobile phone diaries in an experimental physical exercise study. Telemed J E Health. 2012 Mar;18(2):115-9. Epub 2012 Jan 27.
  6. Macedo LG, et. al, Feasibility of using short message service to collect pain outcomes in a low back pain clinical trial. Spine (Phila Pa 1976). 2012 Jun 1;37(13):1151-5.
  7. Ryan D, et. al, Clinical and cost effectiveness of mobile phone supported self monitoring of asthma: multicentre randomised controlled trial. BMJ. 2012 Mar 23;344:e1756. doi: 10.1136/bmj.e1756.
For delivering treatment and or prevention interventions
  1. Spring B, et. al, Multiple behavior changes in diet and activity: a randomized controlled trial using mobile technology. Arch Intern Med. 2012 May 28;172(10):789-96.
  2. Stockwell MS, et. al, Effect of a text messaging intervention on influenza vaccination in an urban, low-income pediatric and adolescent population: a randomized controlled trial. JAMA. 2012 Apr 25;307(16):1702-8.
  3. Stockwell MS, et. al, Text4Health: impact of text message reminder-recalls for pediatric and adolescent immunizations. Am J Public Health. 2012 Feb;102(2):e15-21. Epub 2011 Dec 15.
  4. Kunawararak P, et. al, Tuberculosis treatment with mobile-phone medication reminders in northern Thailand. Southeast Asian J Trop Med Public Health. 2011 Nov;42(6):1444-51.
  5. da Costa TM, et. al, Results of a randomized controlled trial to assess the effects of a mobile SMS-based intervention on treatment adherence in HIV/AIDS-infected Brazilian women and impressions and satisfaction with respect to incoming messages. Int J Med Inform. 2012 Apr;81(4):257-69. Epub 2012 Jan 31.
  6. Prasad S, et. al, Use of mobile telephone short message service as a reminder: the effect on patient attendance. Int Dent J. 2012 Feb;62(1):21-6. doi: 10.1111/j.1875-595X.2011.00081.x.
  7. Soureti A, et. al, Exploratory study of web-based planning and mobile text reminders in an overweight population. J Med Internet Res. 2011 Dec 20;13(4):e118.
  8. de Tolly K, et. al, Investigation into the use of short message services to expand uptake of human immunodeficiency virus testing, and whether content and dosage have impact. Telemed J E Health. 2012 Jan-Feb;18(1):18-23. Epub 2011 Dec 8.
  9. Castano PM, et. al, Effect of daily text messages on oral contraceptive continuation: a randomized controlled trial. Obstet Gynecol. 2012 Jan;119(1):14-20.
  10. Thornton JD, et. al, Effect of an iPod video intervention on consent to donate organs: a randomized trial. Ann Intern Med. 2012 Apr 3;156(7):483-90.
  11. Kauer SD, et. al, Self-monitoring using mobile phones in the early stages of adolescent depression: randomized controlled trial. J Med Internet Res. 2012 Jun 25;14(3):e67.

The Practice of Informatics

New methods and their results, position papers and reviews
  1. Srinivasan K, et. al, Efficacy of a remote based computerised visual acuity measurement. Br J Ophthalmol. 2012 Jul;96(7):987-90. Epub 2012 Apr 26.
  2. Ringel F, et. al, Accuracy of robot-assisted placement of lumbar and sacral pedicle screws: a prospective randomized comparison to conventional freehand screw implantation. Spine (Phila Pa 1976). 2012 Apr 15;37(8):E496-501.
  3. Buller DB, et. al, Supporting tobacco control: stimulating local newspaper coverage with a technical assistance website for local coalitions. Health Promot Pract. 2011 Nov;12(6 Suppl 2):186S-94S.
  4. Xie B. Effects of an eHealth literacy intervention for older adults. J Med Internet Res. 2011 Nov 3;13(4):e90.
  5. Sommers BD, et. al, An educational intervention to improve cost-effective care among medicine housestaff: a randomized controlled trial. Acad Med. 2012 Jun;87(6):719-28.
  6. Hripcsak G, et. al, Next-generation phenotyping of electronic health records. J Am Med Inform Assoc. 2012 Sep 30.
  7. Sittig DF, et. al, Rights and responsibilities of users of electronic health records. CMAJ. 2012 Sep 18;184(13):1479-83. Epub 2012 Feb 13.
  8. Kern LM, et. al, Electronic Health Records and Ambulatory Quality of Care. J Gen Intern Med. 2012 Oct 3.
  9. Kulikowski CA, et. al, AMIA Board white paper: definition of biomedical informatics and specification of core competencies for graduate education in the discipline. J Am Med Inform Assoc. 2012 Nov 1;19(6):931-8. doi: 10.1136/amiajnl-2012-001053. Epub 2012 Jun 8.
  10. Eysenbach G. Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact. J Med Internet Res. 2011 Dec 19;13(4):e123.
  11. Jones RB, et. al, Accuracy of geographically targeted internet advertisements on google adwords for recruitment in a randomized trial. J Med Internet Res. 2012 Jun 20;14(3):e84.
  12. Dunn AG, et. al, Learning from hackers: open-source clinical trials. Sci Transl Med. 2012 May 2;4(132):132cm5. doi:
  13. Eysenbach G, et. al, CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res. 2011 Dec 31;13(4):e126.
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Candidate new literature in Bioinformatics
Topic Areas
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Clinical Bioinformatics of human health and disease

Cardiovascular Diseases

  1. Shah AA, et. al, Metabolic profiles predict adverse events after coronary artery bypass grafting. J Thorac Cardiovasc Surg. 2012 Apr;143(4):873-8. Epub 2012 Feb 4.
  2. Movassagh M, et. al, Distinct epigenomic features in end-stage failing human hearts. Circulation. 2011 Nov 29;124(22):2411-22. Epub 2011 Oct 24.
  3. Kourliouros A, et. al, Substrate modifications precede the development of atrial fibrillation after cardiac surgery: a proteomic study. Ann Thorac Surg. 2011 Jul;92(1):104-10.
  1. Singh D, et. al, Transforming fusions of FGFR and TACC genes in human glioblastoma. Science. 2012 Sep 7;337(6099):1231-5. doi: 10.1126/science.1220834. Epub 2012 Jul 26.
  2. Cancer Genome Atlas Network. Comprehensive molecular portraits of human breast tumours. Nature. 2012 Oct 4;490(7418):61-70. doi: 10.1038/nature11412. Epub 2012 Sep
Infectious Diseases
  1. Lakshmanan V, et. al, Metabolomic analysis of patient plasma yields evidence of plant-like linolenic acid metabolism in Plasmodium falciparum. J Infect Dis. 2012 Jul 15;206(2):238-48. Epub 2012 May 7.
  2. Snitkin ES, et. al, Tracking a Hospital Outbreak of Carbapenem-Resistant Klebsiella pneumoniae with Whole-Genome Sequencing. Sci Transl Med. 2012 Aug 22;4(148):148ra116.
  1. Lin J, et. al, A bioinformatics approach to identify patients with symptomatic peanut allergy using peptide microarray immunoassay. J Allergy Clin Immunol. 2012 May;129(5):1321-1328.e5. Epub 2012 Mar 23.
  2. Fassbender A, et. al, Proteomics analysis of plasma for early diagnosis of endometriosis. Obstet Gynecol. 2012 Feb;119(2 Pt 1):276-85.
  3. Ringman JM, et. al, Proteomic changes in cerebrospinal fluid of presymptomatic and affected persons carrying familial Alzheimer disease mutations. Arch Neurol. 2012 Jan;69(1):96-104.
  4. Cami A, et. al, Predicting adverse drug events using pharmacological network models. Sci Transl Med. 2011 Dec 21;3(114):114ra127.

The practice of bioinformatics
  1. Zuk O, et. al, The mystery of missing heritability: Genetic interactions create phantom heritability. Proc Natl Acad Sci U S A. 2012 Jan 24;109(4):1193-8. Epub 2012 Jan 5.
  2. Greenbaum D, et. al, Genomics and privacy: implications of the new reality of closed data for the field. PLoS Comput Biol. 2011 Dec;7(12):e1002278. Epub 2011 Dec 1.
  3. Zhao XM, et. al, Prediction of drug combinations by integrating molecular and pharmacological data. PLoS Comput Biol. 2011 Dec;7(12):e1002323. Epub 2011 Dec 29.
  4. ENCODE Project Consortium, An integrated encyclopedia of DNA elements in the human genome. Nature. 2012 Sep 6;489(7414):57-74. doi: 10.1038/nature11247
  5. Agarwal S, et. al, BioNOT: a searchable database of biomedical negated sentences. BMC Bioinformatics. 2011 Oct 27;12:420.
  6. Chen R, et. al, Personal omics profiling reveals dynamic molecular and medical phenotypes. Cell. 2012 Mar 16;148(6):1293-307.
  7. Roberts NJ, et. al, The predictive capacity of personal genome sequencing. Sci Transl Med. 2012 May 9;4(133):133ra58. Epub 2012 Apr 2.
  8. Tatonetti NP, et. al, Data-driven prediction of drug effects and interactions. Sci Transl Med. 2012 Mar 14;4(125):125ra31.
  9. Domingos P. A Few Useful Things to Know About Machine Learning Comm ACM. 2012 Oct 55;10(79-87).
  10. Maojo V, et. al, Nanoinformatics: a new area of research in nanomedicine. Int J Nanomedicine. 2012;7:3867-90. Epub 2012 Jul 24.
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"Top Ten" Notable Events

10 - begins reporting results
  9 -  The concept of “junk DNA” is junked 
  8 -  Social Security Admin limits Death Index data
  7 -  caBIG ends quietly; replacement begins in a whisper
  6 -  Big data from humans arrives in the cloud
  5 -  Big data revolutionizes breast cancer classification
  4 -  First complete simulation of an organism
  3 -  IOM report on safety of health IT systems released
  2 - AMIA publishes Informatics Competencies guidelines
  1 - ONC releases Stage 2 Meaningful Use criteria

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Search methodology used to identify potentially high impact literature

Clinical informatics searching methods: 
  • Clinical trials that included > 100 patients or providers, and those which appear to have the potential for significant clinical impact, e.g. the carvedilol study)
  • Primary PubMed search string:  randomized controlled trial[ptyp] AND (telemedicine[mh] OR informatics[tiab] OR medical informatics[mh])
  • Secondary PubMed search string: randomized[ti] AND (telemedicine[mh] OR informatics[tiab] OR medical informatics[mh])
Computational biology searching methods:
  • Primary PubMed search string: computational biology[mh] NOT (review[pt] OR letter[pt] OR case reports[pt] OR editorial[pt])
  • Also (genomic[ti] OR genome[ti] OR bioinformatic*[ti]), limited to the core clinical journals.
  • Secondary PubMed search string: computational biology[mh] AND (letter[pt] OR editorial[pt])
  • To see which articles were generating more discussion, follow-up with consideration of key science blogs and news sites
Both clinical informatics and bioinformatics citations retrieved online are supplemented by a  call for nomination of high impact literature made by email to the American College of Medical Informatics fellows' list.

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Special Thanks to...
  • Russ Altman
  • David Bates
  • Enrico Coiera
  • Don Detmer
  • Judith Effken
  • Gunther Eysenbach
  • Mark Frisse
  • George Hripcsak
  • Betsy Humphreys

  • Bonnie Kaplan
  • Zak Kohane
  • David Lobach
  • Lucila Ohno-Machado
  • Dean Sittig
  • David States
  • Peter Tarczy-Hornoch
  • Mark Tuttle