AMIA Informatics 2011 Year in Review
A compendium of notable publications and events in the field of biomedical informatics, November 2010 - October 2011
Daniel Masys, M.D.
Affiliate Professor
Biomedical and Health Informatics
University of Washington, Seattle

Presented here are the citations and events discussed at the Year in Review session at the AMIA Symposium, Tuesday October 25, 2011.
Candidate new literature in Clinical Informatics
Topic Areas
Computerized Clinical Decision Support

For Providers

Cardiovascular diseases

  1. Magid DJ, et. al, A multimodal blood pressure control intervention in 3 healthcare systems. Am J Manag Care. 2011 Apr;17(4):e96-103.
  2. Bosworth HB, et. al, Home blood pressure management and improved blood pressure control: results from a randomized controlled trial. Arch Intern Med. 2011 Jul 11;171(13):1173-80.
  3. Fitzgerald M, et. al, Trauma resuscitation errors and computer-assisted decision support. Arch Surg. 2011 Feb;146(2):218-25.
Cancer detection and care
  1. Imperiale TF et. al, Provider acceptance, safety, and effectiveness of a computer-based decision tool for colonoscopy preparation. Int J Med Inform. 2011 Oct;80(10):726-33.
  2. Cleeland CS, et. al, Automated symptom alerts reduce postoperative symptom severity after cancer surgery: a randomized controlled clinical trial. J Clin Oncol. 2011 Mar 10;29(8):994-1000. Epub 2011 Jan 31.
  3. Berry DL, et. al, Enhancing patient-provider communication with the electronic self-report assessment for cancer: a randomized trial. J Clin Oncol. 2011 Mar 10;29(8):1029-35. Epub 2011 Jan 31.
Diabetes and glycemic control
  1. Cebul RD et. al, Electronic health records and quality of diabetes care.  N Engl J Med. 2011 Sep 1;365(9):825-33.
  2. O'Connor PJ, et. al, Impact of electronic health record clinical decision support on diabetes care: a randomized trial. Ann Fam Med. 2011 Jan-Feb;9(1):12-21.
  3. Mann EA, et. al, Computer decision support software safely improves glycemic control in the burn intensive care unit: a randomized controlled clinical study. J Burn Care Res. 2011 Mar-Apr;32(2):246-55.
Infectious diseases
  1. Humiston SG, et. al, Increasing inner-city adult influenza vaccination rates: a randomized controlled trial. Public Health Rep. 2011 Jul-Aug;126 Suppl 2:39-47.
  2. Szilagyi PG, et. al, Effectiveness of a citywide patient immunization navigator program on improving adolescent immunizations and preventive care visit rates. Arch Pediatr Adolesc Med. 2011 Jun;165(6):547-53.
  3. Were MC, et. al, Evaluation of computer-generated reminders to improve CD4 laboratory monitoring in sub-Saharan Africa: a prospective comparative study. J Am Med Inform Assoc. 2011 Mar-Apr;18(2):150-5. Epub 2011 Jan 20.
Medication management
  1. Lapane KL, et. al, Effect of a pharmacist-led multicomponent intervention focusing on the medication monitoring phase to prevent potential adverse drug events in nursing homes. J Am Geriatr Soc. 2011 Jul;59(7):1238-45. doi: 10.1111/j.1532-5415.2011.03418.x. Epub 2011 Jun 7.
  2. Bhardwaja B, et. al, Improving prescribing safety in patients with renal insufficiency in the ambulatory setting: the Drug Renal Alert Pharmacy (DRAP) program. Pharmacotherapy. 2011 Apr;31(4):346-56.
  3. Terrell KM, et. al, Computerized Decision Support for Medication Dosing in Renal Insufficiency:  A Randomized,
    Controlled Trial
    . Annals of Emergency Medicine 2010;56:623-629. 
  4. Pambianco DJ, et. al, Computer-assisted personalized sedation for upper endoscopy and colonoscopy: a comparative, multicenter randomized study. Gastrointest Endosc. 2011 Apr;73(4):765-72. Epub 2010 Dec 18.
  5. Nanji KC et. al,  Errors associated with outpatient computerized prescribing systems. J Am Med Inform. Assoc. 2001 Jun 29.
Psychiatric conditions
  1. Lavigne JV, et. al, Computer-assisted management of attention-deficit/hyperactivity disorder. Pediatrics. 2011 Jul;128(1):e46-53. Epub 2011 Jun 13.
  1. Schnipper JL, et. al, Effects of documentation-based decision support on chronic disease management. A m J Manag Care. 2010 Dec;16(12 Suppl HIT):SP72-81.
  2. Dykes PC, et. al, Fall prevention in acute care hospitals: a randomized trial.  JAMA. 2010 Nov 3;304(17):1912-8.
  3. Seidling HM, et. al, Factors influencing alert acceptance: a novel approach for predicting the success of clinical decision support. J Am Med Inform Assoc. 2011 Jul-Aug; 18 (4): 479-84, Epub 2011 May 12.
Clinical Decision Support for Patients

Cancer detection and care
  1. Miller DP Jr, et. al, Effectiveness of a web-based colorectal cancer screening patient decision aid: a randomized controlled trial in a mixed-literacy population. A m J Prev Med. 2011 Jun;40(6):608-15.
  2. Hoffman RM, et. al, A system-based intervention to improve colorectal cancer screening uptake. Am J Manag Care. 2011 Jan;17(1):49-55.
  3. Leffler DA, et. al, An alerting system improves adherence to follow-up recommendations from colonoscopy examinations. Gastroenterology. 2011 Apr;140(4):1166-1173.e1-3. Epub 2011 Jan 13.
  4. Cameron KA, et. al, Patient outreach to promote colorectal cancer screening among patients with an expired order for colonoscopy: a randomized controlled trial. Arch Intern Med. 2011 Apr 11;171(7):642-6. Epub 2010 Dec 13.
Diabetes and glycemic control
  1. Lim S, et. al, Improved glycemic control without hypoglycemia in elderly diabetic patients using the ubiquitous healthcare service, a new medical information system. Diabetes Care. 2011 Feb;34(2):308-13.
  1. Montori VM, et. al, Use of a decision aid to improve treatment decisions in osteoporosis: the osteoporosis choice randomized trial. Am J Med. 2011 Jun;124(6):549-56.
  2. Mouttapa M, et. al, The Personal Nutrition Planner: a 5-week, computer-tailored intervention for women. J Nutr Educ Behav. 2011 May-Jun;43(3):165-72.
  3. Kelders SM, et. al, Effectiveness of a Web-based intervention aimed at healthy dietary and physical activity behavior: a randomized controlled trial about users and usage. J Med Internet Res. 2011 Apr 14;13(2):e32.
  4. Wright A, et al, Randomized Controlled Trial of Health Maintenance Reminders Provided Directly to Patients Through an Electronic PHR. J Gen Intern Med. 2011 Sep 9.
Studies showing no statistically significant difference with CDSS intervention vs. alternatives

  1. Nelson TM, et. al, Assessing the effectiveness of text messages as appointment reminders in a pediatric dental setting. J Am Dent Assoc. 2011 Apr;142(4):397-405.
  2. Eisenstein EL, et. al, Clinical and economic results from a randomized trial of clinical decision support in a rural health network. Stud Health Technol Inform. 2011;164:77-81.
  3. Linder JA, et. al, Electronic health record feedback to improve antibiotic prescribing for acute respiratory infections. Am J Manag Care. 2010 Dec;16(12 Suppl HIT):e311-9.
  4. Gill JM, et. al, Impact of EHR-based clinical decision support on adherence to guidelines for patients on NSAIDs: a randomized controlled trial. Ann Fam Med. 2011 Jan-Feb;9(1):22-30.
  5. Sequist TD, et. al, Electronic patient messages to promote colorectal cancer screening: a randomized controlled trial. Arch Intern Med. 2011 Apr 11;171(7):636-41. Epub 2010 Dec 13.
  6. Pellegrino VA, et. al, Computer based haemodynamic guidance system is effective and safe in management of postoperative cardiac surgery patients. Anaesth Intensive Care. 2011 Mar;39(2):191-201.
  7. Chung MH, et. al, A randomized controlled trial comparing the effects of counseling and alarm device on HAART adherence and virologic outcomes. P LoS Med. 2011 Mar;8(3):e1000422. Epub 2011 Mar 1.


Cardiovascular diseases

  1. Crossley GH, et. al, The CONNECT (Clinical Evaluation of Remote Notification to Reduce Time to Clinical Decision) trial: the value of wireless remote monitoring with automatic clinician alerts. J Am Coll Cardiol. 2011 Mar 8;57(10):1181-9. Epub 2011 Jan 20.
  2. Christensen H, et. al, Home management of oral anticoagulation via telemedicine versus conventional hospital-based treatment. Telemed J E Health. 2011 Apr;17(3):169-76. Epub 2011 Jan 23.
  3. Nolan RP, et. al, Therapeutic benefit of preventive telehealth counseling in the Community Outreach Heart Health and Risk Reduction Trial. Am J Cardiol. 2011 Mar 1;107(5):690-6. Epub 2011 Jan 6.
Cancer detection and care
  1. Johns SA, et. al, Telecare management of pain and depression in patients with cancer: patient satisfaction and predictors of use. J Ambul Care Manage. 2011 Apr-Jun;34(2):126-39.
Diabetes and glycemic control
  1. Wakefield BJ, et. al, Effectiveness of home telehealth in comorbid diabetes and hypertension: a randomized, controlled trial. Telemed J E Health. 2011 May;17(4):254-61. Epub 2011 Apr 10.
  2. Weinstock RS, et. al, Glycemic control and health disparities in older ethnically diverse underserved adults with diabetes: five-year results from the Informatics for Diabetes Education and Telemedicine (IDEATel) study. Diabetes Care. 2011 Feb;34(2):274-9.
  3. van Bastelaar KM, et. al, Web-based depression treatment for type 1 and type 2 diabetic patients: a randomized, controlled trial. Diabetes Care. 2011 Feb;34(2):320-5. Epub 2011 Jan 7.
Infectious diseases
  1. Pop-Eleches C, et. al, Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders. AIDS. 2011 Mar 27;25(6):825-34.
  2. Yardley L, et. al, Evaluation of a Web-based intervention providing tailored advice for self-management of minor respiratory symptoms: exploratory randomized controlled trial. J Med Internet Res. 2010 Dec 15;12(4):e66.
  Psychiatric conditions
  1. Warmerdam L, et. al, Cost-utility and cost-effectiveness of internet-based treatment for adults with depressive symptoms: randomized trial. J Med Internet Res. 2010 Dec 19;12(5):e53.
Sudies showing no statistically significant difference with Telemedicine intervention vs. alternatives
  1. Koehler F, et. al, Impact of remote telemedical management on mortality and hospitalizations in ambulatory patients with chronic heart failure: the telemedical interventional monitoring in heart failure study. Circulation. 2011 May 3;123(17):1873-80. Epub 2011 Mar 28.
  2. Konstam V, et. al, Health-related quality of life in a multicenter randomized controlled comparison of telephonic disease management and automated home monitoring in patients recently hospitalized with heart failure: SPAN-CHF II trial. J Card Fail. 2011 Feb;17(2):151-7.
  3. Madsen LB, et. al, Economic evaluation of home blood pressure telemonitoring: a randomized controlled trial. Blood Press. 2011 Apr;20(2):117-25. Epub 2010 Nov 24.
  4. Miller DM, et. al, Web-based self-management for patients with multiple sclerosis: a practical, randomized trial. Telemed J E Health. 2011 Jan-Feb;17(1):5-13. Epub 2011 Jan 9.

The Practice of Informatics

Issues related to EHR adoption
  1. Linder JA et. al,  Clinician characteristics and use of novel electronic health record functionality in primary care. J Am Med Inform Assoc. 2011 Sep 7.
  2. Wilcox AB, Chen YH, Hripcsak G. Minimizing electronic health record patient-note mismatches. J Am Med Inform Assoc. 2011 Jul-Aug;18(4):511-4. Epub 2011 Apr 12.
  3. Cebul RD et. al, Electronic health records and quality of diabetes care.  N Engl J Med. 2011 Sep 1;365(9):825-33.
  4. Adler-Milstein J, Bates DW, Jha AK.  A survey of health information exchange organizations in the United States: implications for meaningful use.  Ann Intern Med 2011;154(10):666-671.
  5. Sittig DF, Singh H.  Defining health information technology-related errors: new developments since to err is human. Arch Intern Med. 2011 Jul 25;171(14):1281-4.
  6. Goodman KW et. al, Challenges in ethics, safety, best practices, and oversight regarding HIT vendors, their customers, and patients: a report of an AMIA special task force. Journal of the American Medical Informatics Association 2011;18(1):77-81.
 New methods and their results
  1. Tatonetti, NP et. al, Detecting drug interactions from adverse-event reports: interaction between paroxetine and pravastatin increases blood glucose levels.  Clinical Pharmacology & Therapeutics, 90(1), 133–142. doi:10.1038/clpt.2011.83
  2. Holmes AB, et. al,  Discovering disease associations by integrating electronic clinical data and medical literature. PLoS One. 2011;6(6):e21132. Epub 2011 Jun 23.
  3. Jameson E, et. al, Electronic gaming as pain distraction. Pain Res Manag. 2011 Jan-Feb;16(1):27-32.
  4. Müller BH, et. al, One-session computer-based exposure treatment for spider-fearful individuals--efficacy of a minimal self-help intervention in a randomised controlled trial. J Behav Ther Exp Psychiatry. 2011 Jun;42(2):179-84. Epub 2010 Dec 14.
  5. Braithwaite SR, et. al, Computer-based dissemination: a randomized clinical trial of ePREP using the actor partner interdependence model. Behav Res Ther. 2011 Feb;49(2):126-31. Epub 2010 Nov 18.
  6. Gabriele JM, et. al, Directive and nondirective e-coach support for weight loss in overweight adults. Ann Behav Med. 2011 Apr;41(2):252-63.
Return to top

Candidate new literature in Bioinformatics
Topic Areas
Return to top

Human health and disease


  1. Tiacci E, et. al, BRAF mutations in hairy-cell leukemia. N Engl J Med. 2011 Jun 16;364(24):2305-15. Epub 2011 Jun 11.
  2. Pasqualucci L et al.  Analysis of the coding genome of diffuse large B-cell lymphoma. Nat Genet. 2011 Jul 31;43(9):830-7. doi: 10.1038/ng.892.
  3. Sung CO, et. al, Genomic profiling combined with gene expression profiling in primary central nervous system lymphoma. Blood. 2011 Jan 27;117(4):1291-300. Epub 2010 Nov 18.
  4. Chang HH, et. al, A transcriptional network signature characterizes lung cancer subtypes. Cancer. 2011 Jan 15;117(2):353-60. doi: 10.1002/cncr.25592. Epub 2010 Sep 13.
  5. Kamper P, et. al, Proteomic analysis identifies galectin-1 as a predictive biomarker for relapsed/refractory disease in classical Hodgkin lymphoma. Blood. 2011 Jun 16;117(24):6638-49. Epub 2011 Apr 19.
  6. Hatzis C, et. al, A genomic predictor of response and survival following taxane-anthracycline chemotherapy for invasive breast cancer. JAMA. 2011 May 11;305(18):1873-81.
  7. Stein RA, et. al, Epigenetics--the link between infectious diseases and cancer. JAMA. 2011 Apr 13;305(14):1484-5.
  1. Gilman SR et. al, Rare de novo variants associated wih autism implicate a large functional network of genes involved in formation and function of synapses. Neuron. 2011 Jun 9;70(5):898-907.
  2. Föcking M, et. al, Common proteomic changes in the hippocampus in schizophrenia and bipolar disorder and particular evidence for involvement of cornu ammonis regions 2 and 3. Arch Gen Psychiatry. 2011 May;68(5):477-88.
Infectious diseases
  1. Tang ST, et. al, Genome-based in silico identification of new Mycobacterium tuberculosis antigens activating polyfunctional CD8+ T cells in human tuberculosis. J Immunol. 2011 Jan 15;186(2):1068-80. Epub 2010 Dec 17.
Model systems for understanding biology
  1. Higgins JM, Mahadevan L.    Physiological and pathological population dynamics of circulating human red blood cells. Proc Natl Acad Sci U S A. 2010 Nov 23;107(47):20587-92.
  2. Cattoglio C, et. al, High-definition mapping of retroviral integration sites identifies active regulatory elements in human multipotent hematopoietic progenitors. Blood. 2010 Dec 16;116(25):5507-17. Epub 2010 Sep 23.
The practice of bioinformatics
  1. Altman RB, Pharmacogenomics: "noninferiority" is sufficient for initial implementation. Clin Pharmacol Ther. 2011 Mar;89(3):348-50.
  2. Vilar S, et. al, Facilitating adverse drug event detection in pharmacovigilance databases using molecular structure similarity: application to rhabdomyolysis. J Am Med Inform Assoc. 2011 Sep 21.
  3. Yandell M, et. al, A probabilistic disease-gene finder for personal genomes.  Genome Res. 2011 Sep;21(9):1529-42. Epub 2011 Jun 23.
Return to top

"Top Five" Notable Events

5. The human population of planet Earth reaches 7 billion.

4. December 2010.  Release of the PCAST Health IT report: Realizing the Full Potential of Health Information Technology to Improve Healthcare for Americans: The Path Forward

3. 175th Anniversary of the National LIbrary of Medicine

2. Meaningful Use incentive payments begin: May, 2011

1. Approval by American Board of Medical Specialties of subspecialty board certification in clinical informatics, September 2011.
Return to top

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.

Return to top