•  Anderson KL, Jr., Adam MA, Thomas S, Roman SA, Sosa JA. Impact of minimally invasive vs. open distal pancreatectomy on use of adjuvant chemoradiation for pancreatic adenocarcinoma. Am J Surg. 2017;213(4):601-5.

 

• Andrews SM, Sperber NR, Gierisch JM, Danus S, Macy SL, Bosworth HB, et al. Patient perceptions of a comprehensive telemedicine intervention to address persistent poorly controlled diabetes. Patient preference and adherence. 2017;11:469-78.

 

• Audibert C, Romine M, Caze A, Daniel G, Leff J, McClellan M. Building a drug development database: challenges in reliable data availability. Drug development and industrial pharmacy. 2017;43(1):74-8.

 

• Berkowitz CM, Zullig LL, Koontz BF, Smith SK. Prescribing an App? Oncology Providers’ Views on Mobile Health Apps for Cancer Care. JCO Clinical Cancer Informatics. 2017(1):1-7.

 

• Bloomfield RA, Polo-Wood F, Mandel JC and Mandl KD. Opening the Duke electronic health record to apps: Implementing SMART on FHIR.  International Journal of Medical Informatics.  2017; 99(n/a): 1-10.

 

• Buono EW, Vrijens B, Bosworth HB, Liu LZ, Zullig LL, Granger BB. Coming full circle in the measurement of medication adherence: opportunities and implications for health care. Patient Prefer Adherence. 2017;11:1009-16.

 

• Chang B, Kanagaraj M, Neely B, Segall N, Huang E. Triangulating Methodologies from Software, Medicine and Human Factors Industries to Measure Usability and Clinical Efficacy of Medication Data Visualization in an Electronic Health Record System. AMIA Joint Summits on Translational Science proceedings AMIA Joint Summits on Translational Science. 2017;2017:473-482.

 

• Corwin EJ, Moore SM, Plotsky A, Heitkemper MM, Dorsey SG, Waldrop-Valverde D, Bailey Jr. DE, Docherty SL, Whitney JD, Musil CM, Dougherty CM, McCloskey DJ, Austin JK and Grady PA.  Feasibility of Combining Common Data Elements Across Studies to Test a Hypothesis. J Nurs Scholarsh. 2017; 49(3): 249-258.

 

• Cowie MR, Blomster JI, Curtis LH, Duclaux S, Ford I, Fritz F, et al. Electronic health records to facilitate clinical research. Clinical research in cardiology : official journal of the German Cardiac Society. 2017;106(1):1-9.

 

• Cox CE, Jensen HI.  The unmet need of information access for family members of ICU patients. Intensive Care Medicine. 2017; 43(2):240-242.

 

• DeRienzo CM, Shaw RJ, Meanor P, Lada E, Ferranti J, Tanaka D. A discrete event simulation tool to support and predict hospital and clinic staffing. Health Inform J. 2017;23(2):124-33.

 

• Docherty SL, Vorderstrasse A, Brandon D, Johnson C. Visualization of Multidimensional Data in Nursing Science. Western journal of nursing research. 2017 Jan;39(1):112-26.

 

• Drozda JP, Jr., Roach J, Forsyth T, Helmering P, Dummitt B, Tcheng JE. Constructing the informatics and information technology foundations of a medical device evaluation system: a report from the FDA unique device identifier demonstration. Journal of the American Medical Informatics Association : JAMIA. 2017.

 

• Eisenstein EL, Nordo AH, Zozus MN. Using Medical Informatics to Improve Clinical Trial Operations. Studies in health technology and informatics. 2017;234:93-7.

 

• Eisenstein EL, Willis JM, Edwards R, Anstrom KJ, Kawamoto K, Fiol GD, Johnson FS, Lobach DF. Randomized Trial of Population-Based Clinical Decision Support to Facilitate Care Transitions. In: Lau F, BartleClar J, Bliss G, Borycki E, Courtney K, Kuo A, eds. Building Capacity for Health Informatics in the Future. Vol 234. 2017:98-103.

 

• Farber SH, Vissoci JR, Tran TM, Fuller AT, Butler EK, Andrade L, Staton C,…Haglund MM. Geospatial Analysis of Unmet Surgical Need in Uganda: An Analysis of SOSAS Survey Data. World J Surg. 2017;41(2):353-63.

 

• Funk LM, Shan Y, Voils CI, Kloke J, Hanrahan LP. Electronic Health Record Data Versus the National Health and Nutrition Examination Survey (NHANES): A Comparison of Overweight and Obesity Rates. Med Care. 2017;55(6):598-605.

 

• Goldstein BA, Navar AM, Pencina MJ, and Ioannidis JPA. Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review. Journal of the American Medical Informatics Association. 2017; 24(1): 198-208.

 

• Goldstein BA, Pencina MJ, Montez-Rath ME and Winkelmayer WC. Predicting mortality over different time horizons: which data elements are needed? Journal of the American Medical Informatics Association. 2017; 24(1): 176-181.

 

• Goldstein BA, Pomann GM, Winkelmayer WC, Pencina MJ. A comparison of risk prediction methods using repeated observations: an application to electronic health records for hemodialysis. Statistics in Medicine. 2017 Jan 1.

 

• Goode V, Crego N, Cary MP, Jr., Thornlow D, Merwin E. Improving Quality and Safety Through Use of Secondary Data: Methods Case Study. West J Nurs Res. 2017;39(11):1477-501.

 

• Gopalakrishna G, Langendam M, Scholten R,… Pencina M, et al. Methods for Evaluating Medical Tests and Biomarkers. Diagnostic and Prognostic Research. 2017 Feb 16;1(1):7.

 

• Hassanpour S, Langlotz CP, Amrhein TJ, Befera NT, Lungren MP. Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield. AJR American journal of roentgenology. 2017;208(4):750-3.

 

• Hickey KT, Katapodi MC, Coleman B, Reuter-Rice K, Starkweather AR. Improving Utilization of the Family History in the Electronic Health Record. Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing. 2017;49(1):80-6.

 

• Hinkson IV, Davidsen TM, Klemm JD, Chandramouliswaran I, Kerlavage AR, Kibbe WA. Corrigendum: A Comprehensive Infrastructure for Big Data in Cancer Research: Accelerating Cancer Research and Precision Medicine. Frontiers in cell and developmental biology. 2017;5:108.

 

• Hinkson IV, Davidsen TM, Klemm JD, Kerlavage AR, Kibbe WA. A Comprehensive Infrastructure for Big Data in Cancer Research: Accelerating Cancer Research and Precision Medicine. Frontiers in cell and developmental biology. 2017;5:83.

 

• Jiang Y, Ji YQ, Sibley AB, Li YJ, Allen AS. Leveraging population information in family-based rare variant association analyses of quantitative traits. Genetic Epidemiology. 2017; 41(2):98-107.

 

• Johnson CM, McIlwain S, Gray O, Willson B, Vorderstrasse A. Creating a sustainable collaborative consumer health application for chronic disease self-management. J Biomed Inform. 2017;71:198-206.

 

• Li Z, Moran P, Dong Q, Shaw RJ, Hauser K. Development of a Tele-Nursing Mobile Manipulator for Remote Care-giving in Quarantine Areas. InIEEE Int. Conf. Robotics and Automation 2017; 1-6.

 

• Maddox TM, Albert NM, Borden WB, Curtis LH, Ferguson TB, Kao DP, Marcus GM, Peterson ED, Redberg R, Rumsfeld JS, Shah ND, Tcheng JE. The Learning Healthcare System and Cardiovascular Care: A Scientific Statement From the American Heart Association. Circulation. 2017 Apr 4;135(14):e826-57.

 

• Marshall DA, Gonzalez JM, MacDonald KV, Johnson FR. Estimating Preferences for Complex Health Technologies: Lessons Learned and Implications for Personalized Medicine. Value Health. 2017;20(1):32-9.

 

• Matney SA, Settergren T, Carrington JM, Richesson RL, Sheide A, Westra BL. Standardizing Physiologic Assessment Data to Enable Big Data Analytics.  Western Journal of Nursing Research. 2017; 39(1):63-77. 

 

• Mentz RJ, Newby LK, Neely B, Lucas JE, Pokorney SD, Rao MP, Jackson LR, Grau-Sepulveda MV, Smerek MM, Barth P, Nelson CL, Pencina MJ, Shah BR. Assessment of administrative data to identify acute myocardial infarction in electronic health records. Journal of the American College of Cardiology. 2016 May 24;67(20):2441-2.

 

• Moisi MD, Hoang K, Tubbs RS, Page J, Fisahn C, Paulson D, et al. Advancement of Surgical Visualization Methods: Comparison Study Between Traditional Microscopic Surgery and a Novel Robotic Optoelectronic Visualization Tool for Spinal Surgery. World Neurosurg. 2017;98:273-7.

 

• Nordo AH, Eisenstein EL, Hawley J, Vadakkeveedu S, Pressley M, Pennock J, Sanderson I. A Comparative Effectiveness Study of eSource Used for Data Capture for a Clinical Research Registry. International Journal of Medical Informatics. 2017. 103:89-94.

 

• Padmanabhan K, Shpanskaya K, Bello G, Doraiswamy PM, Samatova NF. Toward Personalized Network Biomarkers in Alzheimer’s Disease: Computing Individualized Genomic and Protein Crosstalk Maps. Front Aging Neurosci. 2017;9.

 

• Paradis E, Gosselin T, Grunwald NJ, Jombart T, Manel S, Lapp H. Towards an integrated ecosystem of R packages for the analysis of population genetic data. Mol Ecol Resour. 2017;17(1):1-4.

 

• Patel BN, Lopez JM, Jiang BG, Roth CJ, Nelson RC. Image-Rich Radiology Reports: A Value-Based Model to Improve Clinical Workflow. Journal of the American College of Radiology : JACR. 2017;14(1):57-64.

 

• Paul DW, Neely NB, Clement M, Riley I, Al-Hegelan M, Phelan M, …Murdoch DM, Lucas J, Bartlett J, McKellar M, Que LG. Development and validation of an electronic medical record (EMR)-based computed phenotype of HIV-1 infection. Journal of the American Medical Informatics Association : JAMIA. 2017.

 

• Payne PRO, Huang K, Shah NH, Tenenbaum J.  Open Data for Discovery Science. Pacific Symposium on Biocomputing 2017. 2017:649-652.

 

• Pencina MJ, Peterson ED. Moving from clinical trials to precision medicine: the role for predictive modeling. Jama. 2016 Apr 26;315(16):1713-4.

 

• Reese TJ, Kawamoto K, Del Fiol G, Weir C, Tonna J, Segall N, Nesbitt P, Waller R, Borbolla D, Moretti E, Wright MC. Approaching the Design of an Information Display to Support Critical Care. In Proceedings – 2017 IEEE International Conference on Healthcare Informatics, ICHI 2017 (pp. 439-443). [8031187] Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/ICHI.2017.64

 

• Reeves E, de PBP, Silva SG, Jaramillo D, Uribe T, Tiwari A, ….Humphreys JC. Trauma Exposure Among Women in the Pacific Rim. Journal of nursing scholarship: an official publication of Sigma Theta Tau International Honor Society of Nursing. 2017;49(3):286-93.

 

• Richesson RL, Green BB, Laws R, Puro J, Kahn MG, Bauck A, Smerek M, Van Eaton EG, Zozus M, Hammond W, Stephens KA. Pragmatic (trial) informatics: a perspective from the NIH Health Care Systems Research Collaboratory. Journal of the American Medical Informatics Association. 2017. doi: 10.1093/jamia/ocx016.

 

• Robinson EJ, Bergey MR, Brady E, Mapp AM, Goldsack JC. The Impact of an Electronic Medication Administration Record (eMAR) and Computerized Physician Order Entry (CPOE) on Nurse Extender and Unit Clerk Staffing. The Journal of nursing administration. 2017;47(12):610-5.

 

• Rudolph A, Vaughn J, Crego N, Hueckel R, Kuszajewski M, Molloy M, Brisson III R, Shaw RJ. Integrating Telepresence Robots Into Nursing Simulation. Nurse educator. 2017 Mar 1;42(2):E1-4.

 

• Spratt SE, Pereira K, Granger BB, Batch BC, Phelan M, Pencina M, Miranda ML, Boulware E, Lucas JE, Nelson CL, Neely B. Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus. Journal of the American Medical Informatics Association. 2017; Apr 1;24(e1):e121-8.

 

• Tenenbaum JD, Goodman KW.   Beyond the Genetic Information Nondiscrimination Act: ethical and economic implications of the exclusion of disability, long-term care and life insurance. Personalized Medicine. 2017; 14(2):153-157.

 

• Toledo JB, Arnold M, Kastenmüller G, Chang R, Baillie RA, Han X, Thambisetty M, Tenenbaum JD, Suhre K, Thompson JW, John-Williams LS  MahmoudianDehkordi S, Rotroff DM, Jack JR, Motsinger-Reif A, Risacher SL, Blach C, Lucas JE, Massaro T, Louie G, Zhu H, Dallmann G, Klavins K, Koal T, Kim S, Nho K Shen L, Casanova R, Varma S, Legido-Quigley C, Moseley MA, Zhu K, Henrion MY, van der Lee SJ, Harms AC, Demirkan A, Hankemeier T, van Duijn CM, Trojanowski JQ, Shaw LM, Saykin AJ, Weiner MW, Doraiswamy PM, Kaddurah-Daouk R. Metabolic network failures in Alzheimer’s disease—A biochemical road map. Alzheimer’s & Dementia. 2017; pii: S1552-5260(17)30046-8.

 

• Tucker KL, Sheppard JP, Stevens R, Bosworth HB, Bove A, Bray EP, et al. Self-monitoring of blood pressure in hypertension: A systematic review and individual patient data meta-analysis. PLos Med. 2017;14(9).

 

• Vandenberg AE, Vaughan CP, Stevens M, Hastings SN, Powers J, Markland A, et al. Improving geriatric prescribing in the ED: a qualitative study of facilitators and barriers to clinical decision support tool use. International journal for quality in health care : journal of the International Society for Quality in Health Care. 2017;29(1):117-23.

 

• Weinfurt KP, Hernandez AF, Coronado GD, DeBar LL, Dember LM, Green BB, …Curtis LH, et al. Pragmatic clinical trials embedded in healthcare systems: generalizable lessons from the NIH Collaboratory. BMC Med Res Methodol. 2017;17.

 

• Westra BL, Sylvia M, Weinfurter EF, Pruinelli L, Park JI, Dodd D,…Richesson RL, et al. Big data science: A literature review of nursing research exemplars. Nurs Outlook. 2017;65(5):549-61.

 

• Zozus MN, Lazarov A, Smith LR, Breen TE, Krikorian SL, Zbyszewski PS, Knoll, SK, Jendrasek, DA, Perrin, DC, Zambas, DN, Williams, TB, Pieper, CF. Analysis of professional competencies for the clinical research data management profession: implications for training and professional certification. J Am Med Inf Assoc. 2017;24(4):737-45.