Peer-Reviewed Publications

Peer-Reviewed Publications by the EDM Forum Affiliated Projects


**Bayley KB, Belnap T, Savitz L, Masica AL, Shah N, Fleming NS. Challenges in Using Electronic Health Record Data for CER: Experience of 4 Learning Organizations and Solutions Applied. Medical care. 2013;51:S80-S6. DOI: 10.1097/MLR.0b013e31829b1d48.

**Brown JS, Kahn M, Toh S. Data Quality Assessment for Comparative Effectiveness Research in Distributed Data Networks. Medical care. 2013;51:S22-S9 DOI: 10.1097/MLR.0b013e31829b1e2c.

Chang, D., J. Anderson, P.T. Yu, L.C. Cajas-Monson, S.O. Rogers, and M.A. Talamini. Impact of risk-aversion behaviors: Can hospitals "game the system" by avoiding high-risk patients? J Am Coll Surg. 2012 Jul;215(1):80-6.

Crews KR, Gaedigk A, Dunnenberger HM, Klein TE, Shen DD, Callaghan JT, Kharasch ED, Skaar TC . Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines for codeine Therapy in the context of cytochrome P450 2D6 (CYP2D6) genotype. Clinical Pharmacogenetics Implementation Consortium. Clin Pharmacol Ther. 2012 Feb;91(2):321-6.

*Desai JR, Wu P, Nichols GA, Lieu TA, O'Connor PJ. Diabetes and asthma case identification, validation, and representativeness when using electronic health data to construct registries for comparative effectiveness and epidemiologic research. Med Care. 2012 Jul;50 Suppl:S30-35. DOI: 10.1097/MLR.0b013e318259c011.

Elliott TE, Holmes JH, Davidson AJ, et al. Data Warehouse Governance Programs in Healthcare Settings: A Literature Review and a Call to Action. eGEMs (Generating Evidence & Methods to improve patient outcomes) 2013 Oct 8;1(1). DOI: 10.13063/2327 9214.1010. 

**Embi PJ, Hebert C, Gordillo G, Kelleher K, Payne PRO. Knowledge Management and Informatics Considerations for Comparative Effectiveness Research: A Case-driven Exploration. Medical care. 2013;51:S38-S44 DOI: 10.1097/MLR.0b013e31829b1de1.

**Embi PJ, Payne PRO. Evidence Generating Medicine: Redefining the Research-Practice Relationship to Complete the Evidence Cycle. Medical care. 2013;51:S87-S91. DOI: 10.1097/MLR.0b013e31829b1d66.

**Faden R, Kass N, Whicher D, Stewart W, Tunis S. Ethics and Informed Consent for Comparative Effectiveness Research With Prospective Electronic Clinical Data. Medical care. 2013;51:S53-S7. DOI: 10.1097/MLR.0b013e31829b1e4b.

Frame A, LaMantia M, Reddy Bynagari BB, Dexter P, Boustani M. Development and Implementation of an Electronic Decision Support to Manage the Health of a High-Risk Population: The enhanced Electronic Medical Record Aging Brain Care Software (eMR-ABC). eGEMs (Generating Evidence & Methods to improve patient outcomes): Vol. 1: Iss. 1, Article 8. Available from: http://repository.academyhealth.org/egems/vol1/iss1/8.

*Glasgow RE. Commentary: Electronic health records for comparative effectiveness research. Med Care. Jul 2012;50 Suppl:S19-20. DOI: 10.1097/MLR.0b013e3182588ee4.

Hazlehurst B, McBurnie MA, Mularski RA, Puro JE, and Chauvie SL. Automating Care Quality Measurement With Health Information Technology. Am J Manag Care. 2012;18(6):313-319. 

*Hamilton Lopez M, Holve E, Sarkar IN, Segal C. Building the informatics infrastructure for comparative effectiveness research (CER): a review of the literature. Med Care. 2012 Jul;50 Suppl:S38-48. DOI:10.1097/MLR.0b013e318259becd.

Hamilton Lopez M., Holve E., Rein A., Sabharwal R.: Meaningfully Engaging Consumers and Patients within CER using Electronic Clinical Data. Poster session presented at: AMIA Summit on Clinical Research Informatics (CRI); 2012 March 22; San Francisco, CA.

**Hersh WR, Weiner MG, Embi PJ, Logan JR, Payne PRO, Bernstam EV, et al. Caveats for the Use of Operational Electronic Health Record Data in Comparative Effectiveness Research. Medical care. 2013;51:S30-S7. DOI: 10.1097/MLR.0b013e31829b1dbd.

**Holve E, Calonge N. Lessons from the Electronic Data Methods Forum: Collaboration at the Frontier of Comparative Effectiveness Research, Patient-Centered Outcomes Research, and Quality Improvement. Medical care. 2013;51:ii. DOI: 10.1097/01.mlr.0000432082.16778.96.

Holve E., Segal C. Infrastructure to support learning health systems: are we there yet? Innovative solutions and lessons learned from American Recovery and Reinvestment Act CER Investments. JCER. 2014; 3(6), 635-645. DOI: 10.2217/cer.14.72.

*Holve E, Segal C, Hamilton Lopez M. Opportunities and challenges for comparative effectiveness research (CER) with Electronic Clinical Data: a perspective from the EDM forum. Med Care. 2012 Jul;50 Suppl:S11-18. DOI: 10.1097/MLR.0b013e318258530f.

*Holve E, Segal C, Lopez MH, Rein A, Johnson BH. The Electronic Data Methods (EDM) forum for comparative effectiveness research (CER). Med Care. 2012 Jul;50 Suppl:S7-10. DOI: 10.1097/MLR.0b013e318257a66b.

Holve E., Hamilton Lopez M., Scott L., Segal C. A tall order on a tight timeframe: stakeholder perspectives on comparative effectiveness research using electronic clinical data. JCER. 2012 Sept; 1(5), 441-451. DOI:10.2217/cer.12.47.

Holve E. eGEMs: Pragmatic Publishing to Build a Learning Health System. eGEMs (Generating Evidence & Methods to improve patient outcomes) [Internet]. 2012 December;1(1):Article 2. Available from: http://repository.academyhealth.org/egems/vol1/iss1/2.

Holve E. Ensuring Support for Research and Quality Improvement (QI) Networks: Four Pillars of Sustainability — An Emerging Framework. eGEMs (Generating Evidence & Methods to improve patient outcomes)[Internet]. 2013 January;1(1):Article 5. Available from: http://repository.academyhealth.org/egems/vol1/iss1/5.

Jackson, R.S., D. Chang, and J.A. Freischlag. Comparison of Long-term Survival after Open vs. Endovascular repair of Intact Abdominal Aortic Aneurysm among Medicare Beneficiaries. JAMA. 2012 Apr 18;307(15):1621-8.

Jiang, X., A. Boxwala, R. El-Kareh, J. Kim, and L. Ohno-Machado. A patient-Driven Adaptive Prediction Technique (ADAPT) to improve personalized risk estimation for clinical decision support. J Am Med Inform Assoc. 2012 Jun 1;19(e1):e137-e144.

Jiang, X., J. Kim, Y. Wu, and L. Ohno-Machado. Selecting Cases for Whom Additional Tests Can Improve Prognostication. American Medical Informatics Association Annual Symposium, 2012.

**Jiang X, Sarwate AD, Ohno-Machado L. Privacy Technology to Support Data Sharing for Comparative Effectiveness Research: A Systematic Review. Medical care. 2013;51:S58-S65. DOI: 10.1097/MLR.0b013e31829b1d10.

*Kahn MG, Batson D, Schilling LM. Data model considerations for clinical effectiveness researchers. Med Care. 2012 Jul;50 Suppl:S60-67. DOI: 10.1097/MLR.0b013e318259bff4.

*Kahn MG, Raebel MA, Glanz JM, Riedlinger K, Steiner JF. A pragmatic framework for single-site and multisite data quality assessment in electronic health record-based clinical research. Med Care. 2012 Jul;50 Suppl:S21-29. DOI: 10.1097/MLR.0b013e318257dd67

**Kim KK, McGraw D, Mamo L, Ohno-Machado L. Development of a Privacy and Security Policy Framework for a Multistate Comparative Effectiveness Research Network. Medical care. 2013;51:S66-S72. DOI: 10.1097/MLR.0b013e31829b1d9f.

*Kushida CA, Nichols DA, Jadrnicek R, Miller R, Walsh JK, Griffin K. Strategies for de-identification and anonymization of electronic health record data for use in multicenter research studies. Med Care. 2012 Jul;50 Suppl:S82-101. DOI: 10.1097/MLR.0b013e3182585355.

Kwon S, et al. Creating a Learning Healthcare System in Surgery: Washington State’s Surgical Care and Outcomes Assessment Program (SCOAP) at 5 years. Surgery. 2012 Feb;151(2):146-52.

Luo Z, Yetisgen-Yildiz M, Weng C. Dynamic categorization of clinical research eligibility criteria by hierarchical clustering. J Biomed Inform. 2011 Dec;44(6):927-35.

*Marsolo K. Approaches to facilitate institutional review board approval of multicenter research studies. Med Care. 2012 Jul;50 Suppl:S77-81. DOI: 10.1097/MLR.0b013e31825a76eb.

Marsolo K. Informatics and operations - let's get integrated. JAMIA. 2013 Jan-Feb; 20(1): 122-124. Published online 2012 Sep 1. DOI. 10.1136/amiainl-2012-001194.

Marsolo K. In Search of a Data-in-Once, Electronic Health Record-Linked, Multicenter Registry— How Far We Have Come and How Far We Still Have to Go. eGEMs (Generating Evidence & Methods to improve patient outcomes) [Internet]. 2012 December;1(1):Article 3. Available from: http://repository.academyhealth.org/egems/vol1/iss1/3.

Nichols GA, Desai J, Elston Lafata J, Lawrence JM, O’Connor PJ, Pathak RD, et al. Construction of a Multisite DataLink Using Electronic Health Records for the Identification, Surveillance, Prevention, and Management of Diabetes Mellitus: The SUPREME-DM Project. Prev Chronic Dis. 2012;9:110311. DOI: http://dx.DOI.org/10.5888/pcd9.110311. 

Oakes M. Effect Identification in Comparative Effectiveness Research. eGEMs (Generating Evidence & Methods to improve patient outcomes)[Internet]. 2013 January;1(1):Article 4. Available from: http://repository.academyhealth.org/egems/vol1/iss1/4.

O'Connor PJ, Schmittdiel JA, Pathak RD, Harris RI, Newton KM, Ohnsorg KA, Heisler M, Sterrett AT, Xu S, Dyer WT, Raebel MA, Thomas A, Schroeder EB, Desai JR, Steiner JF. Randomized Trial of Telephone Outreach to Improve Medication Adherence and Metabolic Control in Adults With Diabetes. Diabetes Care. 2014 Oct 14. pii: DC_140596. 

**Ogunyemi OI, Meeker D, Kim H-E, Ashish N, Farzaneh S, Boxwala A. Identifying Appropriate Reference Data Models for Comparative Effectiveness Research (CER) Studies Based on Data from Clinical Information Systems. Medical care. 2013;51:S45-S52. DOI: 10.1097/MLR.0b013e31829b1e0b.

Payne, Philip (2013) "Advancing User Experience Research to Facilitate and Enable Patient Centered Research: Current State and Future Directions," eGEMs (Generating Evidence & Methods to improve patient outcomes): Vol. 1: Iss. 1, Article 10.  Available at: http://repository.academyhealth.org/egems/vol1/iss1/10.

Philips, S., Rae, J.M., Oesterreich, S., Hayes, D.F., Stearns, V., Henry, N.L., Storniolo, A.M., Flockhart, D.A., Skaar. T.C. Whole genome amplification of DNA for genotyping pharmacogenetics candidate genes. Front Pharmacol. 2012;3:54. 

Que, J., X. Jiang, and L. Ohno-Machado. A Collaborative Framework for Distributed Privacy-Preserving Support Vector Machine Learning. AMIA Annual Symposium, 2012.

Raebel MA, Ellis JL, Schroeder EB, Xu S, O'Connor PJ, Butler MG, Schmittdiel JA, Kirchner HL, Goodrich GK, Lawrence JM, Nichols GA, Newton KM, Pathak RD, Steiner JF. Intensification of antihyperglycemic therapy among patients with incident diabetes: a Surveillance Prevention and Management of Diabetes Mellitus (SUPREME-DM) study. Pharmacoepidemiol Drug Saf. 2014 Mar 17. DOI: 10.1002/pds.3610.

Raebel MA, Newcomer SR, Reifler LM, Boudreau D, Elliott TE, DeBar L, Ahmed A,  Pawloski PA, Fisher D, Donahoo WT, Bayliss EA. Chronic use of opioid medications before and after bariatric surgery. JAMA. 2013 Oct 2;310(13):1369-76. DOI: 10.1001/jama.2013.278344.

**Raebel MA, Schmittdiel J, Karter AJ, Konieczny JL, Steiner JF. Standardizing Terminology and Definitions of Medication Adherence and Persistence in Research Employing Electronic Databases. Medical care. 2013;51:S11-S21. DOI: 10.1097/MLR.0b013e31829b1d2a.

Raebel MA, Xu S, Goodrich GK, Schroeder EB, Schmittdiel JA, Segal JB, O’Connor PJ, Nichols GA, Lawrence JM, Kirchner HL, Elston Lafata J, Butler M, Newton KM, Steiner JF. Initial Antihyperglycemic Drug Therapy Among 241 327 Adults With Newly Identified Diabetes From 2005 Through 2010: A Surveillance, Prevention, and Management of Diabetes Mellitus (SUPREME-DM) Study. Ann Pharmacother. 2013;47(10):1280–1291.

Ramamoorthy A, Li L, Gaedigk A, Bradford LD, Benson EA, Flockhart DA, Skaar TC.In Silico and In Vitro Identification of MicroRNAs that Regulate HNF4A Expression. Drug Metab Dispos. 2012 Apr;40(4):726-33.

*Randhawa GS, Slutsky JR. Building sustainable multi-functional prospective electronic clinical data systems. Med Care. 2012 Jul;50 Suppl:S3-6. DOI: 10.1097/MLR.0b013e3182588ed1.

Schmittdiel JA, Raebel MA, Dyer W, Xu S, Goodrich GK, Schroeder EB, Segal JB, O’Connor PJ, Nichols GA, Lawrence JM, Kirchner HL, Karter AJ, Lafata JE, Butler MG, Steiner JF. Prescription medication burden in patients with newly diagnosed diabetes: A SUrveillance, PREvention, and ManagEment of Diabetes Mellitus (SUPREME-DM) study. Journal of the American Pharmacists Association (2003) 2014; e251-e259. PMID: 24860866.

Schilling, Lisa M.; Kwan, Bethany M.; Drolshagen, Charles T.; Hosokawa, Patrick W.; Brandt, Elias; Pace, Wilson D.; Uhrich, Christopher; Kamerick, Michael; Bunting, Aidan; Payne, Philip R.O.; Stephens, William E.; George, Joseph M.; Vance, Mark; Giacomini, Kelli; Braddy, Jason; Green, Mika K.; and Kahn, Michael G. (2013) "Scalable Architecture for Federated Translational Inquiries Network (SAFTINet) Technology Infrastructure for a Distributed Data Network," eGEMs (Generating Evidence & Methods to improve patient outcomes): Vol. 1: Iss. 1, Article 11. Available at: http://repository.academyhealth.org/egems/vol1/iss1/11.

Schroeder EB, Goodrich GK, Newton KM, Schmittdiel JA, Raebel MA. Implications of different laboratory-based incident diabetic kidney disease definitions on comparative effectiveness studies. Journal of Comparative Effectiveness Research. 2014 Jul;3(4):359-69. DOI: 10.2217/cer.14.25.

Segal C., Holve E. American Recovery and Reinvestment Act-comparative effectiveness research infrastructure investments: emerging data resources, tools and publications. JCER. 2014; 3(6), 647-655. DOI: 10.2217/cer.14.71.

Simpson L. Learning How to Learn: How AcademyHealth is Supporting Evidence Generation in a Transforming World. eGEMs (Generating Evidence & Methods to improve patient outcomes)[Internet]. 2012 December; 1(1):Article 1. Available from: http://repository.academyhealth.org/egems/vol1/iss1/1.

*Sittig DF, Hazlehurst BL, Brown J, et al. A survey of informatics platforms that enable distributed comparative effectiveness research using multi-institutional heterogeneous clinical data. Med Care. 2012 Jul;50 Suppl:S49-59. DOI: 10.1097/MLR.0b013e318259c02b.

Sittig DF, Hazlehurst BL. Informatics grand challenges in multi-institutional comparative effectiveness research. JCER. 2012 Sep; 1(5): 373-376.

**Snyder CF, Jensen RE, Segal JB, Wu AW. Patient-reported Outcomes (PROs): Putting the Patient Perspective in Patient-centered Outcomes Research. Medical care. 2013;51:S73-S9. DOI: 10.1097/MLR.0b013e31829b1d84.

Steiner JF. Rethinking Adherence. Ann Intern Med. 2012 Oct 16;157(8):580-5.

Tepper M, et al. Statistical Section Segmentation in Free-Text Clinical Records. Proceedings of the International Conference on Language Resources and Evaluation (LREC), Istanbul, May, 2012.

**Toh S, Gagne JJ, Rassen JA, Fireman BH, Kulldorff M, Brown JS. Confounding Adjustment in Comparative Effectiveness Research Conducted Within Distributed Research Networks. Medical care. 2013;51:S4-S10. DOI: 1097/MLR.0b013e31829b1bb1.

Toh S, Platt R, Steiner JF, Brown JS. Comparative-effectiveness research in distributed health data networks. Clin Pharmacol Ther. 2011;90:883-7.

Wallace P. eGEMs: An Opportunity for Better Science. eGEMs (Generating Evidence & Methods to improve patient outcomes) [Internet]. 2013 January; 1(1):Article 6. Available from: http://repository.academyhealth.org/egems/vol1/iss1/6. 

Weiskopf NG, Weng C. Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research. J Am Med Inform Assoc. (Epub ahead of print) 2012.

Weng, Chunhua; Appelbaum, Paul; Hripcsak, George; Kronish, Ian; Busacca, Linda; Davidson, Karina W., Bigger, J Thomas. Using EHRs to Integrate Research with Patient Care: Promises and Challenges. J Am Med Inform Assoc. 2012 Sep-Oct;19(5):684-7.

Weng, Chunhua; Batres, Candido; Borda, Tomas; Weiskopf, Nicole G; Wilcox, Adam B; Bigger, J. Thomas; Davidson, Karina W. A Real-time Screening Alert Improves Patient Recruitment Efficiency. AMIA Annu Symp Proc. 2011;2011:1489-98.

Weng C, Wu X, Luo Z, Boland MR, Theodoratos D, Johnson SB. EliXR: an approach to eligibility criteria extraction and representation. J Am Med Inform Assoc. 2011 Dec;18 Suppl 1:i116-24.

Wilcox A, Gallagher K, Bakken, S.Suzanne. Security Approaches in Using Tablet Computers for Primary Data Collection in Clinical Research. eGEMs (Generating Evidence & Methods to improve patient outcomes): Vol. 1: Iss. 1, Article 7. Available from: http://repository.academyhealth.org/egems/vol1/iss1/7.

*Wilcox AB, Gallagher KD, Boden-Albala B, Bakken SR. Research data collection methods: from paper to tablet computers. Med Care. 2012 Jul;50 Suppl:S68-73. DOI: 10.1097/MLR.0b013e318259c1e7.

Wilcox, AB; Chen, Yueh-Hsia; Hripcsak, George. Minimizing Electronic Health Record Patient-Note Mismatches. J Am Med Inform Assoc. 2011 Jul-Aug;18(4):511-4.

Woo JH, Lai AM, Chung WK, Weng C. Similarity-based disease risk assessment for personal genomes: proof of concept. AMIA Annu Symp Proc. 2011;2011:1524-31.

Wu, Y., X. Jiang, and L. Ohno-Machado. Preserving Institutional Privacy in Distributed Binary Logistic Regression. AMIA Annual Symposium, 2012.

Wu, Y., X. Jiang, J. Kim, and L. Ohno-Machado.Grid Binary LOgistic REgression (GLORE): building shared models without sharing data. J Am Med Inform Assoc. 2012 Sep-Oct;19(5):758-64.

Xu S, Schroeder EB, Shetterly S, Goodrich GK, O’Connor PJ, Steiner JF, Schmittdiel JA, Desai J, Pathak RD, Neugebauer R, Butler MG, Kirchner L, Raebel MA. Accuracy of Hemoglobin A1c Imputation using Fasting Plasma Glucose in Diabetes Research using Electronic Health Records Data.Stat., Optim. Inf. Comput., 2014 June;2(2):93–104.

Yoon, Sunmoo; Wilcox, Adam; and Bakken, Suzanne (2013) "Comparisons Among Health Behavior Surveys: Implications for the Design of Informatics Infrastructures that Support Comparative Effectiveness Research," eGEMs (Generating Evidence & Methods to improve patient outcomes): Vol. 1: Iss. 1, Article 9.  Available at: http://repository.academyhealth.org/egems/vol1/iss1/9.