The Elimu Informatics team regularly develops research on subjects related to healthcare informatics in addition to research conducted for our own products. This curated collection reflects our expertise, contributions, and the depth of our understanding in various health-related domains.

Our team's research fuels the development of cutting-edge solutions, ensuring that our practices and technologies align with the latest advancements and industry standards. This bibliography not only highlights our achievements but also acts as a resource hub, offering valuable insights and knowledge to professionals, researchers, and enthusiasts interested in the evolving landscape of healthcare informatics.

The following page is ordered by year and in alphabetical order.


  1. Dolin RH, Gupta R, Newsom K, et al. Automated HL7v2 LRI informatics framework for streamlining genomics-EHR data integration. Journal of Pathology Informatics. 2023;14:100330.
  2. Dolin R, Heale BSE, Gupta R, et al. Sync for Genes Phase 5: Computable artifacts for sharing dynamically annotated FHIR-formatted genomic variants. Learning Health Systems. 2023;n/a(n/a):e10385.
  3. Dolin RH, Heale BSE, Alterovitz G, et al. Introducing HL7 FHIR Genomics Operations: a developer-friendly approach to genomics-EHR integration. J Am Med Inform Assoc. 2023;30(3):485-493.
  4. Dullabh P, Heaney-Huls KK, Chiao AB, et al. Implementation and evaluation of an electronic health record-integrated app for postpartum monitoring of hypertensive disorders of pregnancy using patient-contributed data collection. JAMIA Open. 2023;6(4):ooad098. doi:10.1093/jamiaopen/ooad098
  5. Hongsermeier T, Glaser J. Chapter 21 - Managing the investment in clinical decision support. In: Greenes RA, Del Fiol G, eds. Clinical Decision Support and Beyond (Third Edition). Academic Press; 2023:603-626. doi:10.1016/B978-0-323-91200-6.00021-8
  6. Kannry J, Bates DW, Hongsermeier T, Krall M, Yackel T. The Life Cycle of Clinical Decision Support (CDS): CDS Theory and Practice from Request to Maintenance - PMC. Published September 29, 2023.
  7. Kashyap V, Turchin A, Morin L, Chang F, Li Q, Hongsermeier T. Creation of Structured Documentation Templates using Natural Language Processing Techniques - PMC. Published September 29, 2023.
  8. Nanjo C, Boxwala AA. Chapter 12 - Grouped knowledge elements. In: Greenes RA, Del Fiol G, eds. Clinical Decision Support and Beyond (Third Edition). Academic Press; 2023:383-401. doi:10.1016/B978-0-323-91200-6.00012-7
  9. Shenvi EC, Boxwala A, Sittig DF, et al. Visualization of Patient-Generated Health Data: A Scoping Review of Dashboard Designs. Appl Clin Inform. Published online September 13, 2023.
  10. Sittig DF, Boxwala A, Wright A, et al. A lifecycle framework illustrates eight stages necessary for realizing the benefits of patient-centered clinical decision support. J Am Med Inform Assoc. 2023;30(9):1583-1589.
  11. Sordo M, Hongsermeier T, Greenes R. KNOWLEDGE MANAGEMENT FOR CLINICAL DECISION SUPPORT Requirement Analysis of Collaboration Tools for Content Management. Published online September 29, 2023.


  1. Brant EB, Kennedy JN, King AJ, et al. Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR. npj Digit Med. 2022;5(1):1-8.
  2. Cooley ME, Mazzola E, Xiong N, et al. Clinical Decision Support for Symptom Management in Lung Cancer Patients: A Group RCT. J Pain Symptom Manage. 2022;63(4):572-580.
  3. Dullabh P, Heaney-Huls K, Lobach DF, et al. The technical landscape for patient-centered CDS: progress, gaps, and challenges. J Am Med Inform Assoc. 2022;29(6):1101-1105.
  4. Dullabh P, Heaney-Huls K, Hovey L, et al. The Technology Landscape of Patient-Centered Clinical Decision Support - Where Are We and What Is Needed? Stud Health Technol Inform. 2022;290:350-353.
  5. Dullabh P, Sandberg SF, Heaney-Huls K, et al. Challenges and opportunities for advancing patient-centered clinical decision support: findings from a horizon scan. J Am Med Inform Assoc. 2022;29(7):1233-1243.
  6. Leavy MB, Boussios C, Phillips RL, et al. Outcome Measure Harmonization and Data Infrastructure for Patient-Centered Outcomes Research in Depression: Final Report. Agency for Healthcare Research and Quality (US); 2022.
  7. Lobach DF, Boxwala A, Kashyap N, et al. Integrating a Patient Engagement App into an Electronic Health Record-Enabled Workflow Using Interoperability Standards. Appl Clin Inform. 2022;13(5):1163-1171.
  8. Nanji KC, Garabedian PM, Langlieb ME, et al. Usability of a perioperative medication-related clinical decision support software application: a randomized controlled trial. J Am Med Inform Assoc. 2022;29(8):1416-1424.
  9. Thiess H, Del Fiol G, Malone DC, et al. Coordinated use of Health Level 7 standards to support clinical decision support: Case study with shared decision making and drug-drug interactions. International Journal of Medical Informatics. 2022;162:104749.


  1. Dolin RH, Gothi SR, Boxwala A, et al. vcf2fhir: a utility to convert VCF files into HL7 FHIR format for genomics-EHR integration. BMC Bioinformatics. 2021;22(1):104.
  2. Nanji KC, Garabedian PM, Shaikh SD, et al. Development of a Perioperative Medication-Related Clinical Decision Support Tool to Prevent Medication Errors: An Analysis of User Feedback. Appl Clin Inform. 2021;12(5):984-995.


  1. Chamala S, Majety S, Mishra SN, et al. Indispensability of Clinical Bioinformatics for Effective Implementation of Genomic Medicine in Pathology Laboratories. ACI open. 2020;04(2):e167-e172.
  2. Karimi S, Jiang X, Dolin RH, Kim M, Boxwala A. A secure system for genomics clinical decision support. Journal of Biomedical Informatics. 2020;112:103602.


  1. Cooley ME, Abrahm JL, Berry DL, et al. Algorithm-based decision support for symptom self-management among adults with Cancer: results of usability testing. BMC Med Inform Decis Mak. 2018;18(1):31.
  2. Dolin RH, Boxwala A, Shalaby J. A Pharmacogenomics Clinical Decision Support Service Based on FHIR and CDS Hooks. Methods Inf Med. 2018;57(S 2):e115-e123.
  3. Shenvi EC, Feupe SF, Yang H, El-Kareh R. “Closing the loop”: a mixed-methods study about resident learning from outcome feedback after patient handoffs. Diagnosis (Berl). 2018;5(4):235-242.


  1. Eisenstein EL, Willis JM, Edwards R, et al. Randomized Trial of Population-Based Clinical Decision Support to Facilitate Care Transitions. Stud Health Technol Inform. 2017;234:98-103.


  1. Hongsermeier JG Tonya. Managing Clinical Decision Support. In: Glaser on Health Care IT. CRC Press; 2016.
  2. Kawamoto K, Anstrom KJ, Anderson JB, et al. Long-Term Impact of an Electronic Health Record-Enabled, Team-Based, and Scalable Population Health Strategy Based on the Chronic Care Model. AMIA Annu Symp Proc. 2016;2016:686-695.
  3. Lobach DF, Johns EB, Halpenny B, et al. Increasing Complexity in Rule-Based Clinical Decision Support: The Symptom Assessment and Management Intervention. JMIR Med Inform. 2016;4(4):e36.


  1. Cooley ME, Blonquist TM, Catalano PJ, et al. Feasibility of using algorithm-based clinical decision support for symptom assessment and management in lung cancer. J Pain Symptom Manage. 2015;49(1):13-26.
  2. Dolin RH, Rogers B, Jaffe C. Health level seven interoperability strategy: big data, incrementally structured. Methods Inf Med. 2015;54(1):75-82.
  3. Meeker D, Jiang X, Matheny ME, et al. A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research. J Am Med Inform Assoc. 2015;22(6):1187-1195.
  4. Shenvi EC, El-Kareh R. Clinical criteria to screen for inpatient diagnostic errors: a scoping review. Diagnosis (Berl). 2015;2(1):3-19.
  5. Shenvi EC, Meeker D, Boxwala AA. Understanding data requirements of retrospective studies. Int J Med Inform. 2015;84(1):76-84.
  6. Wright A, Sittig DF, Ash JS, et al. Lessons learned from implementing service-oriented clinical decision support at four sites: A qualitative study. International Journal of Medical Informatics. 2015;84(11):901-911.


  1. Allen A, Des Jardins TR, Heider A, et al. Making it local: Beacon Communities use health information technology to optimize care management. Popul Health Manag. 2014;17(3):149-158.
  2. D’Amore JD, Mandel JC, Kreda DA, et al. Are Meaningful Use Stage 2 certified EHRs ready for interoperability? Findings from the SMART C-CDA Collaborative. J Am Med Inform Assoc. 2014;21(6):1060-1068.


  1. Bergenstal RM, Ahmann AJ, Bailey T, et al. Recommendations for standardizing glucose reporting and analysis to optimize clinical decision making in diabetes: the Ambulatory Glucose Profile (AGP). Diabetes Technol Ther. 2013;15(3):198-211.
  2. Collins S, Tsivkin K, Hongsermeier T, Dubois D, Nandigam HK, Rocha RA. A Continuum of Sociotechnical Requirements for Patient-Centered Problem Lists. In: MEDINFO 2013. IOS Press; 2013:889-893. doi:10.3233/978-1-61499-289-9-889
  3. Cooley ME, Lobach DF, Johns E, et al. Creating computable algorithms for symptom management in an outpatient thoracic oncology setting. J Pain Symptom Manage. 2013;46(6):911-924.e1.
  4. Dixon BE, Paterno MD, Simonaitis L, et al. Demonstrating Cloud-based Clinical Decision Support at Scale: The Clinical Decision Support Consortium. In: MEDINFO 2013. IOS Press; 2013:1268-1268.
  5. Dixon B, Simonaitis L, Goldberg HS, et al. A pilot study of distributed knowledge management and clinical decision support in the cloud. Artificial Intelligence in Medicine. 2013;59(1):45-53.
  6. Kawamoto K, Hongsermeier T, Wright A, Lewis J, Bell DS, Middleton B. Key principles for a national clinical decision support knowledge sharing framework: synthesis of insights from leading subject matter experts. Journal of the American Medical Informatics Association. 2013;20(1):199-207.
  7. Lobach DF, Kawamoto K, Anstrom KJ, et al. A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries. J Med Syst. 2013;37(1):9922.
  8. Ogunyemi OI, Meeker D, Kim HE, Ashish N, Farzaneh S, Boxwala A. Identifying appropriate reference data models for comparative effectiveness research (CER) studies based on data from clinical information systems. Med Care. 2013;51(8 Suppl 3):S45-52.
  9. Willis JM, Edwards R, Anstrom KJ, et al. Decision support for evidence-based pharmacotherapy detects adherence problems but does not impact medication use. Stud Health Technol Inform. 2013;183:116-125.
  10. Zhou L, Hongsermeier T, Boxwala A, et al. Structured Representation for Core Elements of Common Clinical Decision Support Interventions to Facilitate Knowledge Sharing. In: MEDINFO 2013. IOS Press; 2013:195-199. doi:10.3233/978-1-61499-289-9-195


  1. Breydo E, Shubina M, Shalaby JW, Einbinder JS, Turchin A. Lexical Concept Distribution Reflects Clinical Practice. AMIA Annu Symp Proc. 2012;2012:61-66.
  2. Bright TJ, Wong A, Dhurjati R, et al. Effect of clinical decision-support systems: a systematic review. Ann Intern Med. 2012;157(1):29-43.
  3. Eisenstein EL, Anstrom KJ, Edwards R, Willis JM, Simo J, Lobach DF. Population-based clinical decision support: a clinical and economic evaluation. Stud Health Technol Inform. 2012;180:343-347.
  4. Grando MA, Glasspool D, Boxwala A. Argumentation logic for the flexible enactment of goal-based medical guidelines. J Biomed Inform. 2012;45(5):938-949.
  5. Jiang X, Boxwala AA, El-Kareh R, Kim J, Ohno-Machado L. A patient-driven adaptive prediction technique to improve personalized risk estimation for clinical decision support. J Am Med Inform Assoc. 2012;19(e1):e137-144.
  6. Kim M, Turechek Z, Boxwala A, et al. Definition of a metadata model for a multi–layered clinical practice guideline representation framework. International Journal of Functional Informatics and Personalised Medicine. 2012;4(1):47-55.
  7. Lewis J, Hongsermeier TM, Middleton B, Bell DS. A Prototype Knowledge-Sharing Service for Clinical Decision Support Artifacts. Rand Health Q. 2012;2(2):11.
  8. Lobach D, Sanders GD, Bright TJ, et al. Enabling health care decisionmaking through clinical decision support and knowledge management. Evid Rep Technol Assess (Full Rep). 2012;(203):1-784.
  9. Ohno-Machado L, Bafna V, Boxwala AA, et al. iDASH: integrating data for analysis, anonymization, and sharing. J Am Med Inform Assoc. 2012;19(2):196-201.
  10. Zhou L, Karipineni N, Lewis J, et al. A study of diverse clinical decision support rule authoring environments and requirements for integration. BMC Med Inform Decis Mak. 2012;12(1):128.


  1. Boxwala AA, Kim J, Grillo JM, Ohno-Machado L. Using statistical and machine learning to help institutions detect suspicious access to electronic health records. J Am Med Inform Assoc. 2011;18(4):498-505.
  2. Boxwala AA, Rocha BH, Maviglia S, et al. A multi-layered framework for disseminating knowledge for computer-based decision support. Journal of the American Medical Informatics Association. 2011;18(Supplement_1):i132-i139.
  3. Dolin RH, Alschuler L. Approaching semantic interoperability in Health Level Seven. J Am Med Inform Assoc. 2011;18(1):99-103.
  4. Eisenstein EL, Kawamoto K, Anstrom KJ, 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.
  5. Hongsermeier T, Maviglia S, Tsurikova L, et al. A Legal Framework to Enable Sharing of Clinical Decision Support Knowledge and Services across Institutional Boundaries. AMIA Annu Symp Proc. 2011;2011:925-933.
  6. Kim J, Grillo JM, Boxwala AA, et al. Anomaly and signature filtering improve classifier performance for detection of suspicious access to EHRs. AMIA Annu Symp Proc. 2011;2011:723-731.


  1. Borbolla D, Otero C, Lobach DF, et al. Implementation of a clinical decision support system using a service model: results of a feasibility study. Stud Health Technol Inform. 2010;160(Pt 2):816-820.
  2. Del Fiol G, Kawamoto K, Lapointe NMA, et al. Improving Medication Adherence in a Regional Healthcare Information Exchange using a Scalable, Claims-Driven, and Service-Oriented Approach. AMIA Annu Symp Proc. 2010;2010:137-141.
  3. Dolin RH. SNOMED at the point of service: the challenges and opportunities of SNOMED-encoded data. J AHIMA. 2010;81(3):42-43.
  4. Dykes PC, Carroll DL, Hurley A, et al. Fall Prevention in Acute Care Hospitals: A Randomized Trial. JAMA. 2010;304(17):1912-1918.
  5. Greenes R, Bloomrosen M, Brown-Connolly NE, et al. The Morningside Initiative: Collaborative Development of a Knowledge Repository to Accelerate Adoption of Clinical Decision Support. Open Med Inform J. 2010;4:278-290.
  6. Kawamoto K, Del Fiol G, Lobach DF, Jenders RA. Standards for scalable clinical decision support: need, current and emerging standards, gaps, and proposal for progress. Open Med Inform J. 2010;4:235-244.
  7. Kawamoto K, Del Fiol G, Orton C, Lobach DF. System-agnostic clinical decision support services: benefits and challenges for scalable decision support. Open Med Inform J. 2010;4:245-254.
  8. Linder JA, Schnipper JL, Tsurikova R, et al. Electronic health record feedback to improve antibiotic prescribing for acute respiratory infections. Am J Manag Care. 2010;16(12 Suppl HIT):e311-319.
  9. Linder JA, Schnipper JL, Tsurikova R, Volk LA, Middleton B. Self-reported familiarity with acute respiratory infection guidelines and antibiotic prescribing in primary care. International Journal for Quality in Health Care. 2010;22(6):469-475.
  10. Lobach DF, Waters MA, Keatts S, et al. Integrating direct electronic collection of data from patients into the process of care for eye care professionals. AMIA Annu Symp Proc. 2010;2010:457-461.
  11. O’Daniel J, Lucas J, Deverka P, et al. Factors influencing uptake of pharmacogenetic testing in a diverse patient population. Public Health Genomics. 2010;13(1):48-54.
  12. Paterno MD, Maviglia SM, Ramelson HZ, et al. Creating Shareable Decision Support Services: An Interdisciplinary Challenge. AMIA Annu Symp Proc. 2010;2010:602-606.
  13. Schnipper JL, Linder JA, Palchuk MB, et al. Effects of documentation-based decision support on chronic disease management. Am J Manag Care. 2010;16(12 Suppl HIT):SP72-81.34.
  14. Sittig DF, Wright A, Middleton B, Tsurikova R, Ash JS. S94– Recommendations for clinical guideline developers regarding clinical decision support-related standards. Otolaryngol Head Neck Surg. 2010;143(1_suppl):61-62.


  1. Eisenstein EL, Lobach DF, Kawamoto K, et al. A randomized clinical trial of clinical decision support in a rural community health network serving lower income individuals: study design and baseline characteristics. Stud Health Technol Inform. 2009;143:220-226.
  2. Kawamoto K, Lobach DF, Willard HF, Ginsburg GS. A national clinical decision support infrastructure to enable the widespread and consistent practice of genomic and personalized medicine. BMC Med Inform Decis Mak. 2009;9:17.
  3. Kawamoto K, Orlando LA, Voora D, et al. Evaluation of the PharmGKB knowledge base as a resource for efficiently assessing the clinical validity and utility of pharmacogenetic assays. AMIA Annu Symp Proc. 2009;2009:307-311.
  4. Linder J, Schnipper J, Tsurikova R, et al. Documentation-based clinical decision support to improve antibioticprescribing for acute respiratory infections in primary care: acluster randomised controlled trial. Journal of Innovation in Health Informatics. 2009;17(4):231-240.
  5. Lobach DF, Waters A, Silvey GM, et al. Facilitating consumer clinical information seeking by maintaining referential context: evaluation of a prototypic approach. AMIA Annu Symp Proc. 2009;2009:380-384.
  6. Patwardhan MB, Kawamoto K, Lobach D, Patel UD, Matchar DB. Recommendations for a clinical decision support for the management of individuals with chronic kidney disease. Clin J Am Soc Nephrol. 2009;4(2):273-283.
  7. Phansalkar S, Robinson G, Getty G, Shalaby J, Tao D, Broverman C. Challenges in Exchanging Medication Information: Identifying Gaps in Clinical Document Exchange and Terminology Standards. AMIA Annu Symp Proc. 2009;2009:526-530.
  8. Wright A, Bates DW, Middleton B, et al. Creating and sharing clinical decision support content with Web 2.0: Issues and examples. Journal of Biomedical Informatics. 2009;42(2):334-346.


  1. Lobach DF, Silvey GM, Willis JM, et al. Coupling direct collection of health risk information from patients through kiosks with decision support for proactive care management. AMIA Annu Symp Proc. 2008;2008:429-433.
  2. Schnipper JL, McColgan KE, Linder JA, et al. Improving management of chronic diseases with documentation-based clinical decision support: results of a pilot study. AMIA Annu Symp Proc. Published online November 6, 2008:1050.
  3. Silvey GM, Willis JM, Lobach DF. Deployment of health information kiosks in diverse community settings: experience and lessons learned. AMIA Annu Symp Proc. Published online November 6, 2008:1132.
  4. Staroselsky M, Volk LA, Tsurikova R, et al. An effort to improve electronic health record medication list accuracy between visits: Patients’ and physicians’ response. International Journal of Medical Informatics. 2008;77(3):153-160.
  5. Zeng-Treitler Q, Goryachev S, Tse T, Keselman A, Boxwala A. Estimating consumer familiarity with health terminology: a context-based approach. J Am Med Inform Assoc. 2008;15(3):349-356.
  6. Zhou L, Gurjar R, Regier R, et al. A study on design and development of enterprise-wide concepts for clinical documentation templates. AMIA Annu Symp Proc. Published online November 1, 2008:1193.


  1. Dolin RH, Giannone G, Schadow G. Enabling joint commission medication reconciliation objectives with the HL7 / ASTM Continuity of Care Document standard. AMIA Annu Symp Proc. 2007;2007:186-190.
  2. Eisenstein EL, Lobach DF, Montgomery P, Kawamoto K, Anstrom KJ. Evaluating implementation fidelity in health information technology interventions. AMIA Annu Symp Proc. 2007;2007:211-215.
  3. Eisenstein EL, Lobach DF, Montgomery P, Kawamoto K, Anstrom KJ. Implementation fidelity: a framework for evaluation in the health information technology field. AMIA Annu Symp Proc. Published online October 11, 2007:949.
  4. Feigenbaum L, Herman I, Hongsermeier T, Neumann E, Stephens S. The Semantic Web in Action. Scientific American. 2007;297(6):90-97.
  5. Hongsermeier T, Kashyap V, Sordo M. 21 - Knowledge management infrastructure: Evolution at partners healthcare system. In: Greenes RA, ed. Clinical Decision Support. Academic Press; 2007:447-467. doi:10.1016/B978-012369377-8/50022-2
  6. Kashyap V, Hongsermeier T. Can Semantic Web Technologies Enable Translational Medicine? In: Baker CJO, Cheung KH, eds. Semantic Web: Revolutionizing Knowledge Discovery in the Life Sciences. Springer US; 2007:249-279. doi:10.1007/978-0-387-48438-9_13
  7. Kawamoto K, Allen LaPointe NM, Silvey GM, Anstrom KJ, Eisenstein EL, Lobach DF. Development and evaluation of an improved methodology for assessing adherence to evidence-based drug therapy guidelines using claims data. AMIA Annu Symp Proc. 2007;2007:394-398.
  8. Kawamoto K, Lobach DF. Proposal for fulfilling strategic objectives of the U.S. Roadmap for national action on clinical decision support through a service-oriented architecture leveraging HL7 services. J Am Med Inform Assoc. 2007;14(2):146-155.
  9. Linder JA, Schnipper JL, Volk LA, et al. Clinical Decision Support to Improve Antibiotic Prescribing for Acute Respiratory Infections: Results of a Pilot Study. AMIA Annu Symp Proc. 2007;2007:468-472.
  10. Lobach DF, Kawamoto K, Anstrom KJ, et al. Proactive population health management in the context of a regional health information exchange using standards-based decision support. AMIA Annu Symp Proc. 2007;2007:473-477.
  11. Lobach DF, Kawamoto K, Anstrom KJ, Russell ML, Woods P, Smith D. Development, deployment and usability of a point-of-care decision support system for chronic disease management using the recently-approved HL7 decision support service standard. Stud Health Technol Inform. 2007;129(Pt 2):861-865.
  12. Lobach DF, Detmer DE. Research challenges for electronic health records. Am J Prev Med. 2007;32(5 Suppl):S104-111.
  13. Ruttenberg A, Clark T, Bug W, et al. Advancing translational research with the Semantic Web. BMC Bioinformatics. 2007;8(3):S2.
  14. Silvey GM, Haga SB, O’Daniel JM, et al. Determining user preferences between touch and pen data entry methods in the Tablet PC computing environment. AMIA Annu Symp Proc. Published online October 11, 2007:1115.
  15. Sordo M, Hongsermeier T, Kashyap V, Greenes RA. A State-Based Model for Management of Type II Diabetes. In: Yoshida H, Jain A, Ichalkaranje A, Jain LC, Ichalkaranje N, eds. Advanced Computational Intelligence Paradigms in Healthcare – 1. Studies in Computational Intelligence. Springer; 2007:27-61. doi:10.1007/978-3-540-47527-9_2
  16. Sordo M, Hongsermeier T, Kashyap V, Greenes RA. Partners Healthcare Order Set Schema: An Information Model for Management of Clinical Content. In: Yoshida H, Jain A, Ichalkaranje A, Jain LC, Ichalkaranje N, eds. Advanced Computational Intelligence Paradigms in Healthcare – 1. Studies in Computational Intelligence. Springer; 2007:1-25. doi:10.1007/978-3-540-47527-9_1
  17. Volk LA, Staroselsky M, Newmark LP, et al. Do Physicians Take Action on High Risk Family History Information Provided by Patients Outside of a Clinic Visit. In: MEDINFO 2007: Proceedings of the 12th World Congress on Health (Medical) Informatics. IOS Press; 2007:13-17.
  18. Wright A, Goldberg H, Hongsermeier T, Middleton B. A Description and Functional Taxonomy of Rule-based Decision Support Content at a Large Integrated Delivery Network. Journal of the American Medical Informatics Association. 2007;14(4):489-496.


  1. Dolin RH, Alschuler L, Boyer S, et al. HL7 Clinical Document Architecture, Release 2. Journal of the American Medical Informatics Association. 2006;13(1):30-39.
  2. Dolin RH, Wiesenthal AM. National health information network cost and structure. Ann Intern Med. 2006;144(2):145; author reply 147.
  3. Eisenstein EL, Ortiz M, Anstrom KJ, Crosslin DR, Lobach DF. Assessing the quality of medical information technology economic evaluations: room for improvement. AMIA Annu Symp Proc. 2006;2006:234-238.
  4. Eisenstein EL, Ortiz M, Anstrom KJ, Crosslin DR, Lobach DF. Economic evaluation in medical information technology: why the numbers don’t add up. AMIA Annu Symp Proc. 2006;2006:914.
  5. Gurjar R, Li Q, Bugbee D, et al. Design and Implementation of a Clinical Rule Editor for Chronic Disease Reminders in an Electronic Medical Record. AMIA Annu Symp Proc. 2006;2006:936.
  6. Kashyap V, Morales A, Hongsermeier T. On Implementing Clinical Decision Support: Achieving Scalability and Maintainability by Combining Business Rules and Ontologies. AMIA Annu Symp Proc. 2006;2006:414-418.
  7. Kawamoto K, Lobach DF. Design, implementation, use, and preliminary evaluation of an UMLS-enabled terminology Web service for clinical decision support. AMIA Annu Symp Proc. 2006;2006:979.
  8. Linder JA, Schnipper JL, Tsurikova R, Melnikas AJ, Volk LA, Middleton B. Barriers to Electronic Health Record Use during Patient Visits. AMIA Annu Symp Proc. 2006;2006:499-503.
  9. Lobach DF, Willis JM, Macri JM, Simo J, Anstrom KJ. Perceptions of Medicaid beneficiaries regarding the usefulness of accessing personal health information and services through a patient Internet portal. AMIA Annu Symp Proc. 2006;2006:509-513.
  10. Silvey GM, Lobach DF, Macri JM, Hunt M, Kacmaz RO, Lee PP. User interface considerations for collecting data at the point of care in the tablet PC computing environment. AMIA Annu Symp Proc. 2006;2006:1096.
  11. Staroselsky M, Volk LA, Tsurikova R, et al. Improving electronic health record (EHR) accuracy and increasing compliance with health maintenance clinical guidelines through patient access and input. International Journal of Medical Informatics. 2006;75(10):693-700.
  12. Willis JM, Macri JM, Simo J, Anstrom KJ, Lobach DF. Perceptions about use of a patient Internet portal among Medicaid beneficiaries. AMIA Annu Symp Proc. 2006;2006:1145.


  1. Eisenstein EL, Anstrom KJ, Macri JM, et al. Developing a framework for conducting economic evaluations of community-based health information technology interventions. AMIA Annu Symp Proc. 2005;2005:948.
  2. Eisenstein EL, Anstrom KJ, Macri JM, et al. Assessing the potential economic value of health information technology interventions in a community-based health network. AMIA Annu Symp Proc. 2005;2005:221-225.
  3. Hongsermeier T, Kashyap V. A Knowledge Management platform for Translational Medicine. AMIA Annu Symp Proc. 2005;2005:984.
  4. Kashyap V, Morales A, Hongsermeier T, Li Q. Definitions Management: A Semantics-Based Approach for Clinical Documentation in Healthcare Delivery. In: Gil Y, Motta E, Benjamins VR, Musen MA, eds. The Semantic Web – ISWC 2005. Lecture Notes in Computer Science. Springer; 2005:887-901.
  5. Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005;330(7494):765.
  6. Kawamoto K, Lobach DF. Design, implementation, use, and preliminary evaluation of SEBASTIAN, a standards-based Web service for clinical decision support. AMIA Annu Symp Proc. 2005;2005:380-384.
  7. Lobach DF, Silvey GM, Macri JM, Hunt M, Kacmaz RO, Lee PP. Identifying and overcoming obstacles to point-of-care data collection for eye care professionals. AMIA Annu Symp Proc. 2005;2005:465-469.
  8. Silvey GM, Lobach DF, Macri JM, Hunt M, Kacmaz RO, Lee PP. Overcoming obstacles to collecting narrative data from eye care professionals at the point-of-care. AMIA Annu Symp Proc. 2005;2005:1116.
  9. Silvey GM, Macri JM, Lee PP, Lobach DF. Direct comparison of a tablet computer and a personal digital assistant for point-of-care documentation in eye care. AMIA Annu Symp Proc. 2005;2005:689-693.
  10. Skinner CS, Rawl SM, Moser BK, et al. Impact of the Cancer Risk Intake System on patient-clinician discussions of tamoxifen, genetic counseling, and colonoscopy. J Gen Intern Med. 2005;20(4):360-365.
  11. Wuerdeman L, Volk L, Pizziferri L, et al. How Accurate is Information that Patients Contribute to their Electronic Health Record? AMIA Annu Symp Proc. 2005;2005:834-838.


  1. Balas EA, Krishna S, Kretschmer RA, Cheek TR, Lobach DF, Boren SA. Computerized knowledge management in diabetes care. Med Care. 2004;42(6):610-621.
  2. Boxwala AA, Peleg M, Tu S, et al. GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines. J Biomed Inform. 2004;37(3):147-161.
  3. Dolin RH, Mattison JE, Cohn S, et al. Kaiser Permanente’s Convergent Medical Terminology. In: MEDINFO 2004. IOS Press; 2004:346-350. doi:10.3233/978-1-60750-949-3-346
  4. Lobach DF, Arbanas JM, Mishra DD, Campbell M, Wildemuth BM. Adapting the human-computer interface for reading literacy and computer skill to facilitate collection of information directly from patients. Stud Health Technol Inform. 2004;107(Pt 2):1142-1146.
  5. Scott-Wright AO, Fischer RP, Denekamp Y, Boxwala AA. A methodology for modular representation of guidelines. Stud Health Technol Inform. 2004;107(Pt 1):149-153.
  6. Weaver CA, Hongsermeier T. Measuring Outcomes: Bringing Six Sigma Excellence to Health Care. In: Ball MJ, Weaver CA, Kiel JM, eds. Healthcare Information Management Systems: Cases, Strategies, and Solutions. Health Informatics Series. Springer; 2004:262-281. doi:10.1007/978-1-4757-4041-7_24


  1. Boxwala AA, Zeng QT, Chamberas A, Sato L, Dierks M. Coverage of patient safety terms in the UMLS metathesaurus. AMIA Annu Symp Proc. 2003;2003:110-114.
  2. Denekamp Y, Boxwala AA, Kuperman G, Middelton B, Greenes RA. A meta-data model for knowledge in decision support systems. AMIA Annu Symp Proc. 2003;2003:826.
  3. Kawamoto K, Lobach DF. Clinical decision support provided within physician order entry systems: a systematic review of features effective for changing clinician behavior. AMIA Annu Symp Proc. 2003;2003:361-365.
  4. Lobach DF, Hasselblad V, Wildemuth BM. Evaluation of a tool to categorize patients by reading literacy and computer skill to facilitate the computer-administered patient interview. AMIA Annu Symp Proc. 2003;2003:391-395.
  5. Luckmann RS, Boxwala AA, Greenes RA. A method for subdividing clinical guidelines into process modules with associated triggers and objectives to facilitate implementation. AMIA Annu Symp Proc. 2003;2003:918.
  6. Ostbye T, Lobach DF, Cheesborough D, et al. Evaluation of an infrared/radiofrequency equipment-tracking system in a tertiary care hospital. J Med Syst. 2003;27(4):367-380.
  7. Ray HN, Mootha VK, Boxwala AA. Building an application framework for integrative genomics. AMIA Annu Symp Proc. 2003;2003:981.
  8. Stephen R, Boxwala A, Gertman P. Feasibility of using a large Clinical Data Warehouse to automate the selection of diagnostic cohorts. AMIA Annu Symp Proc. 2003;2003:1019.


  1. Dolin RH, Spackman KA, Markwell D. Selective retrieval of pre- and post-coordinated SNOMED concepts. Proc AMIA Symp. Published online 2002:210-214.
  2. Ray HN, Boxwala AA, Anantraman V, Ohno-Machado L. Providing context-sensitive decision-support based on WHO guidelines. Proc AMIA Symp. Published online 2002:637-641.
  3. Wang D, Peleg M, Tu SW, et al. Representation primitives, process models and patient data in computer-interpretable clinical practice guidelines: a literature review of guideline representation models. Int J Med Inform. 2002;68(1-3):59-70.
  4. Zeng Q, Kogan S, Ash N, Greenes RA, Boxwala AA. Characteristics of consumer terminology for health information retrieval. Methods Inf Med. 2002;41(4):289-298.


  1. Boxwala AA, Tu S, Peleg M, et al. Toward a representation format for sharable clinical guidelines. J Biomed Inform. 2001;34(3):157-169.
  2. Dolin RH, Boles M, Dolin R, et al. Kaiser Permanente’s “metadata-driven” national clinical intranet. Stud Health Technol Inform. 2001;84(Pt 1):319-323.
  3. Dolin RH, Spackman K, Abilla A, et al. The SNOMED RT Procedure Model. Proc AMIA Symp. Published online 2001:139-143.
  4. Greenes RA, Peleg M, Boxwala A, Tu S, Patel V, Shortliffe EH. Sharable computer-based clinical practice guidelines: rationale, obstacles, approaches, and prospects. Stud Health Technol Inform. 2001;84(Pt 1):201-205.
  5. Lobach DF, Low R, Arbanas JA, Rabold JS, Tatum JL, Epstein SD. Defining and supporting the diverse information needs of community-based care using the web and hand-held devices. Proc AMIA Symp. Published online 2001:398-402.
  6. Peleg M, Boxwala AA, Bernstam E, Tu S, Greenes RA, Shortliffe EH. Sharable representation of clinical guidelines in GLIF: relationship to the Arden Syntax. J Biomed Inform. 2001;34(3):170-181.
  7. Peleg M, Ogunyemi O, Tu S, et al. Using features of Arden Syntax with object-oriented medical data models for guideline modeling. Proc AMIA Symp. Published online 2001:523-527.
  8. Sutherland LA, Campbell M, Ornstein K, Wildemuth B, Lobach D. Development of an adaptive multimedia program to collect patient health data. Am J Prev Med. 2001;21(4):320-324.


  1. Dolin RH, Alschuler L, Boyer S, Beebe C, Kona Editorial Group. An update on HL7’s XML-based document representation standards. Proc AMIA Symp. Published online 2000:190-194.
  2. Lobach DF, Kerner N. A systematic process for converting text-based guidelines into a linear algorithm for electronic implementation. Proc AMIA Symp. Published online 2000:507-511.


  1. Boxwala AA, Greenes RA, Deibel SR. Architecture for a multipurpose guideline execution engine. Proc AMIA Symp. Published online 1999:701-705.
  2. Dolin RH, Alschuler L, Behlen F, et al. HL7 document patient record architecture: an XML document architecture based on a shared information model. Proc AMIA Symp. Published online 1999:52-56.
  3. Dolin RH. Advances in data exchange for the clinical laboratory. Clin Lab Med. 1999;19(2):385-419, vii.
  4. Greenes RA, Boxwala A, Sloan WN, Ohno-Machado L, Deibel SR. A framework and tools for authoring, editing, documenting, sharing, searching, navigating, and executing computer-based clinical guidelines. Proc AMIA Symp. Published online 1999:261-265.
  5. Lobach DF, Spell RU, Hales JW, Rabold JS. A Web link management tool for optimizing utilization of distributed knowledge in health care applications. Proc AMIA Symp. Published online 1999:839-843.
  6. Lukoff JY, Dolin RH, McKinley CS, Fuller LM, Biron PV. Validation of an XML-based process to automatically web-enable clinical practice guidelines: experience with the smoking cessation guideline. Proc AMIA Symp. Published online 1999:311-314.
  7. Ohno-Machado L, Wang SJ, Mar P, Boxwala AA. Decision support for clinical trial eligibility determination in breast cancer. Proc AMIA Symp. Published online 1999:340-344.
  8. Porcelli PJ, Lobach DF. Integration of clinical decision support with on-line encounter documentation for well child care at the point of care. Proc AMIA Symp. Published online 1999:599-603.


  1. Broverman C, Kapusnik-Uner J, Shalaby J, Sperzel D. A concept-based medication vocabulary: an essential requirement for pharmacy decision support. Pharm Pract Manag Q. 1998;18(1):1-20.
  2. Dolin RH, Rishel W, Biron PV, Spinosa J, Mattison JE. SGML and XML as interchange formats for HL7 messages. Proc AMIA Symp. Published online 1998:720-724.
  3. Levy DH, Dolin RH, Mattison JE, Spackman KA, Campbell KE. Computer-facilitated collaboration: experiences building SNOMED-RT. Proc AMIA Symp. Published online 1998:870-874.


  1. Hongsermeier T, Mitus AJ. Managing the interface between primary-care provider and specialist. J Cardiovasc Manag. 1997;8(2):27-29.
  2. Hongsermeier T. Technology-enabled clinical guidelines and EMRs (electronic medical records). Health Manag Technol. 1997;18(8):66.
  3. Hongsermeier T. Managing resources. Directing patients to appropriate specialist care. Med Group Manage J. 1997;44(4):28-30, 32, 75.
  4. Lobach DF, Gadd CS, Hales JW. Structuring clinical practice guidelines in a relational database model for decision support on the Internet. Proc AMIA Annu Fall Symp. Published online 1997:158-162.
  5. Lobach DF, Hammond WE. Computerized decision support based on a clinical practice guideline improves compliance with care standards. Am J Med. 1997;102(1):89-98.
  6. Prather JC, Lobach DF, Goodwin LK, Hales JW, Hage ML, Hammond WE. Medical data mining: knowledge discovery in a clinical data warehouse. Proc AMIA Annu Fall Symp. Published online 1997:101-105.


  1. Dolin RH. Expressiveness and query complexity in an electronic health record data model. Proc AMIA Annu Fall Symp. Published online 1996:522-526.
  2. Lundy MS, Hammond WE, Lobach DF. Documenting data delivery: design, deployment, and decision. Proc AMIA Annu Fall Symp. Published online 1996:807-811.


  1. Lobach DF. A model for adapting clinical guidelines for electronic implementation in primary care. Proc Annu Symp Comput Appl Med Care. Published online 1995:581-585.
  2. Prather JC, Lobach DF, Hales JW, Hage ML, Fehrs SJ, Hammond WE. Converting a legacy system database into relational format to enhance query efficiency. Proc Annu Symp Comput Appl Med Care. Published online 1995:372-376.


  1. Dolin RH. A high-level object-oriented model for representing relationships in an electronic medical record. Proc Annu Symp Comput Appl Med Care. Published online 1994:514-518.
  2. Hongsermeier T. Attitudes about Guidelines. Ann Intern Med. 1994;121(9):725-726.
  3. Lobach DF, Hammond WE. Development and evaluation of a Computer-Assisted Management Protocol (CAMP): improved compliance with care guidelines for diabetes mellitus. Proc Annu Symp Comput Appl Med Care. Published online 1994:787-791.
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