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  1. The FHIR HIEdrant

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  2. Annotating Clinical Text using a FHIR-Based Drug Ontology in a Natural Language Processing System

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  3. Use of the Ambulatory Electronic Health Record (Allscripts® AEHR) to Mine Quality Metrics: A Pilot Study in an Ambulatory Pediatric Cardiac Practice for Evaluation of Chest Pain in Children 5-18 years of Age

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  4. Increasing Access to Medical Documentation for Hospitalized Children: A Qualitative Needs Assessment of Parents and Caregivers

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  5. Design and Implementation Considerations for a Clinical Decision Support Knowledge Management Repository

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  6. Developing a Comprehensive Statewide Smoking Cessation Plan for IU Health: Leveraging a connection with the Indiana Tobacco Quitline

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  7. The Current State of mHealth Applications for the Treatment of Depression

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  8. Technology Uses in Suicide Prevention

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  9. Reducing Binge Drinking Among Adolescents : A Brighter Future

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  10. Inpatient communication networks: leveraging secure text-messaging platforms to gain insight into inpatient communication systems

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  11. Making Systematic Reviews More Useful to Learning Health Systems

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  12. The Needle in the Haystack: Finding High Quality Online Health Information Amongst an Infinite Supply of Data

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  13. Reducing Barriers to Care Delivery for Congestive Heart Failure: Agile and User-Centered Design Integration Approaches

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  14. Elucidating Molecular Mechanisms of HPV-Positive Head and Neck Squamous Cell Carcinoma

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  15. A Systematic Review of Geographic Information System Applications in Pediatric Health Services Access and Utilization: A Study of Current and Future Research Directions

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  16. Reliability issues in imaging genetics

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  17. Development of a database model to support inpatient physicians' patient handoff needs

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  18. Finding healthy patients from electronic health records for research control subjects in clinical trial recruitment

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  19. A Systematic review of near real-time and point-of-care clinical decision support in anesthesia information management systems

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  20. Predictive analytics in the pediatric ICU using electronic health record data : clinical rationale, data science techniques, and evaluation of different prediction models to predict acute kidney injury

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