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Dive into the research topics where Nathan C. Hulse is active.

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Featured researches published by Nathan C. Hulse.


eGEMs (Generating Evidence & Methods to improve patient outcomes) | 2017

Experience with Integrating Diagnostic Decision Support Software with Electronic Health Records: Benefits versus Risks of Information Sharing

Michael M. Segal; Alanna Kulchak Rahm; Nathan C. Hulse; Grant M. Wood; Janet L. Williams; Lynn Feldman; Gregory J. Moore; David Gehrum; Michelle Yefko; Steven Mayernick; Roger Gildersleeve; Margie C. Sunderland; Steven Bleyl; Peter J. Haug; Marc S. Williams

Introduction: Reducing misdiagnosis has long been a goal of medical informatics. Current thinking has focused on achieving this goal by integrating diagnostic decision support into electronic health records. Methods: A diagnostic decision support system already in clinical use was integrated into electronic health record systems at two large health systems, after clinician input on desired capabilities. The decision support provided three outputs: editable text for use in a clinical note, a summary including the suggested differential diagnosis with a graphical representation of probability, and a list of pertinent positive and pertinent negative findings (with onsets). Results: Structured interviews showed widespread agreement that the tool was useful and that the integration improved workflow. There was disagreement among various specialties over the risks versus benefits of documenting intermediate diagnostic thinking. Benefits were most valued by specialists involved in diagnostic testing, who were able to use the additional clinical context for richer interpretation of test results. Risks were most cited by physicians making clinical diagnoses, who expressed concern that a process that generated diagnostic possibilities exposed them to legal liability. Discussion and Conclusion: Reconciling the preferences of the various groups could include saving only the finding list as a patient-wide resource, saving intermediate diagnostic thinking only temporarily, or adoption of professional guidelines to clarify the role of decision support in diagnosis.


AMIA | 2014

Integrating a Diagnostic Decision Support Tool into an Electronic Health Record and Relevant Clinical Workflows through Standards-Based Exchange

Nathan C. Hulse; Grant M. Wood; Siew Lam; Michael Segal


AMIA | 2012

Development of a Taxonomy of Setting-Specific Factors for Adaptation of Clinical Decision Support Rules.

David Yauch; Pamela Kum; Samson W. Tu; Peter J. Haug; Nathan C. Hulse; Emory Fry; Robert A. Greenes; Mary K. Goldstein


AMIA | 2017

Analyzing Patient Data Entry Patterns of Free Text based Family History Disease Concepts.

Jaehoon Lee; Nathan C. Hulse; Stacey Knight


AMIA | 2017

Extracting Actionable Recommendations for Modifying Enterprise Order Set Templates from CPOE Utilization Patterns.

Nathan C. Hulse; Jaehoon Lee


AMIA | 2016

Integration of a Healthcare Data Dictionary Front-end Tool with Data Visualization: Architectural Features and Early Implementation in the Laboratory Domain.

Jaehoon Lee; Nathan C. Hulse; Michael G. Newman; Douglas Mitchell; Gyan Sharma; Naveen Maram


AMIA | 2016

Fitbit TM Fitness Tracking Ease of Use and Utility: Preliminary Findings for Potential Use in Clinical Care.

David P. Taylor; Nathan C. Hulse; Chaitanya K. Mynam; Bhanu Iyer; Matthew Ebert; Jason Gagner; Peter J. Haug


AMIA | 2016

Visualization of Order Set Creation and Usage Patterns in Early Implementation Phases of an Electronic Health Record.

Nathan C. Hulse; Jaehoon Lee; Tim Borgeson


AMIA | 2016

DOT, an Interactive Reporting Dashboard for Visualization of Order Set Development and Utilization Patterns across an Enterprise.

Nathan C. Hulse; Jaehoon Lee; Tim Borgeson


AMIA | 2014

A Case Study on Integrating a Genealogy Database into a Consumer-Facing Family Health History Tool.

Jaehoon Lee; Nathan C. Hulse; David P. Taylor; Pallavi Ranade-Kharkar; Grant M. Wood; Peter J. Haug; Stanley M. Huff

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Peter J. Haug

Primary Children's Hospital

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Grant M. Wood

Primary Children's Hospital

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