Andrea Englund

Led biomedical informatics research initiatives, collaborating with principal investigators to align protocols with strategic objectives. Enhanced clinical data interoperability by integrating structured vocabulary and designing efficient workflows. Contributed to pediatric data projects through data analysis, supporting improved healthcare solutions.

• Academy Health Annual Research Meeting, 2025, Poster Presentation, Lynch Syndrome Documentation Workflow Analysis
• Becker’s Health IT and Clinical Leadership Conference, 2019, Panelist, Nurse Bullying: Ideas to Improve the Workplace
• Becker’s CIO and Revenue Cycle Conference, 2018, Panelist, The Return on Investment in Data Analytics and Health IT
• Becker’s CIO and Revenue Cycle Conference, 2017, Panelist, Delivering a Great Patient Experience in the Revenue Cycle
• MEDITECH Nurse and Homecare Forum, 2017, Panelist, Nursing Documentation Improvement
• MEDITECH Nurse and Homecare Forum, 2017, Podium Presentation, Implementing, Hosting, and Supporting the MEDITECH system in Non-Owned/Non-Affiliated Organizations
• MEDITECH Nurse and Homecare Forum, 2016, Podium Presentation, Population Health: Strategies that Drive Cultural Transformation
• Rotary, 2016, Podium Presentation, Patient Care Coordination Model
• Wide River Healthcare IT Consulting Nursing Informatics Conference, 2015, Panelist, Patient Care Coordination and Interoperability
• MEDITECH Nurse and Homecare Forum, 2014, Podium Presentation, Improving Order Communication
• International MUSE, 2012, Podium Presentation, Maestro Interconnectivity Improves Quality of Care While Saving Clinicians’ Time

• Vice-President, Moses Hill Evangelical Covenant Church Board, 01/01/24, Current
• President, Moses Hill Evangelical Covenant Church Board, 01/01/20, 12/31/24
• Assistant Art Instructor, Holdrege High School, 2019
• Volunteer, Samaritan’s Purse, 01/01/12, Current
• Leader, Adult Sunday Bible studies, 01/01/12, Current
• Volunteer, Optimist Club, 01/01/12, Current
• Coach, Girls softball, YMCA, 01/01/14, 12/31/15
• Teacher, Elementary Sunday school Bible, 01/01/07, 12/31/09

• Luu, H. S., Campbell, W. S., Cholan, R. A., Edgerton, M. E., Englund, A., Keller, A.,…Powell, S., 2024, Analysis of laboratory data transmission between two healthcare institutions using a widely used point-to-point health information exchange platform: a case report., JAMIA Open, 7, 2, https://doi.org/10.1093/jamiaopen/ooae032
• Wood, D, 2012, May, Cutting the Red Tape: Reactions to the New HHS Rules., https://www.amnhealthcare.com/latest-healthcare-news/430/1033/
• Prinz, L., Cramer, M., & Englund, A., 2008, Telehealth: a policy analysis for quality, impact on patient outcomes, and political feasibility., Nursing Outlook, 56, 4, 152-158, https://doi.org/10.1016/j.outlook.2008.02.005

• Sigma Theta Tau Global Nursing Excellence: Gamma Pi at-Large Chapter member
• QHR LEAN Healthcare Leader
• Centura Health JUNTO group
• MEDITECH Nurse Advisory Council for technology improvements (Acute, Ambulatory, Outpatient, and Homecare)

• Terminology Concept Representation
• Terminology standards, including Systematized Nomenclature of Medicine Clinical Terminology (SNOMED CT), Logical Observation Identifiers Names and Codes (LOINC), and International Classification of Diseases 11th Revision (ICD-11) for concept mapping and encoding within clinical information systems
• Pathology synoptic reporting, leveraging structured vocabularies for accurate data capture and interoperability
• Strategic integration of genomics, oncology, and genetics terminology into Electronic Medical Record (EMR) platforms to support clinical decision-making
• Design and evaluation of workflows to enhance the semantic interoperability of clinical data across systems
• Implementation of artificial intelligence (AI) and machine learning (ML) for genetic data interpretation using standardized terminologies
• Contributions to medical data capture improvements focused on structured concept representation and data quality
• Analysis of rural cancer syndromes and identification of population health hot spots using encoded clinical and genetic concepts