Sarah Mullin

发表

Safe Opioid Prescription: A SMART on FHIR Approach to Clinical Decision Support

P. Elkin, Shyamashree Sinha, Mark Jensen, 2017, Online journal of public health informatics.

Leukotriene inhibitors with dexamethasone show promise in the prevention of death in COVID-19 patients with low oxygen saturations

Steven H. Brown, P. Elkin, S. Resendez, 2022, Journal of Clinical and Translational Science.

Employing AI with NLP to Combine EHR’s Structured and Free Text Data to Identify NVAF to Decrease Strokes and Death (Preprint)

P. Elkin, K. Nolen, J. Mardekian, 2021, Journal of Medical Internet Research.

Using Artificial Intelligence With Natural Language Processing to Combine Electronic Health Record’s Structured and Free Text Data to Identify Nonvalvular Atrial Fibrillation to Decrease Strokes and Death: Evaluation and Case-Control Study

P. Elkin, D. Schlegel, J. Mardekian, 2021, Journal of medical Internet research.

Secondary Use of EHR: Interpreting Clinician Inter-Rater Reliability Through Qualitative Assessment

Peter L. Elkin, Edwin Anand, Sarah Mullin, 2017, CSHI.

Students’ Perceptions about a Collaboratively Designed Behaviour Improvement Policy: An Exploratory Ethnographical Study

Sarah Mullin, 2020 .

Chemical Entity Normalization for Successful Translational Development of Alzheimer’s Disease and Dementia Therapeutics

Robert R. McDougal, K. Cheung, C. Zeiss, 2023, Research Square.

Multisource Feedback Driven Intervention Improves Physician Leadership and Teamwork

Peter L. Elkin, Paul Gregory, Jinwei Hu, 2020, AMIA.

Clinical Data Warehouse Query and Learning Tool Using a Human-Centered Participatory Design Process

Peter L. Elkin, Robert Lee, Sarah Mullin, 2018, ICIMTH.

Longitudinal K-means approaches to clustering and analyzing EHR opioid use trajectories for clinical subtypes

Peter L. Elkin, Sarah Mullin, Jaroslaw Zola, 2021, J. Biomed. Informatics.

Assessing Opioid Use Patient Representations and Subtypes

Sarah Mullin, Peter Elkin, P. Elkin, 2020, MIE.

Using Artificial Intelligence With Natural Language Processing to Combine Electronic Health Record’s Structured and Free Text Data to Identify Nonvalvular Atrial Fibrillation to Decrease Strokes and Death: Evaluation and Case-Control Study

P. Elkin, D. Schlegel, J. Mardekian, 2021, Journal of medical Internet research.