Inas S. Khayal, PhD
Title(s)
Associate Professor of The Dartmouth Institute
Associate Professor of Biomedical Data Science
Additional Titles/Positions/Affiliations
Adjunct Associate Professor of Computer Science
Department(s)
The Dartmouth Institute
Biomedical Data Science
Education
University of California, San Francisco, Ph.D.
University of California, Berkeley, Ph.D.
Boston University, B.S.
Programs
Dartmouth Cancer Center
Quantitative Biomedical Sciences
The Dartmouth Institute for Health Policy and Clinical Practice
Contact Information
One Medical Center Drive
Williamson Translational Research Building, Level 5
HB7251
Lebanon NH 03756
Office: 502 Williamson
Email: inas.khayal@dartmouth.edu
Professional Interests
Prof. Khayal is a highly interdisciplinary translational researcher focused on improving chronic disease health outcomes. Her current work addresses the reality of the multi-level interconnected systems we live in. She leads the Sustainable Health Lab focused on improving chronic care delivery using model-based systems engineering and data science to address health services research problems of implementation, quality measurement, improvement, health equity, and understanding organizational behavior. Her latest American Cancer Society (ACS) Health Equity and Access to Care Research Scholar Award addresses the siloed scientific approach to healthcare disparities to provide hospitals with actionable information and process tools to tailor bespoke solutions that reduce healthcare disparities in the context of local resources.
Grant Information
RSG-22-128-01-HOPS American Cancer Society
Role: PI
Title: Identifying hospital and patient social determinants of health factors from hospital‐level palliative and end‐of‐life cancer healthcare disparities
P01AG019783 NIH NIA (Barnato)
Role: Core Lead
Title: Causes and Consequences of Healthcare Efficiency in Alzheimer’s Disease and Related Dementias
Levy Healthcare Delivery Incubator (Satcher)
Role: Co-Investigator
Title: Returning Home: Improving Post‐Incarceration Care Transitions
Courses Taught
QBS 192 Health Informatics
CS 89.17/189.17 Health Informatics
PH 109 Systems Thinking
Mentoring Information
Ph.D. Rotations
CS Senior Thesis
Interested students, please email Prof. Khayal and include your CV.
Visualized shared mental modeling: an adapted practical framework for interdisciplinary teams solving complex problems in healthcare. A Bayesian-driven approach to identify racial inequities in longitudinal care delivery. End-of-Life Cancer Care Interventions for Racially and Ethnically Diverse Populations in the USA: A Scoping Review. Hidden figures underlying quality measures: revealing hidden racial inequalities in end-of-life cancer care delivery: a cohort study. A Web-Based Peer Support Network to Help Care Partners of People With Serious Illness: Co-Design Study. Organizational Intent, Organizational Structures, and Reviewer Mental Models Influence Mortality Review Processes. Clinically informed machine learning elucidates the shape of hospice racial disparities within hospitals. From measures to action: can integrating quality measures provide system-wide insights for quality improvement decision making? What is in the palliative care 'syringe'? A systems perspective. Development of dynamic health care delivery heatmaps for end-of-life cancer care: a cohort study. |
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