Kristen Will, PhD, MHPE, PA-C
Assistant Dean, Clinical Programs and Accreditation; Clinical Associate Professor
College of Health Solutions, Arizona State University
Dr. Will serves as the Assistant Dean of Clinical Programs and Accreditation with oversight of Continuing Professional Education within the College of Health Solutions and is a Clinical Associate Professor in the Science of Health Care Delivery. She currently serves as the immediate past chair for the National Collaborative for Improving the Clinical Learning Environment (NCICLE). Ms. Will recently completed her PhD in Healthcare Leadership and Innovation at ASU, Edson College of Nursing and Health Innovation. Her research interests include interprofessional education/collaborative practice, use of big data and the EHR to study team-based care models and the patient experience.

Presenting at the Nexus Summit:

The objectives of this seminar are for participants to Examine matrix analysis approaches to align relationships of quality improvement and research initiatives with regulatory requirements and community assessments that target interprofessional community-embedded curriculum development Identify interprofessional academic-practice team needs, goals and objectives for population health mapping Discuss strategies to perform community needs’ assessments across geospatial dimensions   The design of community-engaged, interprofessional clinical learning environments (CLEs) requires…
Numerous organizations, like NCICLE and ACGME, have advanced our understanding and recognition of optimal interprofessional clinical learning environments (CLEs). To date, however, there are few guides for operationalizing essential elements of CLEs in real-world practices. This seminar uses the insights and lessons from two different interprofessional CLE start-up projects, one associated with multiple academic and clinical partners and one being developed in concert with plans for a new family medicine residency program. The aim of both projects is to design transformative learning…
Since the advent of the HITECH Act (2009), there has been exponential growth of the electronic health record (EHR). While advances in clinical decision support and limited interoperability have been made, limitations in EHR functionality still exist for clinicians. This is particularly evident for healthcare teams. EHR platforms were designed for individual end-users and lack functionality for active teaming in the clinical arena. Better EHR technology infrastructure is needed to optimize team-based care to optimally impact patient outcomes. The purpose of this Lightning Talk is to describe (…
Many institutions desire to begin to develop and implement structures and processes that will lead to an optimal interprofessional clinical learning environment (IP-CLE). While they recognize the importance, they may find themselves unsure of where to begin or how to plan for optimization of the clinical learning environment. A readiness tool that focuses on the ability for institutions/organizations to assess their current state of readiness and the structures and processes needed to make iterative change toward the optimal IP-CLE may be a useful tool for many. NCICLE has identified an…
Developing sustainable partnerships between academic and clinical settings is a central goal for achieving the aims of the Nexus. More commonly, academic, and clinical participants work on short-term achievable goals and hope for the best for maintaining and sustaining the momentum required for partnership. This seminar provides practical tools and strategies for creating foundations for sustainable partnerships.   The objectives of this seminar are for participants to: Experiment with tools to develop shared mental models across settings. Outline the key steps in the path to…
Electronic Health Record (EHR) data is abundant and accessible, possessing real-world information discoverable for the study of populations and improved patient care delivery. Despite the capacity of big data science to handle voluminous data and information and extensive analytics, EHR data is a largely untapped resource due to the variations and lack of standardization in implementation, data coding, and data storage and retrieval. This seminar describes a study utilizing EHR data to discover and describe primary care teams and determine their impact on patient outcomes. Further, it…
Background: Team-based care has been linked to key outcomes associated with the Quadruple Aim and a key driver of value-based care. With a perfect storm of events taxing our U.S. health system, it is essential to capture and analyze data about teams in real time. Use of the Electronic Health Record (EHR) and machine learning have significant potential to overcome previous barriers including lack of relevance to daily practice, delays in accessing data to improve teamwork, and invisibility of the contributions of team members not included in billable encounters. Methods: This study drew on a…