Tracks at Digital Quality Summit 2022



Track 1: Health Informatics and Intersectionality

This track will explore how race, class, sexual orientation, religion and gender identity create an overlapping and interdependent system that has led to health inequity. The sessions will explore how new information technology applications and new digital standards could be used to rebalance the equation to benefit all patients.

Track Leads

Vanessa Guzman, MS, Chief Executive Officer, SmartRise Health

Shara Cohen, JD, Chief Executive Officer, Carallel


Track 2: An Innovative Digital Quality Ecosystem

“Realizing digital health’s true potential” is a phrase that gets bandied about, but what value does digital quality innovation truly bring to the healthcare system?  This track will examine the foundational elements in a measurement-based value framework that is digitally enhanced and positively disruptive. The sessions will focus on defining the role of interoperability standards in knowledge discovery and how existing frameworks can advance our ideal of a high-value digital health environment.

Track Leads

Benjamin Hamlin, DrPH, Senior Research Informaticist, NCQA

Kristin Kostka, MPH, Chief Executive Officer, Director of the OHDSI Center, Northeastern University


Track 3: Digitally Enabled Care Innovation for Clinicians and Patients

What does digitally enabled care mean for patients and the clinicians who treat them? This track will examine how members of the care team experience the move to digital, including digital tools and how they use them, and how this shift can improve outcomes and provide value.

Track Leads

Onil Bhattacharyya, MD, PhD, 

Michael Klotz, Managing Consultant, MK Advisory Services, LLC

Laura Howard, Director, Quality Solutions Group, NCQA


Track 4: Real World Evidence, Digital Quality Measurements and the Virtuous Circle of the Learning Health System

This track will highlight the value of the digital Learning Health System (LHS) in accelerating knowledge to action through standardized, computable artifacts.  Those artifacts can enable the scenario in which physicians and clinicians, care delivery systems, public health programs, public health agencies, clinical registries and academic research facilities routinely and securely provide data which is transformed into knowledge.  That knowledge, in turn, can be redistributed in timely and actionable fashion to help care teams, patients, caregivers and others make informed health decisions.

Track Leads

Matthew Burton, MD, Principal Clinical Informatician and Knowledge Architect, Holistic Healthcare Solutions

Maria Michaels, MBA, Public Health Advisor, 




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