Addressing the Five Myths of Healthcare Engagement
  • CODE : STES-0007
  • Duration : 60 Minutes
  • Level : All Levels
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Steven M. Schwartz, PhD, Behavioral Scientist, Data Scientist, Clinical-Medical Psychologist, Healthcare Researcher, Human-Centered & Instructional Design Architect.  

Dr. Schwartz is currently self-employed in private practice and consults in various areas of clinical science, research, business development, and innovation. He has previously headed up Clinical Science and Innovation with Triddium (now part of Lucet), led the scientific strategy for IndividuAllytics (the N of 1 evaluation leaders), and headed up Clinical Research & Evaluation (HEOR) for Diplomat Pharmacy (now part of Optum). Dr. Schwartz also served as a part of the Behavioral Science Team that architected and evaluated the HealthMedia digital health coaching products prior to, during, and after the company’s acquisition by Johnson and Johnson in 2008, Dr. Schwartz has been part of the digital innovation curve in healthcare for many years consulting for companies like MyStrenth and Retrofit (later acquired by Livongo) among others. He has also served as an adjunct faculty at the University of Michigan, Eastern Michigan University, Michigan School of Psychology in the Department of Social Sciences and Psychology at the University of the Virgin Islands.

As a Boarded Clinical Psychologist fully licensed and practicing in the State of Michigan, Dr. Schwartz has significant theoretical and practical expertise in (Cognitive) Behavioral Psychology, Learning Theory, Positive Psychology, Behavioral Economics, Clinical Trials, Program Evaluation, Human-Centered and Instructional Design, and Gamification.


It is commonplace in many healthcare settings that as part of their delivery of clinical services (preventive care, acute-care and chronic-care) healthcare organizations are challenged to solve for consumer-patient engagement in their own care and medical decision-making.  The tactical elements for engagement often include ways to exchange information, better understand experiences and related needs, and ultimately provide valuable services efficiently and effectively that meet those needs. This is particularly challenging in healthcare and programming directed at specific risks, conditions, or populations.

From the lens of human-centered design thinking, the goal is to develop a value-based relationship with the consumer-patient where exchange of value can occur and develop naturally. Too often organization begins with the assumption that all they need do is to simply create an app, a portal, or other centralized context within which the developers and organizations hope to recruit and engage with their target audience in an enriched dialogue.  Unfortunately, too little attention is given to the question of what or how to engage that audience around issues of shared relevance.  To provide a practical framework for creating such an engagement, we have considered six key elements.

Areas Covered

In addition to the six solutions offered above, this presentation will cover five common myths that have implications for the design of healthcare products, services, and supporting data. The central theme is the advocacy for the utilization of what is known about human behavior and the need for data-driven, human-centered design in both strategy and tactics.  

Five Myths of Healthcare Engagement:

  • AI/Machine Learning Is Magic:  Many mistaken notions exist about AI, big data, data science and what it can and cannot do. For many concepts like statistical theory and assumptions, machine learning, predictive modelling, artificial intelligence, etc. create the expectation that it can answer all questions and solve all problems.
  • If You Build It, They Will Come: Provision of patient empowering products and services are often either treated as a checkbox item (everyone has a portal), or without a deep consideration of the role of patient, patient needs, and how they will navigate a healthcare system that is fragmented, confusing and opaque.
  • If They Come, They Will Stay: Retention of activated patients is the hallmark of engagement, but few systems have shown that they can keep patients interested and compliant with their own health needs over time and motivated maintenance is the biggest challenge to patient empowered population change.
  • Knowledge (content) is Power: For years, we have known that education and information alone do little to motivate or inculcate changes in behavior (e.g, warning labels on packages of cigarettes).  How do you go beyond simple provision of information to engage patients in their own care and condition management.
  • Proving Value Is Complex: In what proports to be an evidence-based industry and one that has unfortunately tunnel vision with regards to traditional randomized clinical trials as the outcomes gold standard, the use of strong program evaluation methodologies combined with smart storytelling is more practical, operationally friendly and ultimately compelling in the demonstration of program or product value.

Who Should Attend    

Data scientists, health and fitness app developers, persons involved in clinical trials of medicine and medical devices, and anyone looking at data-driven health outcomes (including costs) or otherwise designing wellness or chronic condition management programs. Patient-clients will ultimately also benefit from a better-designed health experience.

Why Should You Attend

If one of the objectives of your role is to better engage the patient/consumers and their families in the care process personalized and effective way (clinical, functional and economic outcomes) then this webinar is relevant to you.  Whether you are a clinician, education, digital health designer, manager of a clinic, data scientist, pharmaceutical brand manager, specialty pharmacist, or clinical researcher this webinar will be relevant to key parts of your work.

Topic Background    

It now seems commonplace to consider that patients are active participants in their health, health decisions, treatment, and recovery.  Data supports the assumption that people who are more involved tend to make better choices, use healthcare resources more appropriately, and have better outcomes.

Recognition of the elevance of engagement provides few clues as to how to better engage and activate patients as partners in their care. Consequently, there is much dialogue and enterprise strategizing around patient activation, incentives, loyalty, engagement, and optimizing value-based care. Unfortunately, much of this conversation refers to greater involvement of patients in their own care (a worthy goal). However, the challenge in engaging people in their own health (including risk modification, compliance, understanding coverage, etc.) remains elusive.

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