The foundation of our clinical rigor
Proven science drives everything we do. Through rigorous research, we demonstrate how our health technology delivers real results: better patient outcomes, greater value for healthcare systems, and more advanced AI capabilities. Key areas include:
Our AI transforms complex health data into personalized insights and guidance when individuals need it most.
We convert continuous glucose data into personalized guidance that elevates traditional diabetes care standards.
We address interconnected health conditions, turning digital engagement into measurable clinical improvements.
We offer FDA-cleared solutions for T1 and T2 diabetes that simplify treatment while addressing daily health challenges.
A Novel Automated AI Method for Detecting and Classifying CGM Patterns
Welldoc worked with Center for Health Information and Decision Systems, University of Maryland to develop an automated method to detect and classify discernible, self-management events in individuals with diabetes to aid in interpreting CGM data. The study showed that machine learning and signal detection techniques can be applied to accurately detect CGM events giving users and clinicians more insights into interpreting glucose data.
Shiping Liu, Mansur Shomali, Abhimanyu Kumbara, Kenyon Crowley, Michelle Dugas, Anand K. Iyer, Malinda Peeples, Guodong Gao
Consistent Engagement with a Digital Health Solution Enhances the Effect of Medication Changes on Blood Glucose Control
Welldoc and Center for Health Information and Decision Systems, University of Maryland partnered to determine if consistent engagement with a digital health solution promoting healthy behavior enhances the effects of medication changes on blood glucose control. The study showed approximately 77% of consistent users with medication changes had good BP control at month three then less consistent users. Concluding that increased engagement with a digital health solution may amplify the effects of medication changes on BG control.
Shiping Liu, Mansur Shomali, Abhimanyu Kumbara, Kenyon Crowley, Michelle Dugas, Anand K. Iyer, Malinda Peeples, Guodong Gao
Predicting Success with a Diabetes Digital Health Application from Early Usage Data
Digital health applications have the potential to improve overall health status in people with diabetes. This research presents a predictive model that may determine which patients are likely to persist in using the application and which patients will experience improvement in blood glucose using Welldoc's BlueStar® solution.
Maya Mudambi, Kenyon Crowley, Michelle Dugas, Weiguang Wang, Di Hu, Anand K. Iyer, Malinda Peeples, Mansur Shomali, Guodong (Gordon) Gao
Interactive Digital Health: Engaging Healthy Behaviors & Clinical Outcomes
Incorporating smartphone technology into self-management activities for people with type 2 diabetes may improve patient outcomes. This study evaluates the impact of the FDA-cleared One Touch Reveal Plus® app powered by Welldoc's BlueStar® on BG control through a pre-post study of glucose control, participant engagement, and health care utilization and cost.
Kenneth Snow MD; Anand Iyer PhD, David Shearer MD, Malinda Peeples, RN, MS, CDES, FADCES
Meet the Newly Revised AADE7 Self-Care Behaviors® Up Close
The AADE7 Self-Care Behaviors® (AADE7) provides a robust framework for self-management of diabetes and other related conditions. In this poster presented at ADCES 2020, the authors review AADE7 and make recommendations on behavior names.
Malinda Peeples, MS, RN, CDE, FAADE and Carole’ Mensing
A Payer Digital Health Study Shows Scalable Approach to Cost Savings and Outcomes
Health plans must find a scalable solution that reduces healthcare use and costs among those with chronic conditions. This study from Aetna/CVS Health, Welldoc, and LifeScan explores health plan strategies that take advantage of digital health relative to outcomes.
David Shearer, MD, Anand Iyer, PhD, and Malinda Peeples, MS
A Framework for Optimizing Technology-Enabled Diabetes and Cardio-metabolic Care and Education: The Role of the Diabetes Care and Education Specialist
This article published in The Diabetes EDUCATOR presents a framework for optimizing technology-enabled diabetes and cardiometabolic care and education using a standardized approach. The featured approach leverages the expertise of the diabetes care and education specialist, the multiplicity of technologies, and integration with the care team.
Deborah A. Greenwood, PhD, RN, BC-ADM, CDCES, Fran Howell, MBA, DNP, APRN, CDCES, LaurieAnn Scher, MS, RD, CDCES, Gretchen Yousef, MS, RD, CDCES, Joanne Rinker, MS, RDN, CDCES, LDN, Kirsten Yehl, MS, MLIS, Diana Isaacs, PharmD, BCPS, BCACP, CDCES, BC-ADM, and Malinda M. Peeples, MS, RN, CDCES
Improving Diabetes Self-Management with a Mobile App: Preliminary Results of a Pilot Program at a Safety Net Hospital System
For patients with type 2 diabetes, self-management remains a significant challenge. In recent years, the use of digital health technologies for chronic disease management has increased. In this study presented at the ADA 2020 Virtual Conference, patients with uncontrolled type 2 diabetes were analyzed using BlueStar® by Welldoc to determine mean changes in A1c.
Sawkia R. Patterson, MBA; Roopa Kalyanaraman Marcello, MPH; Johanna Dolle, MA; Sharanjit Kaur, MPH; Nichola Davis, MD, MS
From Data to Outcomes: Digital Health & the Role of the Healthcare Provider
For this study presented at the Academy Health Health Datapalooza, the authors presented the Digital Health Engagement Chain as a framework to assess each of the implementation approaches were used. Evaluations included the target population, the outreach modalities, and activation rate for each type of implementation: direct to consumer, a program approach, a healthcare provider (HCP), direct to patient, and a HCP via an electronic medical record (EMR) integration.
Malinda M Peeples, Mansur Shomali, Vinayak Shenoy, and Anand K Iyer
An Effective Model of Diabetes Care and Education – Revising the AADE7 Self-Care Behaviors®
In this position paper from the American Association of Diabetes Educators (AADE), the authors evaluate the AADE7 within the framework of the advances in diabetes management as well as in diabetes self-management education and support.
Carolé Mensing, RN, MA, CDE, FAADE; Donna Tomky, MSN, RN, C-NP, CDE, FAADE; Lois Moss-Barnwell, MS, RD, LDN, CDE; Malinda Peeples, RN, MS, CDE, FAADE; et al.
Enhancing Mobile Health to Achieve Both Hypertension and Diabetes Goals
Meeting goals for hypertension, a common co-morbidity with Type 2 diabetes (T2D), can be a challenge. In this study, data from patients with T2D who activated BlueStar® by Welldoc were analyzed as a way to illustrate the potential for digital solutions to support patients for both type 2 diabetes and blood pressure.
Malinda Peeples, Vinayak Shenoy, Richard Katz, and Mansur Shomali
Contextual Annotations Predict Digital Health Solution Persistence and Diabetes Outcomes
The purpose of this research, presented at the Diabetes Technology Society, was to explore how patients use annotation features, the relationship between annotations and persistent engagement, and diabetes outcomes through patient-generated annotations.
M. Dugas, K. Crowley, W. Wang, A. K. Iyer, M. Peeples, M. Shomali, and G. Gao
Beyond Tracking: The Benefits of Contextual Annotation in a Diabetes Digital Therapeutic
Digital therapeutics can help patients manage chronic conditions by leveraging structured data like blood glucose, diet, and medication adherence, as well as unstructured data. The purpose of this study, presented at an American Diabetes Association session, was to develop a lexicon to characterize annotations made by patients using Welldoc's BlueStar® solution.
W. Wang, K. Crowley, M. Dugas, A. K. Iyer, M. Peeples, M. Shomali, and G. Gao
Early Engagement Measures Can Accurately Identify Users at Risk of Abandoning Digital Therapeutics
The purpose of this research study was to develop a predictive model of digital health persistence and explore important factors in identifying those who are likely to abandon a digital therapeutic.
W. Wang, K. Crowley, M. Dugas, A. K. Iyer, M. Peeples, M. Shomali, and G. Gao
A Novel Approach to Assess Patient Burden Using Data from a Digital Therapeutic for Type 2 Diabetes Predicts Glucose Outcomes
Digital therapeutics can help patients manage chronic conditions while presenting opportunities to assess and possibly alleviate certain treatment burdens. The purpose of this study, presented at the American Psychological Association, was to determine how digital therapeutics can assess patient burden associated with diabetes outcomes.
M. Dugas, W. Wang, K. Crowley, A. K. Iyer, M. Peeples, M. Shomali, and G. Gao
Technology to Overcome Therapeutic Inertia
In this issue of mHealth, the co-authors analyze the factors for why therapeutic inertia exists among those people battling Type 2 diabetes. The technology-enabled self-management feedback loop is presented as a more granular way to design studies to include technology interventions.
Deborah A. Greenwood, Malinda Peeples
Determinants of Engagement in Digital Health: What Makes it Stick?
Unveiled at the 2018 Diabetes Technology Meeting, the co-authors presented results of a study conducted on the determinants of digital health engagement among patients of a primary care clinic in Boston, MA. The authors sought to systematically assess patient characteristics that influence uptake or attrition.
Daniel Henderson, MD, MPH, Malinda Peeples, RN, MS, CDE, FAADE, Janice Macleod, MA, RDN, LDN, CDE, FAADE, Vinayak Shenoy, Stephen Lynch, and Mansur Shomali, MD, CM
Expanding Reach: AADE7® Moves into the Digital Space
Catherine Brown, MS, RD, CDE, Carrie Swift, MS, RD, BC-ADM, CDE, Malinda Peeples, MS, RN, CDE, FAADE
Patient-Generated Health Data Enhance Clinical Care for People with T2D Using a Digital Health Tool
Optimal management of people with Type 2 diabetes often requires collaboration among healthcare providers and educators. This study, presented at the Association of Diabetes Care & Education Specialists annual event, demonstrates how patient-generated health data enhances clinicians' ability to modify treatment plans.
Malinda Peeples, RN, MS, CDE, Janice Macleod, MA, RDN, LDN, CDE, and Mansur Shomali, MD, CM
Integrating The 2017 National Standards For Diabetes Self-Management Education And Support Into A Technology-Enabled Population Health Diabetes Care And Education Framework
Janice MacLeod, MA, RD, CDE, FAADE, Deborah A. Greenwood, PhD, RN, BC-ADM, CDE, FAADE
Estimating the Economic Value of a Digital Therapeutic in Type 2 Diabetes
Truven Health Analytics, part of IBM Watson Health, conducted an analysis of commercial and Medicare consumers within the MarketScan databases for Welldoc. The research findings show Welldoc's ability to help lower and control A1C and generate savings per user per month.
IBM Watson Health.
Diabetes Digital Health Learning Network (DDHLN): Educators Designing the Future
Welldoc worked with ADCES (formerly AADE) to launch the Diabetes Digital Health Learning Network (DDHLN) to virtual way to introduce a novel technology to educators and people with diabetes. The DDLHN participants used the digital tool, Welldoc’s BlueStar®. After 6 months, a quantitative and qualitative evaluation was conducted. Educators responded to an on-line survey that assessed communication methods, experience with digital tool implementation, and practice issues.
The DDHLN methodology is an extremely valuable way to introduce new technology and assess what support is needed for patient and educator engagement. Recruitment of self-identified, innovative educators representing diverse practice settings and geographic distribution is essential for creating an optimal learning environment. The use of a specific tool, a digital therapeutic, allows for rapid implementation and evaluation. Lessons learned from this DDHLN are being generalized to develop best practices for evidencebased, technology-enabled, clinically linked, population approach to chronic care services .
Malinda Peeples, MS, RN, CDE, FAADE, Janice Macleod MA, RDN, CDE, FAADE, Joanne Rinker MS, RD, CDE, LDN, FAADE
Implementation Strategy for a Digital Health Tool Influences User Engagement
Published by the American Diabetes Association publication, this study by Welldoc authors examined the company's BlueStar® used in three different models: a healthcare provider model, a diabetes educator model and a health plan model to demonstrate how the implementation strategy has the potential to influence user engagement and outcomes.
Mansur E. Shomali, Janice MacLeod, and Malinda M. Peeples
A Novel Economic Analysis Applied to Innovative Diabetes Digital Health Intervention Demonstrates Significant Financial Benefits
Mansur E. Shomali, Anand K. Iyer, Brian T. Griffin, and Malinda M. Peeples
A Mobile App to Improve Self-Management of Individuals With Type 2 Diabetes: Qualitative Realist Evaluation
In this study from the Journal of Medical Internet Research, a Web-based solution was evaluated for improving self-management in type 2 diabetes (T2DM) patients. The study aims to identify key combinations of contextual variables and mechanisms of action that explain for whom the solution worked best and in what circumstances.
Laura Desveaux, PT, PhD; James Shaw, PT, PhD; Marianne Saragosa, RN, MN; Charlene Soobiah, HBSc; Husayn Marani, MSc; Jennifer Hensel, MSc, MD; Payal Agarwal, BASc, MD; Nike Onabajo, PMP, MSc; R Sacha Bhatia, MBA, MD; Lianne Jeffs, RN, MSc, PhD
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