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Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial
J. L. Lee, L. Foschini, S. Kumar, J. Juusola, J. Liska, M. Mercer, C. Tai, R. Buzzetti, M. Clement, X. Cos, L. Ji, N. Kanumilli, D. Kerr, E. Montanya, D. Müller-Wieland, C. G. Ostenson, N. Skolnik, V. Woo, N. Burlet, M. Greenberg & S. I. Samson
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial
J. L. Lee, L. Foschini, S. Kumar, J. Juusola, J. Liska, M. Mercer, C. Tai, R. Buzzetti, M. Clement, X. Cos, L. Ji, N. Kanumilli, D. Kerr, E. Montanya, D. Müller-Wieland, C. G. Ostenson, N. Skolnik, V. Woo, N. Burlet, M. Greenberg & S. I. Samson
Digital intervention increases influenza vaccination rates for people with diabetes in a decentralized randomized trial
Annual influenza vaccination is recommended for people with diabetes, but vaccination rates are suboptimal. This Evidation study aimed to increase influenza vaccination rate in people with self-reported diabetes.
J. L. Lee, L. Foschini, S. Kumar, J. Juusola, J. Liska, M. Mercer, C. Tai, R. Buzzetti, M. Clement, X. Cos, L. Ji, N. Kanumilli, D. Kerr, E. Montanya, D. Müller-Wieland, C. G. Ostenson, N. Skolnik, V. Woo, N. Burlet, M. Greenberg & S. I. Samson

Digital endpoints must meet patient needs
Digital endpoints must meet patient needs
Digital endpoints must meet patient needs
Digital endpoints must meet patient needs
Technological advances are speeding the development of digital measures and endpoints throughout drug development and across therapeutic areas and patient populations. While regulators encourage stakeholders to pursue patient-centric approaches, few actionable guidances or standards exist.

It takes a village: Development of digital measures for computer scientists
It takes a village: Development of digital measures for computer scientists
Goldsack J.C and Clay I
It takes a village: Development of digital measures for computer scientists
Goldsack J.C and Clay I
It takes a village: Development of digital measures for computer scientists
Evidation research reveals a range of challenges and considerations where computer scientists can have a particular impact on the development of a new digital measure.
Goldsack J.C and Clay I

Evidation collaborates with Merck on digital monitoring study for Alzheimer's disease
Evidation collaborates with Merck on digital monitoring study for Alzheimer's disease
Evidation collaborates with Merck on digital monitoring study for Alzheimer's disease

Evidation collaborates with Merck on digital monitoring study for Alzheimer's disease
Evidation announces a collaboration with Merck to detect and monitor the treatment of Alzheimer's Disease.

5 key factors to successfully leveraging person-generated health data
5 key factors to successfully leveraging person-generated health data
5 key factors to successfully leveraging person-generated health data

5 key factors to successfully leveraging person-generated health data
Evidation shares five key factors in leveraging person-generated health data (PGHD) to improve outcomes and care delivery.

Dear watch, should I get a COVID-19 test? Designing deployable machine learning for wearables
Dear watch, should I get a COVID-19 test? Designing deployable machine learning for wearables
Goldenberg A, Nestor B, Hunter J, Kainkaryam R, Drysdale E, Inglis J, Shapiro A, Nagaraj S, Ghassemi M, and Foschini L
Dear watch, should I get a COVID-19 test? Designing deployable machine learning for wearables
Goldenberg A, Nestor B, Hunter J, Kainkaryam R, Drysdale E, Inglis J, Shapiro A, Nagaraj S, Ghassemi M, and Foschini L
Dear watch, should I get a COVID-19 test? Designing deployable machine learning for wearables
Evidation research reveals that using a wearable device can reduce the burden of symptom surveys by 35%.
Goldenberg A, Nestor B, Hunter J, Kainkaryam R, Drysdale E, Inglis J, Shapiro A, Nagaraj S, Ghassemi M, and Foschini L

Evidation + HealthVerity: The holistic patient journey: Fusing real-world data with person-generated health data
Evidation + HealthVerity: The holistic patient journey: Fusing real-world data with person-generated health data
Evidation + HealthVerity: The holistic patient journey: Fusing real-world data with person-generated health data
Evidation + HealthVerity: The holistic patient journey: Fusing real-world data with person-generated health data
Evidation, Pfizer, and HealthVerity discuss how to fuse real-world data (RWD) with person-generated health data (PGHD).

Enabling individuals to act on heart health insights
Enabling individuals to act on heart health insights
Enabling individuals to act on heart health insights

Enabling individuals to act on heart health insights
Evidation brings together industry voices to address how to enable individuals to act on heart health insights.

Reproducibility in machine learning for health research: Still a ways to go
Reproducibility in machine learning for health research: Still a ways to go
McDermott M.B.A, Wang S, Marinsek N, Ranganath R, Foschini L, and Ghassemi M
Reproducibility in machine learning for health research: Still a ways to go
McDermott M.B.A, Wang S, Marinsek N, Ranganath R, Foschini L, and Ghassemi M

Reproducibility in machine learning for health research: Still a ways to go
Evidation research reveals that machine learning for health compared poorly to other areas regarding reproducibility metrics.
McDermott M.B.A, Wang S, Marinsek N, Ranganath R, Foschini L, and Ghassemi M

Evaluation, acceptance, and qualification of digital measures: From proof of concept to endpoint
Evaluation, acceptance, and qualification of digital measures: From proof of concept to endpoint
Goldsack J.C, Dowling A.V, Samuelson D, Patrick-Lake B, and Clay I
Evaluation, acceptance, and qualification of digital measures: From proof of concept to endpoint
Goldsack J.C, Dowling A.V, Samuelson D, Patrick-Lake B, and Clay I
Evaluation, acceptance, and qualification of digital measures: From proof of concept to endpoint
Evidation research details the steps of bringing a successful proof of concept to scale, focusing on key decisions in the development of a new digital measure.
Goldsack J.C, Dowling A.V, Samuelson D, Patrick-Lake B, and Clay I

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