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Digital measures that matter to patients: A framework to guide the selection and development of digital measures of health
Digital measures that matter to patients: A framework to guide the selection and development of digital measures of health
Manta C, Patrick-Lake B, Goldsack J.C.
Digital measures that matter to patients: A framework to guide the selection and development of digital measures of health
Manta C, Patrick-Lake B, Goldsack J.C.
Digital measures that matter to patients: A framework to guide the selection and development of digital measures of health
Evidation synthesizes and defines a sequential framework of core principles for selecting and developing measurements in research and clinical care that are meaningful for patients.
Manta C, Patrick-Lake B, Goldsack J.C.

Development and application of a patient group engagement prioritization tool for use in medical product development
Development and application of a patient group engagement prioritization tool for use in medical product development
Perry B, Dombeck C, Smalley JB, Levitan B, Leventhal D, Patrick-Lake B, Brennan L, McKenna K, Hallinan Z, Corneli A
Development and application of a patient group engagement prioritization tool for use in medical product development
Perry B, Dombeck C, Smalley JB, Levitan B, Leventhal D, Patrick-Lake B, Brennan L, McKenna K, Hallinan Z, Corneli A
Development and application of a patient group engagement prioritization tool for use in medical product development
Evidation research reveals that engagement activities can enhance the quality and efficiency of clinical trials by improving patient recruitment and retention, reduce costs, and help trials meet expectations of regulators and payers.
Perry B, Dombeck C, Smalley JB, Levitan B, Leventhal D, Patrick-Lake B, Brennan L, McKenna K, Hallinan Z, Corneli A

Evidation study validates key outcomes for Omada diabetes program
Evidation study validates key outcomes for Omada diabetes program
Evidation study validates key outcomes for Omada diabetes program

Evidation study validates key outcomes for Omada diabetes program
Evidation and Omada Health release the results of a clinical study on diabetes management program.

Comparison of study samples recruited with virtual versus traditional recruitment methods
Comparison of study samples recruited with virtual versus traditional recruitment methods
Heidi Moseson, Shefali Kumar, Jessie L. Juusola
Comparison of study samples recruited with virtual versus traditional recruitment methods
Heidi Moseson, Shefali Kumar, Jessie L. Juusola
Comparison of study samples recruited with virtual versus traditional recruitment methods
Evidation research reveals that virtual recruitment may enhance efficiency and enable more individuals to participate in clinical research.
Heidi Moseson, Shefali Kumar, Jessie L. Juusola

Evidation, USC and Rand awarded NIH R01 Research Project grant to develop a representative digital health dataset and novel data science methods
Evidation, USC and Rand awarded NIH R01 Research Project grant to develop a representative digital health dataset and novel data science methods
Evidation, USC and Rand awarded NIH R01 Research Project grant to develop a representative digital health dataset and novel data science methods

Evidation, USC and Rand awarded NIH R01 Research Project grant to develop a representative digital health dataset and novel data science methods
Evidation, USC, and RAND announce a partnership to create a nationally representative digital health dataset, dubbed American Life in Real-time (ALiR).

Design, recruitment, and baseline characteristics of a virtual 1-year mental health study on behavioral data and health outcomes: Observational study
Design, recruitment, and baseline characteristics of a virtual 1-year mental health study on behavioral data and health outcomes: Observational study
Kumar S, Tran JLA, Ramirez E, Lee W, Foschini L, Juusola J
Design, recruitment, and baseline characteristics of a virtual 1-year mental health study on behavioral data and health outcomes: Observational study
Kumar S, Tran JLA, Ramirez E, Lee W, Foschini L, Juusola J
Design, recruitment, and baseline characteristics of a virtual 1-year mental health study on behavioral data and health outcomes: Observational study
Evidation's baseline analysis found that some passively tracked behavioral traits are associated with more severe forms of anxiety or depression.
Kumar S, Tran JLA, Ramirez E, Lee W, Foschini L, Juusola J

Remote digital monitoring for medical product development
Remote digital monitoring for medical product development
Izmailova ES, Wagner JA, Ammour N, Amondikar N, Bell-Vlasov A, Berman S, Bloomfield D, Brady LS, Cai X, Calle RA, Campbell M, Cerreta F, Clay I, Foschini L, Furlong P, Goldel R, Goldsack JS, Groenen P, Folarin A, Heemskerk J, Honig P, Hotopf M, Kamphaus T, Karlin DR, Leptak C, Liu Q, Manji H, Mather RJ, Menetski JP, Narayan VA, Papadopoulos E, Patel B, Patrick-Lake B, Podichetty JT, Pratap A, Servais L, Stephenson D, Tenaerts P, Tromberg B, Usdin S, Vasudevan S, Zipunnikov V, Hoffmann SC
Remote digital monitoring for medical product development
Izmailova ES, Wagner JA, Ammour N, Amondikar N, Bell-Vlasov A, Berman S, Bloomfield D, Brady LS, Cai X, Calle RA, Campbell M, Cerreta F, Clay I, Foschini L, Furlong P, Goldel R, Goldsack JS, Groenen P, Folarin A, Heemskerk J, Honig P, Hotopf M, Kamphaus T, Karlin DR, Leptak C, Liu Q, Manji H, Mather RJ, Menetski JP, Narayan VA, Papadopoulos E, Patel B, Patrick-Lake B, Podichetty JT, Pratap A, Servais L, Stephenson D, Tenaerts P, Tromberg B, Usdin S, Vasudevan S, Zipunnikov V, Hoffmann SC
Remote digital monitoring for medical product development
Evidation research concludes that digital monitoring data need to be integrated with the totality of the data in clinical trials to create a holistic picture of the health care of the future.
Izmailova ES, Wagner JA, Ammour N, Amondikar N, Bell-Vlasov A, Berman S, Bloomfield D, Brady LS, Cai X, Calle RA, Campbell M, Cerreta F, Clay I, Foschini L, Furlong P, Goldel R, Goldsack JS, Groenen P, Folarin A, Heemskerk J, Honig P, Hotopf M, Kamphaus T, Karlin DR, Leptak C, Liu Q, Manji H, Mather RJ, Menetski JP, Narayan VA, Papadopoulos E, Patel B, Patrick-Lake B, Podichetty JT, Pratap A, Servais L, Stephenson D, Tenaerts P, Tromberg B, Usdin S, Vasudevan S, Zipunnikov V, Hoffmann SC

Evidation raises $45 million Series D, hires CCO to accelerate commercial momentum and expand into virtual health
Evidation raises $45 million Series D, hires CCO to accelerate commercial momentum and expand into virtual health
Evidation raises $45 million Series D, hires CCO to accelerate commercial momentum and expand into virtual health

Evidation raises $45 million Series D, hires CCO to accelerate commercial momentum and expand into virtual health
Evidation announces the close of a $45 million Series D funding round and the addition of Sam Marwaha as CCO.

The accuracy of self-reported blood pressure in the Medication Adherence Improvement Support App for Engagement–Blood Pressure (MedISAFE-BP) trial: Implications for pragmatic trials
The accuracy of self-reported blood pressure in the Medication Adherence Improvement Support App for Engagement–Blood Pressure (MedISAFE-BP) trial: Implications for pragmatic trials
Haff N, Lauffenburger JC, Morawski K, Ghazinouri R, Noor N, Kumar S, Juusola J, Choudhry NK
The accuracy of self-reported blood pressure in the Medication Adherence Improvement Support App for Engagement–Blood Pressure (MedISAFE-BP) trial: Implications for pragmatic trials
Haff N, Lauffenburger JC, Morawski K, Ghazinouri R, Noor N, Kumar S, Juusola J, Choudhry NK
The accuracy of self-reported blood pressure in the Medication Adherence Improvement Support App for Engagement–Blood Pressure (MedISAFE-BP) trial: Implications for pragmatic trials
Evidation research reveals no patients could be identified for whom self-reported hypertension would be a reliable method for their inclusion in a pragmatic trial.
Haff N, Lauffenburger JC, Morawski K, Ghazinouri R, Noor N, Kumar S, Juusola J, Choudhry NK

Evidation Health and BARDA partner on early warning system for COVID-19
Evidation Health and BARDA partner on early warning system for COVID-19
Evidation Health and BARDA partner on early warning system for COVID-19

Evidation Health and BARDA partner on early warning system for COVID-19
Evidation announces a new effort, funded by BARDA, to detect COVID-19 symptoms via an early warning algorithm.

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