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Flu@home: The comparative accuracy of an at-home influenza rapid diagnostic test, using a pre-positioned test kit, mobile app, mail-in reference sample, and symptom-based testing trigger
Flu@home: The comparative accuracy of an at-home influenza rapid diagnostic test, using a pre-positioned test kit, mobile app, mail-in reference sample, and symptom-based testing trigger
Kotnik J, Cooper S, Smedinghoff S, Gade P, Scherer K, Maier M, Juusola J, Ramirez E, Naraghi-Arani P, Lyon V, Lutz B, Thompson M
Flu@home: The comparative accuracy of an at-home influenza rapid diagnostic test, using a pre-positioned test kit, mobile app, mail-in reference sample, and symptom-based testing trigger
Kotnik J, Cooper S, Smedinghoff S, Gade P, Scherer K, Maier M, Juusola J, Ramirez E, Naraghi-Arani P, Lyon V, Lutz B, Thompson M
Flu@home: The comparative accuracy of an at-home influenza rapid diagnostic test, using a pre-positioned test kit, mobile app, mail-in reference sample, and symptom-based testing trigger
Evidation research reveals that app-supported, pre-positioned at-home RDT kits using symptom-based triggers are effective in getting diagnostics into at-home settings.
Kotnik J, Cooper S, Smedinghoff S, Gade P, Scherer K, Maier M, Juusola J, Ramirez E, Naraghi-Arani P, Lyon V, Lutz B, Thompson M

Five-step action plan to implement your PGHD strategy: Leveraging person-generated health data (PGHD) to deliver actionable insights
Five-step action plan to implement your PGHD strategy: Leveraging person-generated health data (PGHD) to deliver actionable insights
Five-step action plan to implement your PGHD strategy: Leveraging person-generated health data (PGHD) to deliver actionable insights

Five-step action plan to implement your PGHD strategy: Leveraging person-generated health data (PGHD) to deliver actionable insights
Evidation has written a report that describes and expands on five key takeaways for organizations seeking to implement the use of person-generated health data (PGHD).

Evidation extends collaboration with Sanofi to develop and apply real-world evidence
Evidation extends collaboration with Sanofi to develop and apply real-world evidence
Evidation extends collaboration with Sanofi to develop and apply real-world evidence

Evidation extends collaboration with Sanofi to develop and apply real-world evidence
Evidation announces its extension to collaborate with Sanofi in co-developing unique datasets to understand health in everyday life.

A prospective real-world study exploring associations between passively collected tracker data and headache burden among individuals with tension-type headache and migraine
A prospective real-world study exploring associations between passively collected tracker data and headache burden among individuals with tension-type headache and migraine
Christian J. Cerrada, Jae S. Min, Luminita Constantin, Simon Hitier, Iva Igracki Turudic, Caroline Amand-Bourdon, Andrew Stewart, Caty Ebel-Bitoun & Peter J. Goadsby
A prospective real-world study exploring associations between passively collected tracker data and headache burden among individuals with tension-type headache and migraine
Christian J. Cerrada, Jae S. Min, Luminita Constantin, Simon Hitier, Iva Igracki Turudic, Caroline Amand-Bourdon, Andrew Stewart, Caty Ebel-Bitoun & Peter J. Goadsby
A prospective real-world study exploring associations between passively collected tracker data and headache burden among individuals with tension-type headache and migraine
Evidation research adds to existing evidence that activity trackers can be used to quantify headache burden in real-world settings and aid in understanding symptom management.
Christian J. Cerrada, Jae S. Min, Luminita Constantin, Simon Hitier, Iva Igracki Turudic, Caroline Amand-Bourdon, Andrew Stewart, Caty Ebel-Bitoun & Peter J. Goadsby

Michael J. Fox Foundation partners with Evidation to expand Parkinson’s Progression Markers Initiative to enroll 100,000 participants online
Michael J. Fox Foundation partners with Evidation to expand Parkinson’s Progression Markers Initiative to enroll 100,000 participants online
Michael J. Fox Foundation partners with Evidation to expand Parkinson’s Progression Markers Initiative to enroll 100,000 participants online

Michael J. Fox Foundation partners with Evidation to expand Parkinson’s Progression Markers Initiative to enroll 100,000 participants online
Evidation and The Michael J. Fox Foundation announce a partnership in expanding the Parkinson's Progression Markers Initiative to enroll 100,000 more participants.

Translating PGHD into measures that matter
Translating PGHD into measures that matter
Translating PGHD into measures that matter

Translating PGHD into measures that matter
Evidation provides key highlights from its "Translating PGHD into Measures that Matter" webinar.

Heart Health on Evidation
Heart Health on Evidation
Heart Health on Evidation
Heart Health on Evidation
In collaboration with the American College of Cardiology (ACC), Evidation is conducting a nationwide initiative focusing on the lived experience of individuals with heart failure beyond the clinic walls.

AI: Leveraging wearables and other patient-generated data in research
AI: Leveraging wearables and other patient-generated data in research
AI: Leveraging wearables and other patient-generated data in research
AI: Leveraging wearables and other patient-generated data in research
Evidation co-founder and chief data scientist, Luca Foschini, discusses how patient-generated health data (PGHD) and artificial intelligence (AI) are advancing clinical studies for biotech and pharmaceutical companies.

Sensor data integration: A new cross-industry collaboration to articulate value, define needs, and advance a framework for best practices
Sensor data integration: A new cross-industry collaboration to articulate value, define needs, and advance a framework for best practices
Clay I, Angelopoulos C, Bailey A.L., Blocker A, Carini S, Carvajal R, Drummond D, McManus K.F., Oakley-Girvan I, Patel K.B., Szepietowski P, and Goldsack J.C.
Sensor data integration: A new cross-industry collaboration to articulate value, define needs, and advance a framework for best practices
Clay I, Angelopoulos C, Bailey A.L., Blocker A, Carini S, Carvajal R, Drummond D, McManus K.F., Oakley-Girvan I, Patel K.B., Szepietowski P, and Goldsack J.C.
Sensor data integration: A new cross-industry collaboration to articulate value, define needs, and advance a framework for best practices
Evidation research reveals that to achieve real impact on patient lives, sensor data needs to be integrated and contextualized with many other data types.
Clay I, Angelopoulos C, Bailey A.L., Blocker A, Carini S, Carvajal R, Drummond D, McManus K.F., Oakley-Girvan I, Patel K.B., Szepietowski P, and Goldsack J.C.

An alternative to the ‘light touch’ digital health remote study: The stress and recovery in frontline COVID-19 healthcare workers study
An alternative to the ‘light touch’ digital health remote study: The stress and recovery in frontline COVID-19 healthcare workers study
Goodday M.S, Karlin E, Alfarano A, Brooks A, Chapman C, Desille R, Karlin D.R, Emami H, Woods N, Boch A, Foschini L, Wildman M, Cormack F, Taptiklis N, Pratap A, Ghassemi M, Goldenberg A, Nagaraj S, Walsh E, and Friend S
An alternative to the ‘light touch’ digital health remote study: The stress and recovery in frontline COVID-19 healthcare workers study
Goodday M.S, Karlin E, Alfarano A, Brooks A, Chapman C, Desille R, Karlin D.R, Emami H, Woods N, Boch A, Foschini L, Wildman M, Cormack F, Taptiklis N, Pratap A, Ghassemi M, Goldenberg A, Nagaraj S, Walsh E, and Friend S
An alternative to the ‘light touch’ digital health remote study: The stress and recovery in frontline COVID-19 healthcare workers study
Evidation research found evidence for feasibility and acceptability of a participant-centric digital health study approach that involved building trust with participants and providing support through regular phone check-ins.
Goodday M.S, Karlin E, Alfarano A, Brooks A, Chapman C, Desille R, Karlin D.R, Emami H, Woods N, Boch A, Foschini L, Wildman M, Cormack F, Taptiklis N, Pratap A, Ghassemi M, Goldenberg A, Nagaraj S, Walsh E, and Friend S

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