Evidation believes that person-generated health data (PGHD) originating from wearables and sensors has the potential to dramatically improve the way in which diseases are detected and treated. The power lies in the ability of an individual to take action and engage their care team based on the objective signs and symptoms of the disease that they generate through digital technology – sometimes without even their awareness. This can lead to more efficient decision-making and earlier clinical intervention.
Turning this promise into a reality is not straightforward. There is a steep learning curve to avoid the common pitfalls of inaccurate or inconsistent digital data, the lack of data interoperability, and a health system underprepared to absorb vast amounts of new types of data. Successful integration of PGHD into clinical decision-making requires the systems, analytical expertise, and a track record of patient trust built over years of experience.
At Evidation, we are actively making it simpler and more relevant for clinicians to use PGHD by improving signals, adding context around device data and removing noise from the analysis – and have been doing this for years. This can help clinicians make more informed decisions and mitigate clinician distrust, frustration, and fatigue. With robust data, intelligent data analysis, and thoughtful integration into a health system, the promise of individualized and participant co-driven health care is on the horizon. Several recent papers point to how the broader ecosystem is grappling with these questions:
Why do our old definitions of subjective symptoms and objective signs of disease not work in the digital era? How might the integration of digital into health systems revolutionize the health of individuals and populations? Read More.
How can new types of data enable patients to actively engage in the healthcare process and improve the connection to their HCPs, yet risk being the cause of physician burnout? Read More.
How did two large health systems create different digital health interventions that successfully integrated wearables into the clinical workflow and demonstrated superior health outcomes compared to traditional care? Read More.
Digital inclusion as a social determinant of health| npj Digital Medicine
Health data poverty: an assailable barrier to equitable digital health care | The Lancet Digital Health
The playbook: digital clinical measures | Digital Medicine Society (DiMe)
Research: This Asthma Awareness Month, we highlight the pressing need to more clearly identify the differences in symptom control both across and within cohorts of individuals living with asthma. In an Evidation conducted survey with 14,000 participants, we identified real world behaviors and disease impact measures that split based on condition severity and treatment choice. Read more.
Research: How many steps were lost due to the flu in the US in the 2018-2019 flu season? At least 257 billion steps were lost due to influenza-like-illness. These findings reflect significant changes in routines, mobility and employment. Read More.
On-Demand Panel Discussion: By leveraging person-generated health data (PGHD) & HealthVerity’s real world data, Evidation enables organizations to build a holistic view of individuals’ lived experiences in a privacy-compliant manner. The result? Contextualized data and actionable insights for the individual as well as the care team. Watch Now.
Heart Health on Achievement: In collaboration with the American College of Cardiology, Evidation has launched a nationwide initiative focusing on the lived experience of individuals with heart failure to understand their particular needs and sources of value which could improve engagement and outcomes. Over 1000 people with heart failure and other chronic conditions (as of April 2021) from across 48 states and the District of Columbia have agreed to participate. Read More.
Get To Know Your Evidation Team: Meet, Eric J Daza – lead biostatistician on the data science team at Evidation. Read More.