Results from our third national consumer survey (2017 data) on digital health adoption and sentiments.
To capitalize on the shift to value-based care and consumer demand for a better healthcare experience, a new type of business has emerged: next-generation payers and providers (“NGPPs”). Without the constraints of legacy payment models and operating systems, these companies were created to deliver a reimagined service to patients, prioritizing health and outcomes over utilization. We interviewed five NGPPs to understand their technology-supported strategies, with a focus on how they’ve partnered with startups and how they expect to keep pace with future innovation.
AI in healthcare feels inevitable: Optimists predict that artificial intelligence and machine learning (AI/ML) will diagnose disease better and earlier, treat illness more precisely, and engage patients more efficiently than today’s healthcare system does. On top of this, AI/ML is expected to streamline business operations and restore sanity (and humanity) to the clinician experience. To separate hype from reality, read our 50-page white paper, Demystifying AI and Machine Learning in Healthcare.
For digital health startups, it’s increasingly a B2B world—and innovators are acutely feeling the challenges of enterprise sales. Selling to payers, providers, biopharma companies, and others is a tough game across the board. Sales cycles are long, requiring patience and a knack for relationship building. Finding the right buyer in a big organization can be disorienting. And crafting the pitch is tricky when talking to a complex, multi-faceted enterprise customer.
Results from our 2016 digital health consumer adoption survey.
The genomics industry has tremendous potential to move the needle in health. Delivering on the promise of genomics depends on three main factors—many of which are within the purview of digital health. Through our survey of one thousand consumers, we provide novel data and insights regarding adoption, willingness to pay for specific use cases, and explore concerns around privacy and ownership.
In healthcare, big data is only valuable when paired with a strong body of clinical evidence. Digital biomarkers are an opportunity to translate new data sources into informative, actionable insights.
Results from our landmark national survey on the adoption trends in digital health.
A look at the challenges and promises of using new and existing sources of data to deliver personalized care.
A review of the current landscape and future of biosensing wearables.