Reports

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44% of respondents track some aspect of their health digitally

Digital Health Consumer Adoption Report 2019

Rock Health and the Stanford Center for Digital Health release their findings from the 2019 Consumer Adoption Survey. In 2019, overall consumer adoption of digital health leveled off near the 2018 high water mark. The five-year picture represented in our annual survey is one of a steady transition to a progressively more digital consumer healthcare experience.

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Strategies and tactics for digital-savvy healthcare leaders

Building Pharma-Digital Therapeutic Alliances

Digital therapeutic and pharmaceutical companies are partnering to build, validate, and expand access to new, software-based solutions that improve patient outcomes. This is new territory with few precedents, and the strategies for building successful alliances remain uncertain. Drawing from numerous interviews with digital therapeutic, pharma, and health plan leaders, this research outlines how to overcome execution risks and build successful pharma-digital therapeutic alliances.

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Is technology what's missing from addiction treatment?

Going digital to disrupt the addiction epidemic

With America's addiction epidemic taking a devastating toll on lives and communities, technology-based startups are offering a new path forward. These solutions focus on providing evidence-based, continuous, and accessible experiences for individuals living with an addiction. To understand how digital offerings are driving real value to patients, we interviewed six startups.

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Five key findings about the next generation of payers and providers

Next-generation payers and providers: Setting a strategy for tech-enabled innovation

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.

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121 AI/ML digital health companies have raised a total of $2.7B, with 206 deals from 2011 through 2017

The AI/ML use cases investors are betting on in healthcare

Last month, we released our whitepaper, Demystifying AI and Machine Learning in Healthcare. In this latest blog post, you’ll learn how venture funding gives us a glimpse into the AI/ML use cases taking hold now—and those areas that aren’t ripe yet. ICYMI: Our first post established a framework to understand the algorithms underpinning AI to allow stakeholders to more readily identify true breakthrough innovation.

Report

A guide for business leaders, innovators, and deal makers

Demystifying AI and Machine Learning in Healthcare

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.

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70% of digital health pilots converted to paying customers

Streamlining Enterprise Sales in Digital Health

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.

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90% of consumers want to be in control of their genetic data

The Genomics Inflection Point: Implications for Healthcare

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.

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Will digital biomarkers help us better understand health and disease?

The Emerging Influence of Digital Biomarkers on Healthcare

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.

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