With the expanding market of biometric devices, selecting the right tools for research studies can be challenging. In this article, we provide guidance to healthcare researchers on selecting biometric devices, considering factors such as cost, provisioning process, battery life, user experience, device family, accuracy, and reliability.
Heart Failure CONNECT-HF Study Used Pattern Health App to Study Medication Adherence, Quality-of-Care Scores
The Duke Clinical Research Institute study was the first to incorporate mobile health technology to follow heart failure patients long-term. The study showed that using patients’ biometric information and medication adherence data can help customize guideline-based recommendations to improve self-care....
Demystifying Digital Health Research Jargon
When working with researchers and clinicians to design trials that include digital elements, it's important to speak the same language. Just as clinical lingo must be precise so that everyone understands its meaning, adding digital elements to a clinical trial...
Pattern Adds Withings Integration to Expand Real-World Data (RWD) Collection Options
Pattern’s digital health platform now offers out-of-the-box integration with Withings’ Health Mate app. This integration makes it easier than ever for researchers to include fan-favorite biometric devices in their research studies such as the ScanWatch (hybrid smartwatch with ECG, heartrate,...
Study Incentives Drawing the Wrong Crowd?
How to incentivize study participation while avoiding fraud. It's a Catch-22. Research studies often pay participants for their time and involvement, but that payment can be a magnet, attracting people who don't actually qualify. Without the proper controls in place,...
Step Up: A Behavioral Pain Management mHealth Intervention Powered by Pattern
Step Up is an intervention that pairs psychosocial symptom management and activity coaching for patients with cancer who have undergone stem cell transplants. Following transplant, patients are deconditioned and struggle to engage in physical activity. In addition to significant physical...
UC Davis GROWell Case Study: Digital Intervention & Virtual Trial
UC Davis’ GROWell Intervention & Virtual Trial Powered by Pattern Health Study Details GROWell is a study designed to learn whether a mobile health program can help women to have healthy pregnancies and return to pre-pregnancy health after giving...
Pattern’s Digital Health Platform Expands to Power EHR-Integrated Clinical Decision Support Tools
Durham, NC, December 17, 2021 - Pattern Health accelerates digital health innovation from research to real-world impact. We partner with leading researchers and clinical innovators to develop impactful digital health programs. We have supported projects such as a home based...
Virtual Pets Motivate & Improve Outcomes
Another call to customer service comes in. “Please,” the patient begs, “Please help me get into the app. I haven’t seen Timmy in 3 days!” She goes on to explain how she doesn’t want to let him down, and we...
Custom App Development Vs. No-Code Apps: When to Use And Why?
When a healthcare system or pharmaceutical company wants to create a digital health tool, whether a mobile health patient app, clinical decision-making tool, or a remote patient monitoring system to collect research data from wearables or remote sensors, often the...
iTransition Digital Health Spotlight: Bridging the Gap Between Pediatric and Adult Care
The Digital Health Spotlight Series is a collection of interviews with study teams who have partnered with us to design innovative digital health interventions. In this series, we get a first-hand look at the hard work and accomplishments of these...
Supporting Remote Patient Monitoring in the “New Normal”
Pattern Health Expands Capabilities to Further Support a Wide Range of Use Cases While digital health, telemedicine, and remote patient monitoring (RPM) have made great strides over the past several years, in-person visits with healthcare providers and researchers remained the...