We’re excited to unveil our latest enhancement to PicnicHealth Run—an innovative suite of study management tools designed to ensure the seamless execution of end-to-end studies. As part of this suite, we are proud to introduce the Sponsor Dashboard, a powerful new feature of the Sponsor Portal that gives research study sponsors unparalleled real-time insights into study details and progress, all in one place.

Site-based approaches to observational research can be burdensome, time-consuming, and costly for sponsors, patients, and site staff. To address these challenges, we’re excited to introduce the PicnicHealth Virtual Site.

For the past decade, PicnicHealth has been dedicated to giving you control of your health by providing access to your complete medical records. We’ve had the privilege of working with tens of thousands of patients, most of whom live with chronic diseases, and through countless conversations, one thing has become crystal clear: managing complex care journeys is a huge challenge. Between juggling multiple specialists and keeping track of different treatment plans, it’s easy to feel both overwhelmed and that no single doctor sees the full picture.

PicnicHealth announces the launch of its Clinical Services, featuring a Virtual Clinic for patients and a Virtual Site for life sciences companies. These services, which are supported by a team of PicnicHealth’s in-house providers, have been designed to enhance care management for patients and drive more efficient observational research for life sciences companies. This launch marks a major step in the company’s mission to simplify healthcare for everyone.

PicnicHealth provides life science companies with better and more comprehensive patient journey insights for informed decision making in observational research studies. Check out this fact sheet to learn more about our Universal Patient Record and how it enhances evidence generation for better results for our sponsors.

Observational studies are instrumental in learning about the natural history of diseases and the impact of treatments on patients in real-world settings. These studies are more impactful and generalizable when they incorporate: 1) deep clinical phenotypic and outcome data, not just administrative-coded data; 2) a diverse group of participants, not just patients at a small number of academic sites; and 3) comprehensive data from across the patient journey not limited to a single clinic, hospital, or healthcare system.

Originally piloted 15 years ago and more recently catalyzed by the COVID-19 pandemic, DCTs took center stage in 2020 and 2021—mostly out of necessity, but with great promise for their potential to dramatically improve patient access, enrollment, trial speed, data quality, and population representation. Now, in the third quarter of 2024, the market landscape looks less rosy than the earliest depictions.

Check our our latest features including AI highlights and blurbs to help you understand your medical records.

Medical Affairs & the Real World: How PicnicHealth's model is providing a unified view of patient care and simplifying observational research

AI is changing how biopharma companies clean, organize, structure, and abstract information at a much faster speed and greater scale than a person or team of people ever could. We can now gather and curate data more efficiently and complete manual, tedious tasks easier to unlock new insights.

Today, PicnicHealth, a company dedicated to simplifying observational research, announces the appointment of Jennifer Stacey as Chief Delivery Officer. In this role, Stacey will oversee the end-to-end delivery of observational studies conducted on the PicnicHealth platform to accelerate customer success and drive innovation in the healthcare industry.

Earlier this year, the FDA published a guidance document titled “Real-World Evidence: Considerations Regarding Non-Interventional Studies for Drug and Biological Products”, that provides study design and analysis recommendations to sponsors looking to use real-world data (RWD) in observational research. This guidance, which emphasizes the potential for real-world evidence (RWE) to meet regulatory standards for evidence generation, underscores the FDA's recognition of RWE as a valuable component in drug and biological product evaluation.

Real-world medical records quickly break common assumptions used to develop AI techniques in academic settings, and it’s these real-world issues that make our job difficult and interesting. They’re also the reason that “pretty good on a benchmark” has never translated into a great solution for the tasks we train on.

PicnicHealth’s AI strategy is focused on building personal medical AI that helps patients get better care and, through our research-focused products, eventually better therapeutic options. To do this, our approach to large language model (LLM) development introduces a distinctive dimension – we bring generalized medical knowledge together with a detailed understanding of a patient’s own medical journey by interpreting their records.

Today, PicnicHealth announces PicnicAI, the groundbreaking technology that unlocks the Universal Patient Record. PicnicAI collects medical records from everywhere in the U.S. and transforms them into meaningful data for patients and researchers. It is powered by a proprietary, industry-leading LLM that outperforms GPT-4 and healthcare industry-specific models in accuracy, efficiency, and cost on tasks that involve structuring or understanding medical records. ‍

This week PicnicHealth unveiled PicnicAI, an AI-driven platform designed to rapidly unlock universal medical records and deliver accurate insights for patients and life science companies.

Recruitment is essential for generating data on drug efficacy, which is crucial for the approval of new medical treatments. Clinical trial success hinges on the ability to recruit a sufficient and appropriate number of participants.

PicnicHealth is simplifying observational research by combining a direct-to-patient approach, industry-leading AI and technology, and world-class clinical expertise to capture the patient experience in an unprecedented level of detail.

As stakeholders increasingly seek more robust evidence from registries and observational studies, researchers must adopt innovative methods for generating data. Previously restricted by outdated study models, evidence generation can now be more efficient and flexible through the use of cutting-edge technologies, including artificial intelligence. New technology-driven methods frees life science companies from historical constraints, enabling a deeper understanding of the course of disease, drug effectiveness, safety, and quality of life (QoL).

As the life sciences landscape continues to evolve rapidly, the ability to conduct highly efficient yet deeply insightful and reliable research is crucial. PicnicHealth Pulse is specifically designed to address the shortcomings of traditional observational study approaches

PicnicHealth launched its life science product today to enable high-quality, low-burden research for life sciences companies and patients.

PicnicHealth today announced it was ranked among the World’s Best Digital Health Companies by Newsweek and named the “Best MedTech Startup” by MedTech Breakthrough.

Nancy Dreyer, PhD, MPH, FISE, chief scientific advisor to Picnic Health, shares some of the ways that direct-to-patient approaches have improved observational research.

AI allows patients, doctors, and payers to make informed decisions based on evidence at a much faster pace.

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