Understand the role that AI and observational research should play in modernizing research, with Noga Leviner, Co-founder and CEO of PicnicHealth.

Marc’s journey with CAH shows his strength, family support, and how he overcomes challenges every day.

Hear from a research expert about his modern approach to clinical trials, incorporating truly patient-centric measures and modern tools for trial success.

PicnicHealth combines a direct-to-patient approach, industry-leading technology, and world-class clinical expertise to help life sciences companies meet study endpoints faster and with full transparency. See how we’ve modernized our approach to observational research, and how we are simplifying research for our sponsors.

PicnicHealth experts will showcase cutting-edge AI solutions and strategies for observational research at key industry events this fall. Presentations will cover AI-enabled data abstraction, diverse population recruitment, and improving real-world data collection.

Today, PicnicHealth released a preprint on LLMD, its state of the art medical large language model (LLM). LLMD achieves human-level accuracy when extracting clinical insights from medical records, and outperforms the most powerful and general and industry-specific LLMs. This model highlights how AI can realize the potential of real-world data (RWD) and offers life science companies a more efficient, powerful way to gain valuable clinical insights.

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.

Ensure high data quality in your observational study with an experienced partner. Learn more about how PicnicHealth ensures quality data collection.

Capture long-term patient-reported outcomes (PROs) in your observational study with PicnicHealth. Learn more about our services in our fact sheet.

Increase the patient diversity of your observational study with a virtual platform that increases patient accessibility. Learn more about PicnicHealth.

Ensure your observational study enrolls a representative population by working with an experienced observational research partner. Learn more about PicnicHealth.

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.

Explore the fundamental opportunity within decentralized and hybrid observational trials with PicnicHealth’s CTO and Applied Clinical Trials

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.