Resources & Articles
Keep up with key industry trends and discover more about our approach to non-interventional research.
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Data Quality: Fact Sheet
Ensure high data quality in your observational study with an experienced partner. Learn more about how PicnicHealth ensures quality data collection.
Representativeness: Fact Sheet
Ensure your observational study enrolls a representative population by working with an experienced observational research partner. Learn more about PicnicHealth.
Patient Reported Outcomes: Fact Sheet
Capture long-term patient-reported outcomes (PROs) in your observational study with PicnicHealth. Learn more about our services in our fact sheet.
Diversity: Fact Sheet
Increase the patient diversity of your observational study with a virtual platform that increases patient accessibility. Learn more about PicnicHealth.
New at PicnicHealth: Introducing the New Sponsor Dashboard
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.
Introducing the PicnicHealth Virtual Site
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.
Data Completeness Fact Sheet
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 Unified Patient Record and how it enhances evidence generation for better results for our sponsors.
The Power of AI in Pharma to Achieve Regulatory-Ready Studies
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.
Decentralized Clinical Trials: Bust or Breakthrough?
Explore the fundamental opportunity within decentralized and hybrid observational trials with PicnicHealth’s CTO and Applied Clinical Trials
Medical Affairs and the Real World
Medical Affairs & the Real World: How PicnicHealth's model is providing a unified view of patient care and simplifying observational research
Making Patient Data Usable: Q&A with Noga Leviner
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.
Considerations for the use of real-world evidence in non-interventional studies: Comments for the FDA
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.
What we mean by “Messy” Real-World Data
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.
Building a Personal Medical AI
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.
The Role of AI in Observational Research | Q&A with PicnicHealth Chief Technology Officer and Co-founder, Troy Astorino
This week PicnicHealth unveiled PicnicAI, an AI-driven platform designed to rapidly unlock unified medical records and deliver accurate insights for patients and life science companies.
From AI to telemedicine: Transforming clinical trial recruitment in 2024
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 Research Roundup
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.
Evidence Unlocked: How AI and Technology Is the Key to More Robust Observational Research
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).
Meet PicnicHealth: Non-interventional Research Simplified
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
Dr. Nancy Dreyer Highlights the Advantages of a Direct-to-Patient Approach in Observational Research
Check out this transcript of PicnicHealth’s Chief Scientific Advisor, Dr. Nancy Dreyer, talking with AJMC about how the direct-to-patient approach is superior to traditional observational research methods. She focuses on the collection of better real-world data and how patients can benefit.
What Impact is AI Having on the Collection and Analysis of RWE?
Read about how AI is empowering real-world evidence generation in observational research as well as the limitations of using AI within this setting.
Q&A with PicnicHealth's Chief Commercial Officer, Rachael Thomas Higgins
Q&A with PicnicHealth Chief Commercial Officer, Rachael Thomas Higgins
Building the patient experience into observational studies produces stronger real-world evidence
In this article with PharmaPhorum, our Chief Scientific Advisor, Dr. Nancy Dreyer, provides actionable guidelines on how to integrate direct-to-patient approaches at every stage of your study. See why she believes patient-centric observational research is better fit to answer complex research questions.
Advancing Rare Disease Research: A Q&A with PicnicHealth's Chief Medical Officer
In honor of Rare Disease Day, we dived into an insightful Q&A session with PicnicHealth's Chief Medical Officer, Daniel R. Drozd, an MD at the forefront of pioneering healthcare research.
PicnicHealth Introduces PicnicStudies: A Complete Solution for Registry-Based Studies
We are excited to announce the launch of PicnicStudies! With this new solution, run faster and more efficient observational studies from end-to-end.
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