Resource Library | Datavant

The panel discussion on research equity and access at the 2024 Future of Health Data Summit focused on leveraging data to improve access and adoption of medical treatments across healthcare sectors. Some topics discussed included the use of AI and biomedical knowledge graphs for drug repurposing, employing engagement AI to guide physician interactions, and utilizing epidemiological studies to optimize clinical trial site selection. The panelists emphasized the importance of patient-centered research, closing feedback loops in healthcare systems, and developing a "science of global health access" to avoid delays in bringing treatments to low-income countries.

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Harnessing Patient Data: Driving Research, Equity, and Access to Medicines

From randomized controlled trials to federated learning approaches and personalized treatments, this panel at the Future of Health Data Summit 2024 discussed real-world data's potential to revolutionize healthcare.

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From Data to Discovery and Beyond: Enhancing Clinical Research with Real-World Data

The patient registries panel has become a regular feature at the Future of Health Data Summit. In 2024, the panel discussed the evolution of patient registries, emphasizing their importance in collecting comprehensive data for medical research. They explored topics such as patient consent, data harmonization, AI applications, and innovations in early cancer detection, highlighting how modern technology and approaches are making registries more powerful and accessible tools for advancing healthcare.

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Patient Registries: Getting Closer to Complete Patient Datasets

The AI panel at the 2024 Future of Health Data Summit discussed the need for greater transparency and trust-building in AI system development before these systems would be ready for regular use in clinical settings. The group recognized that the potential support offered for administrative processes and trial development provided by AI systems would only be valuable in the long run if patients trust the systems they are asked to opt into.

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Transforming Life Sciences with Responsible, Data-Powered AI

This panel discussion at Datavant’s 2024 Future of Health Data Summit focused on the challenges and opportunities in payer-provider collaboration, emphasizing the need for better data interoperability, aligned incentives, and standardization. The panelists discussed current barriers, potential solutions, and the future of healthcare data exchange, highlighting the progress made so far and the potential impact of emerging technologies like AI.

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Data Silos to Data Synergy: Next-Gen Strategies in Payer-Provider Collaboration

This panel at the 2024 Future of Health Data Summit, moderated by Datavant Chief Legal Officer Kathryn Stalmack, explored the complexities of healthcare interoperability, discussing the balance between data sharing and privacy, as well as the challenges in implementing trusted frameworks across diverse healthcare entities. They emphasized the need for a mindset shift towards digital-first approaches, the importance of patient trust and transparency, and the potential for new technologies and governance models to advance interoperability while safeguarding sensitive information.

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The Trust Equation: Balancing Interoperability and Privacy in Health Information Exchange

At the 2024 Future of Health Data Summit hosted by Datavant in Washington, D.C., this panel discussed the challenges and opportunities in expanding value-based care models, including policy proposals, data sharing, and incentives for providers and patients.

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From Volume to Value: How is Value Based Care Succeeding and Failing to Deliver on their Mission

Kyle Armbrester (CEO, Datavant) and Sarah London (CEO, Centene) participate in a fireside chat at the 2024 Future of Health Data Summit, where they discuss the role of product in healthcare innovation, Centene's approach to Medicaid and data strategy, and the potential impact of AI on healthcare administration and member experiences.

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Fireside Chat with Kyle Armbrester and Sarah London

Experts provide overview of key health data sources, such as EHRs, claims, lab, and genomics. Effectively use diverse health data in research and operations.

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Ecosystem Explorer: Expert Interviews on the Most Common and Useful Data Types in the Datavant Ecosystem

Leverage patient-authorized data to advance research and development efforts. Datavant helps Sponsors find fit-for-purpose data partners for their trial needs.

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A New Role for Real-World Data in Clinical Trials: Patient Authorized Workflows

Checklist for providers to respond to payer requests. Avoid unnecessary rework, additional payer fees, or penalties to focus on providing patient-centered care.

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Denials Checklist

Explore the transformative power of connected real-world data in reshaping how life sciences companies approach audience targeting, engagement, and measurement.

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Measuring Impact with Real-World Data

In today's clinical research landscape, patient registries are transforming how we understand diseases and develop new treatments.

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How to build a patient registry

Tokenizing clinical trial data in the development lifecycle allows earlier access to real-world data. Validate populations prior to marketing authorization.

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The Utility of Data Tokenization in Clinical Trials

Specialty drugs drive the majority of prescription drug spending. Learn about capabilities unlocked by connecting SP data, first party data, and RWD.

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Linking Specialty Pharmacy Data for Commercial Success: The New World of Commercial Analytics

Learn how consulting and professional services can harness de-identified health data to power analytics for their organizations and clients.

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Connecting Health Data for Stronger Analytics and Deeper Insights: Consulting & Professional Services Edition

To build the best predictive models, companies need access to massive amounts of data – ideally longitudinal data about a patient’s journey through the health system.

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How to Find and Connect the Right Health Data for Stronger Predictive Analytics

De-identify data while balancing business needs, research objectives and, patient privacy protections. Learn how to protect sensitive information.

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HIPAA Compliant De-identified Healthcare Data Exchange

Clinical trials are central to making health advancements. Clinical trial tokenization and real-world data enable improved insights into the patient journey.

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Linking Clinical Trials to Real-World Data: 7 Sample Use Cases

Link clinical trial data to real world data sources and establish a more complete picture of each study participants’ health journey.

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How-to Guide: Readying Your Clinical Trial for Linkage with Real-World Data

Discover how Arkansas Blue Cross Blue Shield transformed its risk adjustment and care coordination efforts using Datavant’s Clinical Data Platform for real-time, structured clinical data acquisition.

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The Power of Seamless Data Exchange in Healthcare

Learn how researchers accessed datasets with national scope and was near real-time to guide healthcare policy-makers into saving lives from COVID-19.

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How 100M+ EHR Records Accelerated COVID-19 Analysis

Kythera Labs leveraged Datavant's advanced identity resolution technology to narrow the number of distinct patients, producing a higher quality dataset.

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Case Study: The power of patient matching in real-world data

Linking curated claims and registry data from electronic health records sheds light on full disease burden and healthcare utilization

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The Picture Comes into Focus for Patients Suffering with Rare Eye Disease

A molecular diagnostics company developed a blood test to support treatment selection for patients with advanced non-small cell lung cancer (NSCLC).

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Linking Oncology Diagnostic Labs to Assess their Effectiveness in Supporting Immunotherapy Treatment Selection in Lung Cancer

Despite high effectiveness of COVID-19 vaccines in the real-world, there have been cases of fully vaccinated patients contracting COVID.

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Validating an Antibody Test to Predict Infection Rates in COVID-19

A biopharma company was conducting a Phase III study to assess the safety and effectiveness of a new COVID-19 vaccine. They needed to identify and connect to real-world data sources that would enable observation of infection rates and adverse events beyond the period of the trial.

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Trial Tokenization to Understand the Long Term Effectiveness of a New COVID-19 Vaccine

A top 20 pharma company noticed that a significant portion of patients who were on an infusion therapy had stopped treatment. This happened despite patients receiving support through a variety of assistance programs.

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How One Pharma Used Connected Specialty Drug Data and RWD to Improve Patient Adherence

A major pharma company had developed a treatment for a rare condition. However, two years after launch, the drug’s sales were far below expectations. Finding eligible patients for this new treatment was proving difficult because disease symptoms are heterogenous and patients can go years before being diagnosed correctly.

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How One Pharma Connected Specialty Drug Data for Better Physician Targeting

Connecting data at the patient level is critical in gaining a deep, longitudinal view of how different interventions and policies can affect patient outcomes. The following peer-reviewed articles provide detail on studies using health data connected by Datavant technology.

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Research Using Health Data Connected by Datavant

A pharma client partnered with an Advanced Analytics company to develop a model to identify patients likely to have hereditary ATTR amyloidosis.

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Profiling and Diagnosing Rare Disease Patients

Recently, a biopharmaceutical company completed at 36 week Phase IV study of 175 patients across 40 trial sites to evaluate the effectiveness and safety of a recently approved anti-seizure medication as adjunctive therapy in focal seizure. Patient retention was the primary efficacy endpoint and seizure frequency was a secondary efficacy endpoint.

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Trial Tokenization and Linking to Real World Data: Extending the effectiveness and safety analysis of a new focal seizure treatment

Recruiting patients for Nonalcoholic fatty liver disease (NAFLD) and Non-alcoholic steatohepatitis (NASH) trials can be a challenge. Diagnosis and staging require a combination of lab test results combined to create a Fibrosis-4 score (FIB-4) and specialized MRI and ultrasound liver imaging to measure hepatic steatosis, and liver stiffness.

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Overcoming Trial Recruitment Challenges in NASH Using De-identified Patient Linking

Building External Control Arms through Real-World Data - A Phase II Oncology Case Study

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Linking EHR, Genomic & Claims Data to Find Ultra-Rare Disease Patients

Download this overview to learn how Datavant powers external control arms and why they are important, using an oncology case study as an example.

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External Control Arms Overview

There was a customized process in place to fulfill managed care audits; however, as is the case with many “workarounds,” the solution did not take full advantage of technology and best practices.

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Provider Payer Collaboration Changes the Game for Managed Care Audit Processing

Nicklaus Children’s Hospital implemented Patient Request to allow families to request medical records anytime, from anywhere – even after the HIM department closed due to COVID.

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How Nicklaus Children’s Hospital Uses HealthSource Patient Request to Improve Patient Access to Health Information

In today’s healthcare data landscape, unstructured text represents both a tremendous opportunity and a significant challenge.

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