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

The success of a clinical trial depends on access to the right data at the right time. But how can researchers securely connect and enrich trial data while maintaining patient privacy?

Ebook

How-To Guide: Navigating Clinical Trial Tokenization & Data Linkage

In today’s dynamic regulatory environment, healthcare, life science, and research organizations must balance patient privacy with the need for innovation.

Ebook

Ensuring privacy and compliance across health data

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

Ebook

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.

Ebook

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.

Ebook

Denials Checklist

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

Ebook

Measuring Impact with Real-World Data

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

Ebook

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.

Ebook

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.

Ebook

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.

Ebook

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.

Ebook

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

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

Ebook

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.

Ebook

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

Learn about our four step process for getting your EHR data migrated to a new system. Migrate in 60 days or less, without disruption to your practice.

Ebook

Migrating Your EHR Data Without Disruption

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.

Case study

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.

Case study

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.

Case study

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

Case study

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).

Case study

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.

Case study

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.

Case study

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.

Case study

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.

Case study

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.

Case study

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.

Case study

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.

Case study

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

Case study

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.

Case study

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.

Case study

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.

Case study

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.

White paper

Navigating Privacy in Unstructured Text: Advanced AI Solutions for Compliance and Data Insight

In today’s data-driven healthcare environment, ensuring patient privacy while maintaining data utility is essential.

White paper

Understanding Expert Determination with Datavant

Datavant partners with hundreds of entities to benefit patient outcomes. Learn how a robust and growing real-world data ecosystem is emerging in Europe.

White paper

Fixing the Global Health Data Supply Chain

The HIM role continues to evolve through technology, analytics, and AI. Learn how to ensure every record presents the True Clinical Picture across patient care.

White paper

Capturing the True Clinical Picture

Datavant Connect tokenizes sensitive information that can’t be reverse-engineered to reveal the underlying information. Leverage Datavant in the cloud, such as AWS and Databricks.

White paper

Datavant Connect: Tokenization software for health data

Address the need for highly accurate privacy-preserving record linkage and patient matching solutions to unlock research and innovation.

White paper

Datavant Connect: Matching patients across healthcare datasets

Using Datavant to link and de-identify employee health data, employers can better understand their employee needs and offer the right benefits for improved wellness and cost optimization.

White paper

The Next Generation of Employee Health

A survey of life sciences leaders reveals some of the key challenges that come with using real-world data (RWD) for innovation, along with their vision and predictions for how RWD can accelerate drug development and improve patient outcomes.

White paper

The Future of Health Data: A 2022 Life Sciences Industry Insights Report

Each year, pharmaceutical companies spend billions on the generation and procurement of data. But despite investing heavily in data, pharma companies are limited by the basic problem of not being able to connect the data they’ve amassed– and thus unlock insights from it.

White paper

Solving Pharma’s Data Silo Problem: Why a Linkable Data Infrastructure is Good for Biopharma and Good for Patients

The rapidly expanding specialty pharmacy market has created unique challenges for pharmaceutical manufacturers looking to obtain dispensing, adherence, and switching data for specialty drugs. Access to timely, anonymized, longitudinal patient data forms the foundation of brand analytics within pharmaceutical manufacturers.

White paper

Connecting the Dots in Specialty Pharmacy Data

Veritas Data Research’s Fact of Death contains over 35 million death records and is the most complete, timely, accurate, transparent, and representative index of U.S. mortality data.

White paper

Mortality Data In Healthcare Analytics

Life science companies invest billions of dollars each year researching and developing new treatments for patients. Each of these clinical studies is carefully designed to test specific hypotheses about treatment safety and efficacy, which are laid out in the study protocol.

White paper

Trial Tokenization: Building a Bridge Between Clinical Trial Data and Real-World Data

To optimize the revenue cycle, the clinical and financial paths must be brought together. Ciox’s Geoff New shows us the path.

White paper

Better Together: Building a Clinically Integrated Revenue Cycle

Denials have existed for a long time, but the landscape related to denials continues to change, and organizations must shift from retrospective processing to ongoing prevention throughout the organization.

White paper

Getting the Job Done: A toolkit for denial prevention in a new age of COVID-19

The health care industry has been relatively slow to catch on to the digital revolution compared to other industries. While health care organizations have invested in electronic health records (EHRs) over the past two decades, data typically remained siloed across organizations and in different formats, making it difficult to access and share information.

White paper

State of the Industry Issue Brief

ROI quality is paramount because medical records include highly sensitive information that a UAD could expose. Although you can’t completely eliminate human error, what you can do is significantly reduce these errors.

White paper

A Roadmap for Success: Improving release of information (ROI) quality using Six Sigma principles

VBC models place a renewed focus on patient-centered care and identifying gaps in care. One of the main gaps involves sharing of clinical data, which remains fragmented due to the lack of interoperability. By solving complex data fragmentation challenges, providers can access previously unconnected data, identify care gaps, and better meet value-based care objectives.

White paper

Will Whole Person Care Bring Value in Value-Based Care?

Datavant's integrated tokenization capabilities make it simpler and easier for our customers to tokenize and link data directly on Snowflake Data Cloud.

Product overview

Unlocking Real World Data in Healthcare With Datavant and Snowflake

Learn more about the demographic breakdown in Datavant EHR Integration Data Profile Summary.

Product overview

EHR Integration Data Profile Summary

Assess is a feasibility reporting toolkit that visualizes metadata and overlap. Evaluate potential data partners with Assess.

Product overview

Evaluate potential data partners with Assess

Datavant supports health plans in making healthcare more accessible, effective, and affordable through smarter data exchange and interoperability solutions.

Product overview

Powerful Data Logistic Solutions for Health Plans

Datavant’s tokenization and privacy preserving linkages is fully integrated on Databricks enabling new ways to analyze data in healthcare and life sciences.

Product overview

Enabling the Future of Privacy Forward Data Connectivity with Datavant and Databricks

Match uses machine learning models trained on comprehensive consumer and EHR datasets to deliver the highest precision rates in the industry.

Product overview

Accurately resolve identity with Match

De-identify data through Safe Harbor or Expert Determination. Get tailored reports to meet organizational, vendor, and customer needs. Meet compliance requirements.

Product overview

Industry-Leading Independent Disclosure Risk Analysis of Your Data

Making the right health and wellbeing decisions requires complete employee data, but that data is fragmented across dozens of organizations.

Product overview

Connect Employee Health & Wellness Data with Datavant

Increase every clinical trial's full potential with connected data and research-grade insights.

Product overview

Datavant Trials Overview

Datavant technology has been vetted and validated through hundreds of security and compliance assessments with the industry's most stringent organizations.

Product overview

Datavant Security Overview

As a greater number of drugs are distributed through specialty channels, it is difficult to gain deep insights into the patient journey. Single data sources provide limited visibility into the complex journeys for patients on specialty therapies.

Product overview

Connecting Specialty Drug Data for Improved Patient Insights and Brand Performance

As more patient data comes online each year, there is a need to ensure these new datasets are assessed for disclosure risk and adequately de-identified to protect patient privacy — especially as they are linked together.

Product overview

Privacy Hub: Technology-Enabled Expert Determination and HIPAA Compliance

As the healthcare industry moves towards a value-based care model, life sciences companies need to utilize real-world evidence to justify the cost and improve understanding of the effectiveness of their therapeutics and medical devices.

Product overview

Upgrade your HEOR and Demonstrate Value by Leveraging Linked Data

Deven McGraw, Chief Privacy and Regulatory Officer at Ciitizen, talks about data sharing post-Dobbs, the future of connected health data, and health data privacy.

Podcast

Longitudinal: Deven McGraw

Dr. Theresa Cullen discusses her work to improve access to health data throughout her career from the Indian Health Service to her role as Public Health Director of Pima County, Arizona.

Podcast

Longitudinal: Theresa Cullen

Former CTO of the US and current President and CEO of CareJourney talks about how to improve digital standards for data exchange in healthcare.

Podcast

Longitudinal: Aneesh Chopra

Navigate the complexities of implementing self-pay safeguards within healthcare while exploring how the 21st Century Cures Act amplifies challenges.

Podcast

Unveiling the Latest Healthcare Trends: Dive into the Expert Insights of Compliance and Privacy Gurus

Get valuable insights and real-world examples of how Patient Request is transforming the patient experience.

Podcast

Empowering Patients Through Compliance: Navigating Healthcare Regulations and Accessing Your Records

Delve into the evolving landscape of digital security, focusing on phishing emails and targeted email attacks.

Podcast

Securing Cyberspace: Exposing Phishing Threats

Scammers impersonate celebrities like Samuel L. Jackson and Sarah Jessica Parker to request sensitive patient data. Learn about elaborate scams involving medical information.

Podcast

Unmasking Scams: Samuel L. Jackson Works for Walgreens?

Explore the rise in fraudulent healthcare requests post-COVID and the stringent validation methods used to combat them. Balance between patient access and data security.

Podcast

Fraud Busters: Safeguarding Patient Requests and Preventing Deceptive Inquiries in Healthcare

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