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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?

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

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

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

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

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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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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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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.

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See how Southwest General Health Center strengthened coding quality and operational efficiency through a strategic partnership with Datavant.

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

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

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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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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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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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In the rapidly evolving life sciences ecosystem, where data is the lifeblood of research, development , and patient care, ensuring quality and compliance is paramount and goes far beyond simply ticking boxes on a checklist.

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

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

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

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

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

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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.

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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.

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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.

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

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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.

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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.

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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.

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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.

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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.

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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.

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

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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.

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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.

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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.

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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.

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

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

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

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

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

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

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

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

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

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

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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.

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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.

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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.

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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.

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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.

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

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

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

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

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

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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.

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