Do Good With Data: Responsible Data Sharing

In my role as VP of marketing at Lynx.MD I recently interviewed a partner about why they believe that securely sharing clinical data is the future to better healthcare for all. For the client and their peers, it came down to a very simple principle: “Do Good WIth Data.” Embrace safe, secure, and responsible data sharing to transform healthcare for patients and providers.

Unlocking Insights for Advancements:

The seamless integration of structured and unstructured datasets, coupled with advanced AI and NLP technologies, enables us to extract meaningful insights that were once elusive. According to the NIH, the responsible sharing of healthcare data has accelerated the pace of research, leading to groundbreaking discoveries and advancements.

Fostering Inclusivity Through Data Sharing:

Responsible data sharing in healthcare can empower researchers with a wider range of data to identify and address health disparities, leading to more effective interventions and improved health outcomes for underserved communities. By fostering a collaborative approach to data collection and analysis, healthcare providers can gain a deeper understanding of the unique needs of diverse populations and develop personalized treatment plans that promote inclusivity and equitable access to quality care.

Collaboration Across the Healthcare Ecosystem:

Our partnerships with the entire healthcare ecosystem, including providers, researchers in life science, biopharma, and medtech, exemplify the collaborative spirit that responsible data sharing fosters. Collaborations have not only streamlined operational efficiencies but also facilitated cross-disciplinary approaches to complex healthcare challenges.

Balancing Security and Innovation:

Ensuring the security and privacy of healthcare data is paramount. Striking a delicate balance between safeguarding sensitive information and fostering innovation is a challenge that the industry continues to address. Robust encryption protocols, data anonymization techniques, and stringent access controls are integral components of responsible data-sharing practices. We can not underscore enough the importance of these measures in safeguarding patient confidentiality.

Ethics in Data Utilization:

Responsible data sharing goes hand in hand with ethical considerations. Upholding ethical standards in the utilization of healthcare data is not just a legal obligation but a moral imperative. Researchers, providers, and industry stakeholders must adhere to stringent ethical guidelines to ensure that data usage aligns with patient welfare, organizational values, and societal values.

The Impact on Operational Efficiencies:

Beyond research, the ripple effects of responsible data sharing are felt in operational efficiencies across the healthcare spectrum. Real-time data analytics and predictive modeling, empowered by AI and ML, play a pivotal role in optimizing resource allocation, curbing costs, and elevating patient outcomes. Healthcare organizations are now realizing the transformative impact of AI and ML, recognizing their role in driving data-driven operational enhancements for sustained success.

Do Good With Data

It was an “AHA moment” when the client shared their “Do Good With Data” mantra that so succinctly underscores the transformative potential of responsible data sharing in healthcare. It is a guiding principle that propels healthcare research and operational efficiencies forward. As the custodians of vast datasets, we must remain steadfast in our commitment to responsible data sharing, ensuring that its benefits are harnessed for the greater good of all stakeholders in the healthcare ecosystem.

About Lynx.MD

Lynx.MD offers a secure, SaaS medical intelligence platform for sharing real-world clinical data, accelerating research and development, and providing transformative analytics. With the Lynx Trusted Data Environment (TDE), organizations can collaborate with internal and external developers, data scientists, and researchers to build the next generation of data-informed applications, therapies and care options.

Digital Natives: Comfortable Sharing Clinical Data for Research and Development

The digital native generation, millennials and beyond, is the first generation to grow up with the internet and digital technology in the palm of their hand. They are comfortable using technology to communicate, learn, and access information. This comfort with technology extends to the healthcare sphere.

A 2023 study published in the journal Nature Medicinefound that digital natives are more likely than older generations to be comfortable sharing their clinical data for research and development. The study found that 62% of digital natives were willing to share their data, compared to only 38% of non-digital natives.

There are a few reasons why digital natives are more comfortable sharing their clinical data. First, they are more likely to trust technology companies and healthcare organizations. Second, they are more likely to understand the benefits of sharing their data for research and development. Third, they are more likely to believe that their data will be used responsibly.

The Benefits of Sharing Clinical Data

Sharing clinical data for research and development can have several benefits. For example, it can help researchers develop new treatments and cures for diseases. It can also help researchers to better understand how diseases work and how to prevent them.

In addition, sharing clinical data can help to improve the quality of healthcare. For example, researchers can use clinical data to develop new diagnostic tools and to identify patients who are at risk of developing certain diseases.

How Digital Natives Are Sharing Their Clinical Data

Digital natives are embracing their role as active participants in the healthcare data revolution, eagerly sharing their clinical information through various digital channels. A prime example is their adoption of health apps, websites and wearables that enable them to monitor and track their health data, actively sharing it with researchers to advance medical understanding. Additionally, they elect to engage in clinical trials that leverage digital technology to collect and share data, contributing to the development of innovative treatments and therapies.

Digital natives are also more receptive to the passive sharing of their data, particularly when they are assured that it will be de-identified and randomized before being utilized for research purposes. This includes the aggregation of their data for research into various healthcare domains, encompassing holistic health and traditional health disciplines. By actively and passively sharing their clinical data, digital natives are playing a pivotal role in shaping the future of healthcare research and innovation.

Ensure that Clinical Data is Shared Responsibly

It is important to ensure that clinical data is shared responsibly. This means that healthcare organizations and technology companies should have clear policies in place to protect the privacy and security of the data. And, PHI should never be shared without the express written consent of the patient.

In addition, it is important to give patients control over their data. Patients should be able to choose whether or not to share their data and who they share it with. Most healthcare organizations that participate in academic and third-party research already have patients acknowledge and agree to this kind of passive research participation. To ensure the individual maintains control, healthcare organizations should provide a very easy-to-understand Opt-In / Opt-Out option when people are making appointments or otherwise engaging in care.

The Future of Clinical Data Sharing

As the digital native generation becomes the primary users of healthcare service, as that population exceeds boomers and earlier generations, we can expect to see more and more people sharing their clinical data for research and development. This will lead to a number of benefits, including the development of new treatments and cures for diseases, improved quality of healthcare, and a better understanding of how diseases work and how to prevent them.

HealthTech’s Responsibility

Digital natives are comfortable sharing their clinical data for research and development as long as it is for the greater good. There are a number of benefits to sharing clinical data, including the development of new treatments and cures for diseases, improved quality of healthcare, and a better understanding of how diseases work and how to prevent them.

It is important to ensure that clinical data is shared responsibly. This means that healthcare organizations and technology companies should have clear policies in place to protect the privacy and security of the data. In addition, it is important to give patients control over their data.

As digital natives come of age and become the primary users of healthcare services, we can expect to see more and more people sharing their clinical data for research and development. This will lead to benefits for everyone.

Here are some additional thoughts on how to make clinical data sharing more comfortable for digital natives:

  • Transparency: Digital natives want to know how their data will be used and who will have access to it. Healthcare organizations and technology companies should be transparent about their data-sharing practices.
  • Control: Digital natives want to have control over their data. They should be able to choose whether or not to share their data, even if it is in the form of a generic Opt-in / Opt-Out consent acknowledgment with their provider organization.
  • Benefit: Digital natives want to know that their data is being used for a good cause. Healthcare organizations and technology companies should explain how sharing data will benefit patients and the public.

By following these guidelines, healthcare organizations and technology companies can make clinical data sharing more comfortable for digital natives and reap the benefits of this data for research and development.

Healthcare Providers, MedTech, and Life Science companies can learn more about how Lynx.MD is helping organizations securely optimize the knowledge to be found in real-world clinical data. 

About Lynx.MD

Lynx.MD offers a secure, SaaS medical intelligence platform for sharing real-world clinical data, accelerating research and development, and providing transformative analytics. With the Lynx Trusted Data Environment (TDE), organizations can collaborate with internal and external developers, data scientists, and researchers to build the next generation of data-informed applications, therapies and care options.

Solve for Privacy to Bring the Big Data Revolution to Healthcare Research

Industry Brief

November 2023

Balancing Data Utility and Patient Privacy in Healthcare Research

The healthcare industry generates vast amounts of data, yet leveraging it effectively while safeguarding patient privacy remains a challenge. New data-driven technologies promise to make healthcare processes more efficient and more scalable, while also unlocking new treatments and medical technologies to improve patient care.

The Data Privacy Dilemma

Healthcare organizations often face a tradeoff between maximizing data utility and ensuring patient privacy. Restricting data access limits innovation, while unfettered access risks data breaches. The key is to find a way to provide access to real medical data in a streamlined and scalable manner without compromising privacy or security.

Secure Data Ecosystems

New technologies are emerging to address the challenge of data privacy in healthcare research. These technologies provide secure access to data while maintaining control over sensitive information. They enable researchers to analyze data without directly accessing it or removing it from its secure environment.

Gradated Access for Controlled Data Sharing

Graded access models allow healthcare organizations to share data with researchers while maintaining control over who can access what data. This ensures that sensitive information is only shared with authorized individuals and for approved purposes.

Preserving Privacy with De-Identification and Differential Privacy

De-identification techniques and differential privacy can be used to anonymize data and prevent re-identification. Differential privacy adds noise to aggregate data, ensuring that individual patient information cannot be inferred.

Unlocking the Power of Data

By balancing data utility and patient privacy, healthcare organizations can unlock the power of their clinical data to improve patient care and advance healthcare research. These new technologies and techniques are paving the way for a new era of data-driven healthcare innovation.

Learn More

At Lynx, we are committed to ensuring the highest level of security and privacy for patient data, while still making it accessible for valuable research insights. Our innovative processes and protocols provide the means to advance medical knowledge without compromising sensitive data.

Contact us today to learn how Lynx can help you unlock the full potential of your clinical data securely.

To delve deeper into our revolutionary approach, download the full white paper.

About Lynx.MD

Lynx.MD offers a secure, SaaS medical intelligence platform for sharing real-world clinical data, accelerating research and development, and providing transformative analytics. With the Lynx Trusted Data Environment (TDE), organizations can collaborate with internal and external developers, data scientists, and researchers to build the next generation of data-informed applications, therapies and care options.

Millennium Alliance Podcast: Advancing Healthcare through Secure Data Collaboration

Omer Dror, CEO and co-founder of Lynx.MD was recently interviewed by Conor Tuohy for the Millennium Alliance Live podcast. The conversation explores the history of Lynx.MD, the company vision, and the importance of data collaboration in healthcare and research. In a world rich with healthcare data, the potential to transform patient care and save lives is within our reach. However, accessing and harnessing the insights buried in notes and siloed data repositories is a monumental challenge. Lynx.MD, an AI-powered medical data intelligence platform, is on a mission to unlock the untapped potential of real-world data by providing a secure and self-service analytics platform. 

  1. Can you tell us about your company’s mission? Lynx.MD’s mission is to bridge the gap between real-world patient data and transformative research, enabling diagnostic and therapeutic solutions that improve patient outcomes. The healthcare industry has amassed an immense amount of data that, if accessible, could revolutionize care and save lives. Real-world data holds tremendous potential—from detecting diagnostic risk factors in medical images to repurposing drugs, designing clinical trials, and conducting population-level analyses. However, to fully leverage this potential, effective collaboration within the healthcare ecosystem is crucial. Lynx.MD aims to provide a secure and safe platform that facilitates the sharing of sensitive data without compromising patient confidentiality or breaching data security regulations.
  2. How does Lynx work with healthcare providers, researchers, and other stakeholders to promote data collaboration? Lynx.MD brings together healthcare providers, researchers, academics, and MedTech organizations to foster collaboration with real-world clinical data. One of the biggest barriers to collaboration is inertia—aggregating data from disparate sources and managing access requests is not a top priority for most healthcare organizations. Meanwhile, researchers and academics require real-world data to test hypotheses, understand treatment effectiveness, patient outcomes, and advance personalized medicine. To address these challenges, Lynx.MD has developed a secure data exchange platform that connects healthcare providers, industry researchers, academics, and MedTech organizations. The platform enables the safe and secure sharing of de-identified clinical data, empowering transformative analytics and accelerating research and development.
  3. Why is data sharing so important in healthcare, research, and development, and what problem are you solving? Data sharing and collaboration are crucial for improving patient care. It accelerates scientific discoveries, enhances reproducibility, promotes innovation, shortens time to market, improves patient outcomes, optimizes resource allocation, and addresses public health challenges. The rapid development of COVID-19 vaccines exemplifies the power of data sharing enabled by platforms like the UK’s NHS Data sharing platform or Israel’s centralized healthcare data repository. These countries contributed de-identified data from millions of individuals, enabling pharmaceutical companies to test hypotheses and track efficacy in real time. Lynx.MD aims to provide healthcare providers with a similar platform to safely and securely share data, enabling research and development that can improve care and outcomes. 
  4. What sets the Lynx.MD platform apart from other solutions in the industry? The Lynx.MD platform stands out by bringing both sides of the data ecosystem together for collaboration. Healthcare organizations trust Lynx.MD to connect and collate their data from various sources into a secure Trusted Data Environment. This environment allows them to use the data for internal analysis and research or selectively share it with third parties for further advancements. Importantly, the data never leaves the provider’s secure environment, ensuring control and compliance. Additionally, MedTech, biopharma, and life science companies can significantly reduce the time to access real-world clinical data by partnering with Lynx.MD, leveraging the data aggregated from healthcare partners. Previously, these organizations would have had to navigate individual contracts with each provider, a process that could.

Thank you to the Millennium Alliance for hosting Lynx.MD. We appreciate the opportunity to engage in discussions about the challenges and opportunities presented by the vast amount of healthcare data, which unfortunately remains inaccessible and confined within siloed data structures. Approximately 97% of this valuable data is currently locked away, hindering its utilization. Organizations like the Millennium Alliance play a vital role in advancing new technologies and initiatives, bringing them to the forefront of the healthcare industry.

Watch the full podcast.

About Lynx.MD

Lynx.MD offers a secure, SaaS medical intelligence platform for sharing real-world clinical data, accelerating research and development, and providing transformative analytics. With the Lynx Trusted Data Environment (TDE), organizations can collaborate with internal and external developers, data scientists, and researchers to build the next generation of data-informed applications, therapies and care options.

The Power of Data Intelligence and Collaboration in PE-Backed Healthcare Organizations


In April, Omer Dror, Lynx.MD CEO and Co-Founder participated in a panel at the Physician Practice Management and ASC Symposium 2023. The topic of discussion, Leveraging Data Collaborations for Revenue Growth. Beyond revenue recovery, there was a spirited discussion about the value of a comprehensive data intelligence and collaboration platform.

By leveraging data intelligence platforms, PE-backed healthcare organizations gain valuable insights into operational variations, standardize processes, share best practices, and identify opportunities for improvement and growth across their practices.

  1. Standardized metrics and processes: Data intelligence platforms enable healthcare organizations to establish and compare standardized metrics and key performance indicators (KPIs) across practices, facilitating the identification of operational variations and inefficiencies. This allows organizations to pinpoint areas for standardization or optimization, leading to improved efficiency and quality of care.
  2. Sharing best practices: These platforms facilitate the sharing of successful operational strategies and encourage knowledge exchange among practices within the organization.
  3. Data-driven quality improvement: Data intelligence platforms support benchmarking for quality improvement initiatives, providing actionable data and insights for identifying areas of improvement and implementing evidence-based practices.
  4. Data consolidation: These platforms integrate structured and unstructured data from various sources into a centralized repository, allowing PE-backed organizations to create a complete picture of the organization’s operations and a holistic view of the patient journey and care paths.
  5. Identifying cost-saving and growth opportunities: Data intelligence platforms help identify cost-saving opportunities and growth potential through analysis of operational metrics and patient demographics.
  6. Executive reporting and oversight: These platforms provide executive-level reporting and dashboards for monitoring key metrics and making informed decisions regarding resource allocation and operational improvements.
  7. Performance tracking: Data intelligence platforms enable real-time monitoring of KPIs, facilitating the assessment of strategy effectiveness and data-driven adjustments.
  8. Revenue optimization: These platforms analyze patient data to identify revenue growth opportunities and optimize pricing and reimbursement strategies.
  9. Market analysis: Data intelligence platforms provide insights into market trends, patient preferences, and competitive landscapes, aiding in identifying growth opportunities, evaluating market positioning, and developing effective marketing strategies.
  10. Improved decision-making: Data intelligence platforms provide actionable insights and analytics for informed decision-making in operations, patient care, and strategic initiatives.
  11. Patient outcomes analysis: Data intelligence platforms analyze patient data to improve overall patient care and identify best practices in clinical outcomes, treatment efficacy, and patient satisfaction.
  12. Population health management: Data intelligence platforms analyze population health data to identify high-risk patient groups and develop targeted interventions and preventive care strategies for improved health outcomes and cost savings.
  13. Compliance and reporting: These platforms automate data aggregation, validation, and reporting processes, ensuring accurate and timely submission of regulatory reports and compliance with industry standards.
  14. Enhanced insights: Sharing data with third parties for research collaboration elevates the organization’s industry profile while providing practices with expanded knowledge and insights, leading to improved patient care.
  15. Accelerated research: Collaboration with external researchers accelerates research and development efforts, enabling faster advancements in treatments and interventions.

Learn more about our work with PE-backed practice groups and our recently announced partnership with Gastro Health and Prometheus Laboratories, aiming to securely unite real-world clinical data for retrospective analysis of inflammatory bowel disease treatments, bringing together 10 years of de-identified IBD clinical laboratory data and patient data using the Lynx Trusted Data Environment.

About Lynx.MD

Lynx.MD offers a secure, SaaS medical intelligence platform for sharing real-world clinical data, accelerating research and development, and providing transformative analytics. With the Lynx Trusted Data Environment (TDE), organizations can collaborate with internal and external developers, data scientists, and researchers to build the next generation of data-informed applications, therapies and care options.

Beyond the EMR – Medical Research Needs Structured and Unstructured Data

Healthcare data plays a vital role in advancing modern medicine. It helps shed light on the root causes of diseases, create innovative treatments and therapies, and enhance patient outcomes. For these reasons, healthcare research needs access to a diverse array of data, including both structured and unstructured data.

EMRs (Electronic Medical Records) and EHRs (Electronic Health Records) contain both structured and unstructured data. Structured data, such as patient demographics, medication lists, laboratory results, and treatment plans, is organized in a defined format and stored in fields within the EMR/EHR system. This type of data is easily accessible and can be processed by computer algorithms, making it convenient for analysis and research.

On the other hand, unstructured data, such as physician notes, reports, images, and videos, is not organized in a defined format and is more challenging to access and analyze. Despite its limitations, unstructured data provides valuable information about a patient’s health history and experiences that cannot be captured by structured data sources. Clinical events that are documented in physician notes often go undetected. Advanced artificial intelligence platforms can utilize natural language processing and mapping to extract insights from both structured and unstructured data. This offers a comprehensive picture of a patient’s care journey and detects subtle events that were not previously detected.

Accessing both structured and unstructured data can pose a challenge due to the fragmented nature of their storage, which is often in siloed systems and not interoperable. Although EMR/EHR systems play a crucial role in healthcare research by offering a centralized repository of data, they are not a comprehensive source of clinical information for research and analysis. To unlock the full potential of healthcare data and advance the field of medicine through research, it is necessary to unite data from diverse medical sources and eventually, patient-generated sources. A secure Trusted Data Environment can help.

Trusted Data Environments integrate a wide range of data. This includes structured and unstructured information from all corners of the organization to unlock valuable insights and optimize clinical, operational, and financial outcomes. Trusted Data Environments also enable healthcare stakeholders to participate in external research initiatives by securely sharing critical data to enhance patient outcomes while always maintaining the integrity of the data.

In conclusion, structured and unstructured data are both vital components of healthcare research and comprehensive patient care. Researchers must have access to all types of data in order to fully understand and address the complexities of modern medicine.

About Lynx.MD

Lynx.MD offers a secure, SaaS medical intelligence platform for sharing real-world clinical data, accelerating research and development, and providing transformative analytics. With the Lynx Trusted Data Environment (TDE), organizations can collaborate with internal and external developers, data scientists, and researchers to build the next generation of data-informed applications, therapies and care options.

Partnership to Create the Largest Repository of Real-World Clinical Data in Gastroenterology Space

The collaboration creates a repository of real-world evidence that can be used for research that improves the quality of GI care.

PALO ALTO, CALIFORNIA December 14, 2022 – Lynx.MD today announced a partnership with Gastro Health, a leading U.S. medical group specializing in digestive and liver health, to create the largest repository of real-world clinical data in the gastroenterology space for research and development of new GI solutions. Gastro Health will use the Lynx platform across its practices to support research and development of GI-specific (Digital) tools to advance its mission to provide outstanding medical care and an exceptional healthcare experience to all of their patients.

“At Gastro Health we understand that harnessing the power of data and modern computing can support the delivery of transformational tools and insights to support clinicians and inform the delivery of the best possible patient care,” said Rich Weissmark, Sr. VP of Strategic Operations at Gastro Health. “We selected Lynx.MD’s medical intelligence platform to achieve efficiencies across our data network and for the possibilities it opens up to safely and securely collaborate with healthcare partners across the continuum of care to provide preventative and predictive medicine.”

“The fundamental business model of gastroenterology has changed dramatically in the last few years. Practice consolidation and advances in health IT, both provide opportunities to analyze the value gastroenterologists provide to our patients,” said Dr. John Allen, former chair of the American Gastroenterological Association and professor at the University of Michigan, advisory board member at Lynx.MD. “Gastro Health is a large, multi-state GI practice where patients’ health journeys are documented in a single electronic medical record. They have partnered with Lynx.MD, whose technology enables secure data extractions and sorting from multiple clinical and administrative databases and convert it into robust information, to gain insight into the longitudinal impact of care and enable improved point-of-care decision support.”

The partnership will create one of the largest repositories of structured and unstructured GI-related medical datasets providing researchers with the data they need to improve outcomes for gastrointestinal patients globally. The Lynx platform provides advanced firewall algorithms and the application of medical-grade cybersecurity protection protocols, enabling partners to securely collaborate with de-identified, real-world data. Gastro Health maintains full control of what data is anonymized and when and with whom data is shared. The actual data never leaves Gastro Health’s private cloud environment. Researchers receive secure permissioned access to perform large-scale computations, modeling, and analysis within the platform.

“Creating one of the richest repositories of gastroenterology clinical data with Gastro Health opens up millions of data points for life-changing research,” said Omer Dror, CEO and co-founder of Lynx.MD. “Over 3 million people in the U.S. suffer from IBD and the CDC estimates that up to 15% suffer from IBS. Access to real-world data will advance the development of new therapeutics and treatments that can change the quality of patients’ lives.”

The collaboration will provide Gastro Health with deep, data-informed insights to achieve value-based care goals. And, it will help realize the largest secure, privacy-compliant, real-world GI dataset for researchers around the world.

About Lynx.MD

Lynx.MD is the leading cloud-based platform that unlocks real-world health data at scale. The platform enables the sharing and analysis of rich, unstructured data, securely connecting healthcare organizations with the life sciences and MedTech community. Lynx provides an environment for deep learning studies, enabling researchers to investigate data from multiple sources. For more information, visit Lynx MD.

About Gastro Health

Gastro Health is one of the leading gastroenterology platforms in the United States supporting practices in Alabama, Florida, Maryland, Massachusetts, Ohio, Virginia, and Washington. Gastro Health strives to provide outstanding medical care and an exceptional healthcare experience. The Gastro Health care teams utilize technology, clinical expertise, and compassionate care to provide a personalized approach to digestive health and overall wellness. Learn more at GastroHealth.com.

About Lynx.MD

Lynx.MD offers a secure, SaaS medical intelligence platform for sharing real-world clinical data, accelerating research and development, and providing transformative analytics. With the Lynx Trusted Data Environment (TDE), organizations can collaborate with internal and external developers, data scientists, and researchers to build the next generation of data-informed applications, therapies and care options.

Collaboration is the New Frontier for Healthcare

Data sharing is driving the next evolution in research and patient care.

The COVID-19 pandemic brought numerous challenges to our healthcare system — in turn, these challenges drove providers to join together to develop powerful new solutions. Hospital systems banded together to pool resources, unlock new efficiencies, and find a common path through the crisis. “We’re all talking to each other in a way that’s unprecedented,” said one Boston-area hospital CEO

Nowhere is that spirit of collaboration more important than when it comes to data. The global spread of COVID-19 left healthcare teams with little local data to guide their responses. Data-sharing was the only option: providers shared information and insights at both regional, national, and global levels, supporting the rapid development of life-saving treatments, vaccines, and diagnostic tools.

The World Health Organization created a clinical data-sharing hub to guide public health responses. Governmental agencies provided open data resources and computational support. And across the United States, providers teamed up to save lives: Michigan hospitals launched a joint tracking database within a month of their first COVID-19 case while Johns Hopkins created a powerful data dashboard to track COVID cases and outcomes both nationally and globally.

As we look ahead to a post-pandemic world, it’s clear that there’s no value in going back to data silos: for both healthcare providers and researchers, data partnerships are here to stay. To accelerate innovation, though, we can’t take collaboration for granted. It’s time to build on the lessons of the pandemic — and create new infrastructures to support smarter, more streamlined, and more scalable data-sharing across the entire healthcare ecosystem. 

The Next Evolution

The way healthcare professionals and researchers within healthcare ecosystems create, store, and share data is constantly evolving. Not long ago, many physicians relied on crumpled paper notes and faxed records. Digitization first took root at the level of individual practices, enabling referrals and prescriptions to be sent at the click of a button, and helping physicians within a single practice or network to share electronic health records (EHR).

More recently, there have been initiatives underway to promote the interoperability of data across regional health systems. Today, doctors in specific systems can instantly access other EHR records from other local healthcare systems — thus, if a patient had a radiograph at another hospital, the physician can review those images without duplicating tests, re-radiating the patient, or delaying patient care.

Now, we’re embarking on the next evolution in healthcare data. By de-identifying patient records, and creating secure environments where data can be explored without being exported, it’s now possible to enable health data to be shared at scale without compromising privacy or security. This vital breakthrough enables stakeholders to maximize the value inherent in their medical datasets, realizing powerful new insights and driving transformative innovation while still meeting regulatory obligations and ensuring patient privacy.

Accelerating Innovation

Seamless data-sharing is opening the door to groundbreaking diagnostic tools and treatments, making healthcare organizations more resilient, and offering new insights into emerging or poorly understood diseases. But data-sharing at scale doesn’t just open the door to new types of innovation — it also enables stakeholders to accelerate the pace of innovation dramatically.

Developing and validating novel treatments requires researchers to detect faint signals in noisy data. This challenge – in part – makes medical innovation a slow, meticulous process. With the availability of big datasets, more reliable signals can emerge when data is shared freely. These medical advances can translate to the bedside to improve patient care more rapidly than before. 

As the spread of diseases such as COVID-19 and monkeypox has shown, local health challenges can rapidly erupt into global emergencies. Making health data more accessible, and enabling researchers to rapidly access vast datasets, is the key to accelerating innovation and building the agile, resilient healthcare system we need in today’s globalized and fast-changing world.

Improving Care

Sharing medical data can also help providers find paths to better treatment for patients and more cost-effective ways of delivering excellent care. In Michigan, for instance, a network of 26 hospitals shared data to improve spinal surgery outcomes, providing better treatment while simultaneously saving an estimated $20 million.

To realize such benefits on a larger scale, and accelerate innovation across the board, we need to eliminate data friction. Healthcare providers traditionally view data through the lens of patient privacy and are wary of sharing data with outside partners. That’s a valid concern; thus, we need new tools to enable providers to break down data silos and share data with confidence, without compromising network security or patients’ privacy rights.

Finally, we need an infrastructure that makes data discoverable and helps researchers rapidly locate and partner with providers that hold the resources they need. New approaches such as data catalogs will make it far easier for providers to publicly list their available data, without disclosing its sensitive contents, and for trusted partners to then rapidly identify and responsibly access the specific datasets needed to drive innovation.

A New Path Forward

During the pandemic, we trained a new generation of young, tech-savvy doctors for whom collaboration and data-sharing are now second nature. Now, it’s time to commit to building the infrastructure we need to carry our entire industry forward. 

The COVID-19 crisis was a forcing function: providers and researchers had no choice but to work together and share information in order to overcome the challenges they faced. As we move into the “new normal,” healthcare stakeholders need to think carefully and deliberately about how to enable continuing collaboration, and how to put in place rigorous systems to enable data to flow to the places where it can be analyzed and translated to have an impact.

At Lynx.MD, we believe that effective data-sharing is the key to driving continuous innovation across the entire healthcare ecosystem. The pandemic showed us what we can achieve when we work together. It’s time to lean into those lessons, and use tech-enabled collaboration to forge a resilient, interconnected global healthcare system capable of rising to whatever new challenges the future brings.

——

Dr. Abo, VP of Medical Affairs at LynxMD is a Professor of Emergency Medicine & Pediatrics at the George Washington University School of Medicine & Health Sciences. She received her undergraduate degree in biomedical engineering from the University of Pennsylvania School of Engineering and Applied science. After medical school at Sackler School of Medicine, Dr. Abo completed her pediatric residency at Yale-New Haven Children’s Hospital. She is dual fellowship trained in pediatric emergency medicine (Boston Children’s Hospital) and Emergency Ultrasound (University of California, Davis). In 2020, Dr. Abo received her MBA with a focus on the Management of Technology in Innovation from the George Washington University School of Business.

About Lynx.MD

Lynx.MD offers a secure, SaaS medical intelligence platform for sharing real-world clinical data, accelerating research and development, and providing transformative analytics. With the Lynx Trusted Data Environment (TDE), organizations can collaborate with internal and external developers, data scientists, and researchers to build the next generation of data-informed applications, therapies and care options.

ENT Partners Joins Lynx MD in Building the World’s Largest Repository of ENT Data

The Lynx MD platform provides secure, privacy-compliant access to real-world patient data to improve clinical practices and patient care

MINNEAPOLIS, Minn., September 7, 2022 – Lynx.MD today announced that they have partnered with ENT Partners (ENT&C Management, LLC), a leading Physician Practice Management Company (PPMC) specializing in the ear, nose, throat and sleep industry, to advance ENT medical research and clinical practice. Using the cloud-based Lynx MD platform, ENT Partners can securely, and with privacy controls in place, share accumulated real-world health data with academics, pharmaceutical companies and MedTech communities to support the development of innovative medical protocols and technologies.

Jim Feinstein, ENT Partners CEO, said, “ENT Partners is committed to helping doctors provide comprehensive ENT patient care and growing practices. With Lynx MD, we can take advantage of our expanded data insights to give our practices, physicians and patients access to cutting-edge technology to improve care and outcomes for our patients. The Lynx platform makes it easy to upload, share and access identified and de-identified real-world data from diverse sources, allowing providers to collaborate on current patient care pathways and enabling data analysts to extract insights that can help transform the future of patient care.”

ENT Partners provides the opportunity to improve outcomes for ENT patients globally by contributing data to the world’s largest repository of structured and unstructured ENT-related medical data. The Lynx platform provides advanced firewall algorithms and the application of medical-grade cybersecurity protection protocols, enabling partners to securely collaborate with de-identified, real-world data to drive ENT research. Healthcare organizations, like ENT Partners, maintain full control of what data is anonymized and when and with whom data is shared. The actual data never leaves the ENT Partners’ private cloud environment. Researchers receive secure permissioned access to perform large-scale computations, modeling and analysis within the platform.

“Streamlining real-world data access for research and innovation is the lifeblood for technological advancements in medicine. From using medical images to detect risk factors, to leveraging longitudinal medical records to design effective clinical trials, and conduct large-scale population-level analyses, health data has the power to transform people’s lives. However, innovative medical research and development requires expansive datasets,” said Lynx MD CEO and Co-Founder Omer Dror. “With Lynx, healthcare providers, medtech and life sciences researchers and data analysts can securely collaborate and accelerate diagnostic and therapeutic solutions that can help improve patient outcomes. Partnering with ENT Partners contributes to our mission to deliver the largest secure, privacy-compliant, real-world ENT dataset for researchers around the world.”

About Lynx.MD

Lynx.MD is the leading cloud-based platform that unlocks real-world health data at scale. The platform enables the sharing and analysis of rich, unstructured data, securely connecting healthcare organizations with the life sciences and MedTech community. Lynx provides an environment for deep learning studies, enabling researchers to investigate data from multiple sources. For more information, visit Lynx MD or meet us at AAO-HNS 2022.

About ENT Partners

ENT Partners offers physicians a customizable, boutique approach to partnering and managing your practice. ENT Partners provides access to a team of proven healthcare experts who know how to support physicians and their management teams. Our focus is on areas with actionable deliverables that will improve results and provide you real value. ENT Partners is committed to helping doctors provide comprehensive ENT patient care and to growing practices through corporate affiliation. To learn more about ENT Partners, visit: https://entpartners.com/

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SOURCE Lynx.MD

About Lynx.MD

Lynx.MD offers a secure, SaaS medical intelligence platform for sharing real-world clinical data, accelerating research and development, and providing transformative analytics. With the Lynx Trusted Data Environment (TDE), organizations can collaborate with internal and external developers, data scientists, and researchers to build the next generation of data-informed applications, therapies and care options.

Lynx: A three-sided exchange

What will it take to accelerate the pace of medical innovation? This question has a simple answer: data. But the challenge is accessing and using data in a secure way, that is compliant with privacy regulations and mindful of patient privacy.

At Lynx.MD, we’ve taken on this challenge with a three-sided exchange that enables academia, private providers, and research teams to contribute, access, and work with de-identified patient data inside a highly-secure, cloud-based environment.

Side 1: De-identified medical data from thousands of patient records, physicians’ notes, drug treatments, and more.

Side 2: Researchers and data scientists that use real-world patient data to develop AI models to enhance clinical trials or provide insights on the patient journey.

Side 3: Health providers that contribute data to the network to support healthcare research and harvest insights to improve quality of care.

We not only prioritize the privacy and security of patient health data, but we’ve also developed tools and processes built with security in mind, so physicians and patients can be confident that health information remains private, while researchers and developers can safely and securely use that data to model and validate new treatment options, develop medicines to assist those treatments, and identify preventative approaches to improve healthcare for all. Read on to learn how the exchange works and what benefits it brings to participants.

Protecting real-world patient data

The privacy and security of confidential medical information are of paramount importance to patients and their healthcare providers. Yet, as technology advances, such as cloud computing and pervasive internet access, while healthcare providers can quickly obtain access to patient records and conveniently share information to support patient care, poor security protocols and irregular standards create an enormous risk of exposing confidential patient data to groups looking to profit from it. As a result, governments worldwide developed stringent standards that protect medical data, such as the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and General Data Protection Regulation (GDPR).

Privacy regulations define sensitive or personal data as one that can be traced back to a person, directly or indirectly. Most privacy regulations offer frameworks and guidelines for making such data safer and not personal, like the de-identification guidelines of HIPAA Safe Harbor or anonymization and pseudonymisation in GDPR.

The Lynx Privacy Firewall offers military-grade security to ensure all data is HIPAA- and GDPR- compliant. The platform performs on-the-fly de-identification to enable users to work with real-world patient data while staying compliant. Lynx makes sure that the data, if need be, is anonymized before it is ever made available for third-party researchers. Data never leaves the data provider’s secure infrastructure and private cloud environment. Lynx provides strong end-to-end encryption and multi-factor authentication (MFA) to ensure that data transfers are secure.

More data, deeper research, faster insights

The advancement of medtech solutions is highly dependent on real-world data as better, faster decisions depend on medical teams having a holistic view of each patient. Lynx gives developers and data scientists the ability to quickly access millions of data points to test and run models that enable more rapid statistical analysis or predictive analytics. Further, rather than reach out to 20 different healthcare providers to request high-value clinical data, teams are able to access, curate and combine specific datasets of their choosing from one, secure location.

Because the data resides inside a secure environment and can’t be downloaded, Lynx provides a data science workbench fully equipped with common data science tools. Teams can write Python, R or SQL code inside the Lynx system. And as clinical data gets updated, all the graphs and visualizations update automatically in a dashboard.

Advancing healthcare and patient outcomes

Life sciences rely on real-world patient and clinical data for research and development, and yet acquiring this data has been burdensome across the board. That’s why a medical intelligence platform like Lynx that provides secure access to large, diverse real-world patient datasets can accelerate the growth of diagnostic and therapeutic solutions.

For example, real-world evidence can greatly improve clinical trial outcomes—from identifying inclusion criteria for clinical trials to increasing patient diversity in studies. Or for healthcare providers, amassed clinical data can drive organizational and clinical performance or ensure products and solutions are developed based on real-world data.

Through the Lynx trusted research environment, all parties can elect to securely share and learn from real-world clinical data insights to understand the impact of therapeutics, treatments and medical devices on patients.

To learn more about the Lynx platform and how it can help your organization, contact us.

About Lynx.MD

Lynx.MD offers a secure, SaaS medical intelligence platform for sharing real-world clinical data, accelerating research and development, and providing transformative analytics. With the Lynx Trusted Data Environment (TDE), organizations can collaborate with internal and external developers, data scientists, and researchers to build the next generation of data-informed applications, therapies and care options.