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MeriTalk

Eliminating Silos in IT/OT Cybersecurity Is a Funding Challenge, Not a Technical One The FedRAMP High Supply Crisis Is a Federal Security Problem – Not a Procurement Footnote How More Tightly Focused Software Development Initiatives Will Unlock Innovation Across Government Transforming Federal Cybersecurity Through Private Sector Innovation Evolving Zero Trust and Embedded AI – Federal Government Cybersecurity Predictions for 2026 Unlocking AI’s Potential in High-Assurance Environments Accelerate Agentic AI in the Federal Government: Top Takeaways Why Congress Must Reauthorize the Technology Modernization Fund Make Cybersecurity a Key Ingredient of Modernization How Spectro Cloud’s PaletteAI Secure helps agencies scale AI securely, compliantly, and confidently Fix the Foundation: How Hybrid Cloud and Trusted Data Enable Government AI New Google Workspace Cost-Saving Offer Available for U.S. Federal Government Reinventing FedRAMP in the Age of AI Balancing Security and Efficiency: The Federal IT Dilemma in the AI Era Meeting Evolving State and Local Cyber Threats AI Is the Solution to Stop AI Data Theft Enhancing U.S. Government Operations with AI and Human-Centered Design How FinOps Can Help Agencies Slash Cloud Costs in 5 Steps Will Quantum Computing Weaken or Strengthen Cybersecurity of Federal Systems? Improving Citizen and Federal Employee Experience with Virtual AI Assistants Strategies for Securing the Federal Supply Chain Reframing the U.S. Government’s Approach to Cybersecurity Oversight Three Steps Agencies Can Take to Meet Government’s AI Requirements The Impact of NIST’s PQC Standardization on the Federal Cybersecurity Ecosystem Generative AI is Revolutionizing Federal Government Operations NIST’s new PQC Algorithms and What They Mean for Federal Agencies Addressing the U.S. Quantum Labor Shortage Before It’s Too Late How a Community Vigil Approach and Secure by Design are Critical to Software Cybersecurity Addressing the Talent Shortage: How Digital Government Improves Satisfaction, Retention Here’s What We Can Learn (and Do) About Cybercrime from FBI’s Latest Internet Crime Report Implementing AI Assurance Safeguards Before OMB’s December Deadline The Next AI Wave: Quantum AI CDM’s Evolution to Non-Traditional Technology: Why Now and How Will it Succeed? Customer Expectations Require Agencies to Raise the Bar on Customer Experience, Report Shows Applying for Government Benefits Shouldn’t Be Difficult When It Comes to Identity Verification Four Federal Software Supply Chain Security Trends to Watch FedRAMP Baseline Transition Points to OSCAL-Native Tools What Zero Trust Means for Modern Government: Best Practices for Key Tenets Four Ways to Handle the IT Funding Crunch Agencies Need to Get Creative to Fill the Cyber Workforce Gap Customer Identity trends report shows control trumps convenience Federal Agencies Making Strides Toward Sustainability and Climate Action Executive Order 14028 | Improving the Nation’s Cybersecurity Depends on Data | All Data is Security Data Applying Geospatial Intelligence, AI/ML to Climate Change Challenge My Cup of IT: Angry at Arthritis, Hunting for Cures How the Federal Government Can Help Combat a Fragmented Internet Accelerating Cybersecurity for US Critical Infrastructure Getting in on the Ground Floor of the ‘New Observability’ Comply-to-Connect is Key to Zero Trust for DoD How Will Upcoming Cryptocurrency Regulations Affect Industry? 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Launching a New Era of Government Cloud Security Managing IT Complexity in Federal Agencies Agencies Must Modernize Zero Trust Approaches to Achieve Optimal Protection Five Essential Metrics for Measuring Federal Government CX Unlocking the Benefits of 5G and Beyond The Federal Factory of the Future: How AI is Transforming Manufacturing The Quantum Impact on Cyber How Next-Gen Computers Will Transform What’s Possible for Federal Government Agencies Must Take an Authentic Approach to Synthetic Data Biometrics and Privacy: Finding the Perfect Middle Ground Two-Way Street: Why Officials and Constituents Are Equally Responsible for Securing the Midterms The “Programmable World” Will Bring the Best of the Virtual World Into the Physical One Cyberattacks are a Common Occurrence and the Costs are Higher Than Ever Increasing Equity Through Data and Customer Experience The AI Edge: Why Edge Computing and AI Strategies Must Be Complementary How Metaverses and Web3 can Reshape Government Four Emerging Technology Trends set to Impact Government Most 5G Enables AI at the Edge Plugging Cyber Holes in Federal Acquisition Resilient Critical Infrastructure Starts with Zero Trust The Evolution of Government Tech Procurement Under CMMC 2.0 Zero Trust Requires Continuous, Tested Security for Federal Agencies How Multi-INT Fusion Accelerates Mission Intelligence for Real-Time Decision Advantage Three Things to Consider for Responsible AI in Government Legislation, White House Orders Show Agencies Opportunity for Hybrid Cloud Creating an Effective Framework for DoD’s Software Factories Realizing Upsides for Digital Security in the Hybrid Workplace A Future With AI and ML: The Power of Workforce Education Five Tips to Begin MFA Integration and Embrace Zero Trust The Vital Intersection Between Equity and Digital Transformation Equity as a Platform: Applying a New Mindset to Scale Innovation Harnessing the Right Data for Evidence-Based Equity From EO to Action: Human Factors of Enabling a Cyber Safety Review Board For Equity in Government Services, It’s Time to Change the Paradigm Critical Questions to Ask When Considering Explainable AI (XAI) for Your Federal Agency The Telework Model for Government: COVID Lessons for Building an Effective Workforce DevSecOps: 4 Steps for Mitigating the Next Cyber Attack in Your Federal IT Environment Better Cyber Hygiene Helps, but Federal Security Needs SASE Lift DoD, Feds Plot Top Cyber, Cloud Priorities for 2022 Cloud-Native Government: How to Transform With Intention DoD and VA Health Networks Face Growing Threat From Medical-Device Vulnerabilities New Federal Cybersecurity Requirements: How Agencies Should Implement a Zero Trust Architecture Protecting Our Nation Through Big Data Analytics Three Ways COVID-19 Altered Federal, State IT Budget Allocations Ransomware is More Than a Cybersecurity Issue From Me to We: Take the Mission Further With Multiparty Systems Anywhere, Everywhere: Integrating Your Virtual Workplace ‘I, Technologist’: Empowering Innovators in the Federal Workforce Mirrored World: Digital Twins Report for Duty Across Government
Cloud-Based Collection of Quality Public Health Data in the Time of COVID-19
David Dastva · 2021-04-06 · via MeriTalk

The United States was once a leader in the collection and utilization of public health data. As the COVID-19 pandemic wears on, the United States must resume its leadership in this domain.

During the pandemic, numerous lives were lost and still more people became chronically ill with “long-haul COVID” due in part to gaps in U.S. public health data systems. Shortcomings with these data systems directly underlay the need to shut down key sectors of the economy, causing millions of lost jobs and bankruptcies. The widespread shutdowns were necessitated by the lack of data on both community prevalence of the disease and COVID-19 immunity status, which in turn forced the need to treat wide geographic areas of the United States as under threat.

To address these gaps and ensure we are ready to meet future public health challenges, we require a centralized, cloud-based system for use in tracking infectious diseases and chronic conditions. We have named this system the Nationwide Reportable Conditions Data System (NRCDS).

At the outset, the NRCDS would be used for reporting data on the 121 “reportable” diseases and conditions such as COVID-19, influenza, mumps, and cancer. Currently, testing entities (such as Quest) and providers (such as doctors’ offices) are required to report data on these conditions to the nation’s 2,300 state and local public health agencies within 24 hours.

The myriad, disparate reporting locations create a tremendous burden for reporting entities that are simply trying to comply with a Federal reporting mandate. Additionally, these thousands of public health agencies largely host their reportable conditions data on-premises in legacy systems. Starting with the Modernizing Government Technology Act of 2017 (MGT), the Federal government has sought to drive government agencies away from such systems toward more efficient cloud-based operations.

The single, unified, cloud-based NRCDS would align with Federal initiatives like MGT and the Cloud Smart Strategy. Initially, NRCDS data would be comprised of the 31 data elements mandated by the CARES Act Section 18115, reportable condition stipulations for COVID-19. However, the Centers for Disease Control (CDC) has expressed interest in expanding such a platform in the future to include the other 120 reportable conditions as well as further data streams including immunizations, Admission-Discharge-Transfer (ADT) events, electronic Case Reporting (eCR), and Electronic Health Record (EHR) data.

Expanding the NRCDS in the ways proposed by the CDC would enable the creation of a rich longitudinal record of infectious disease diagnoses, immunizations, EHR data about chronic health conditions, and healthcare utilization in the United States – COVID-19-related and otherwise. This data system would have endless crucial uses. For example, the monitoring of COVID-19 could take place at all geographical scales–a capability lacking during the current pandemic – closing an important information gap. Furthermore, for public health case management and education purposes, it could be used to monitor and assist individuals who were vulnerable to a given infectious disease.

We propose a second, cloud-based system that is ensconced within the NRCDS – which we have named the COVID Repository – to track functional immunity status to COVID-19. The COVID Repository would contain information on U.S. residents’ COVID-19 and antibody test results as well as vaccinations. Additionally, it would include viral strain (variant) information to the extent available. The length of time that immunity to COVID-19 lasts is still being studied, and it may only last several months. Once this time window is known, because the COVID Repository is a longitudinal record, it would allow the determination of the approximate “expiration date” of immunity after an infection or vaccine. Figure 1 presents the NRCDS and the associated master COVID Repository, in identifiable and de-identified forms, that would be developed from it. A government agency or contractor permitted to handle personally identifiable health information would maintain the database. Information would be shared with the Federal Aviation Administration, the Federal Emergency Management Agency, the Department of Defense, intelligence agencies, and several other government stakeholders.

Figure 1. The centralized, cloud-based Nationwide Reportable Conditions Data System (NRCDS) and COVID Repository

Ideally, the COVID Repository data would be combined with the other longitudinal health data in the NRCDS so the long-term effects of COVID-19 and its effect on other chronic conditions could be established. The data set would assist U.S. agencies with managing the long-haul COVID-19 caseload, allowing insights that could reduce the burden for U.S. health care and social systems. The data would additionally be maintained and made available in de-identified form to research agencies, nongovernmental organizations, and health care companies, making it an invaluable resource for research.

The NRCDS and COVID Repository would allow for much more accurate public health monitoring. They would also be much more efficient than the current legacy systems and save money. As recently as 2017, many government agencies were spending over 75 percent of their budgets on maintaining legacy systems that were becoming siloed as they failed to integrate with newer technologies. Finally, in an era when the nation’s COVID-19 and other health data are among the top targets of international cybertheft efforts, the cloud-based systems’ increased security would safeguard U.S. residents’ personal health information.

David Dastvar serves as chief growth officer with Eagle Technologies. In his 29 years with public sector and Fortune 1000 companies (including GDIT/CSC, Infosys, CDI, Maximus/Attain, and Northrop Grumman), he has developed and managed professional services and solutions for enterprise-level projects requiring a high degree of program management and technical expertise.

Linda Hermer, Ph.D., leads the Research Team at Eagle Technologies. Dr. Hermer earned her undergraduate degree at Harvard University in Neurobiology and Linguistics and her doctoral degree from Cornell University in Psychology. She was an accomplished neuroscientist and cognitive psychologist before dedicating the second half of her career to improving public health 10 years ago. Since then, she has worked to modernize public health and social science research at universities, nonprofit organizations, and for-profit firms.