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GHC3 COVID-19 SafetyZone (SZ)

The GHC3 Safety Zone (SZ) platform represents an immediate and comprehensive solution to streamline the overwhelming complexity of securely aggregating COVID-19 test data in compliance with HIPAA, privacy, and information sharing regulations. SZ securely ingests data from any source, any lab, any testing company, any electronic medical record (EMR) system using any format from any device or operating system delivered over any network.

 SZ's workflow process makes it possible to coordinate and share all the data according to the disparate and loosely defined set of rules per jurisdiction across the USA. SZ streamlines the process of collecting, testing, and reporting COVID-19 test results into one database with uniform real-time sharing among all parties.

SZ provides each stakeholder with relevant tools and data to facilitate evidence-based decision making, including a real-time heatmap of their region. This independent test, lab, collection, and distribution system is agnostic to any-and-all approaches, which accelerates pandemic mitigation.

 This enormous challenge requires crisis coordination around complex issues at multiple layers across thousands of organizations. The GHC3 is already in the business of coordinating information sharing among global stakeholders and has already integrated real-time test data ingestion, normalization, visualization, and distribution using the SZ platform. Learn more at https://COVID19SafetyZone.com/About

5 min Video of Capstone Project

Elevator Pitch

The SZ uniform data platform makes back to school, back to work, back to normal a reality for everyone!

Challenge Goals

The GHC3 Community of Trust‚ĄĘ Network (https://globalhealthc3.org/security-first/) , together with the SZ data ingestion engine and mobile application, represents an immediate and comprehensive solution to streamline the overwhelming complexity and securely aggregate test data in compliance with HIPAA, privacy, and information sharing regulations.¬†

The SZ platform securely ingests data from any source, any lab, any testing company, any electronic medical record (EMR) system using any format from any device or operating system delivered over any network.

Feasibility

Utilizing Agile Development Methodology (Requirements, Design, Development, Testing, Deployment, Review) beginning in June 2020, GHC3 recently achieved the SZ MVP in November 2020.

 Concerning test data, GHC3 has been working with SZ to integrate test data in real-time from recent NIH RADx graduates by following the process developed for one FDA/EUA approved rapid test from SZ. GHC3 is also working to implement SZ newly developed Point of Care Rapid test, which is currently undergoing clinical trial-testing. This trial is but one test approach. The SZ workflow process and test-subject collection methodologies work with DetectaChem and any other testing approach that evolves or comes out of the RADx graduates system.

Design

The unique SZ Workflow Process (Proprietary) coordinates and shares all data according to the disparate/loosely defined rules per jurisdiction across the U.S. The process of collecting/testing/reporting COVID-19 results is streamlined into a database/shared among parties uniformly by: Unifying scattered data (in real-time) into a centralized hub for a wholistic view/reporting via the GHC3 interconnection agreement; Working with any lab and any test; it is test and lab agnostic; Following a uniform workflow process to ingest data from any source independent of the test approach or manufacturer; Providing each stakeholder with relevant tools and data to facilitate evidence-based decision making, including a real-time heatmap of their region.

Innovation

(Proprietary) Ingestion SZ securely aggregates data in compliance with HIPAA/information sharing regulations. SZ ingests data from any source/ lab/ test/records using any format from any device/operating system delivered over any network; collected in bulk/normalized/shared via SZ API.

Anonymization Deidentifies personally identifiable data.

Repository SZ Scalable Data Lake protects the data. SZ de-identifies at ingestion, passes it to Azure’s Cosmos Data Lake.

Visualization Creates images/ diagrams/ animations to communicate the near-real-time status, Heat Maps.

Privacy Management Data is split into: personal data and medical record repository; retains in a private, secure manner (anonymized). Personal data ONLY accessible by individual (app).

Flexibility & Scalability

SZ's method for data normalization deals holistically with the complete ecosystem. SZ ingests data from any source, delivers it to any reporting entity, shares it with data scientist and Healthcare Professional. SZ does so while being cyber secure and protecting individuals' rights in a Geo-Sovereign manner across the USA and other parts of the world, such as the EU.

 

MSFT Azure Cosmos’ Database delivers single-digit millisecond response times, global scalability, guarantee performance at scale. Business continuity is assured with SLA-backed availability and enterprise-grade security. Cosmos also handles capacity management with cost-effective server-less and automatic scaling responsive to instantly match capacity with demand.

Sustainability & Extensibility

What is needed? An interoperable, scalable solution that securely‚ÄĮingests data in any format, from any device using any operating system, over any transport layer over any network or service provider.¬†The¬†SZ solution supports all test types/lab approaches to collecting data to be ingested into a common database with normalization of data so all participants in the ecosystem can share data equitably.¬†The platform also simplifies the information sharing complexities (who can share what information with whom) in real-time within compliance with data sovereignty issues/HIPAA/privacy regulations.¬†SafetyZone, together with the Global Health Crisis Coordination Center‚Äôs Community of Trust Network, provides an immediate solution.

Team & Collaboration

GHC3,¬†SafetyZone, Microsoft, Reprivata¬†Combined Solution¬†under the direction of GHC3 ‚Äď Global Health Crisis Coordination Center

This enormous challenge requires crisis coordination around complex issues at multiple layers across thousands of organizations. The GHC3 is already in the business of coordinating information sharing among global stakeholders and has already integrated real-time test data ingestion, normalization, visualization, and distribution using the SafetyZone platform. Learn more at https://COVID19SafetyZone.com/About 

Additional Comments

This proposed solution is backed by the team listed above and is available now. As we are responding to this Design-A-Thon, SafetyZone is being evaluated by other Agencies, NGO’s and Private Companies for the very same purposes that are being contemplated in this Design-A-Thon. 

What Team(s) contributed to this Capstone Project?

GHC3 ‚Äď Global Health Crisis Coordination Center |¬†https://GlobalHealthC3.org¬†¬†

Safety Zone | https://COVID19SafetyZone.com  

Reprivata | https://Reprivata.com  

If you are using patient data, are you using real patient data or mock data? Please use MOCK patient data only

MOCK data

edited on Dec 4, 2020 by Mary Jung
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Sophia B Liu 9 months ago

This idea has been advanced to the current phase

People's Choice Voting Extended

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Sophia B Liu 9 months ago

This idea has been advanced to the next phase

People's Choice Voting Extended

Reply 0

Linda Carr 9 months ago

When did this group bring their solution into the fold? We did not see them in the meetings? Are they already funded by MS and NIH RadX? I thought this was for solutions developed within a SMB/SBO arena.

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Andrea Pitkus 9 months ago

Trying to understand if there are preconditions met by other software. (In general) 1. How to collect AOEs, from ordering provider/patient/specimen collector 2. Integrate into app/LIS or other information source for patient to be married to results of IVD test device/system 3. All transmitted to public health (ELR) 4. All transmitted to HHS (may be met by 3).

Will your approach support all 4 or only portions of above for "tracking lab results"?

Do you have app, webportal or EHR based data collection and reporting? How are patient performed tests and data collected and reported?

Do you support LIS based reporting of ELR in HL7 v2.51 (per the MU IG)? For patient performed results are they routed to the physician who is required to report via electronic Case Reporting (eCR) by law? Is FHIR and V2.51 supported depending on where the reporting occurs? How is LIS data acquired if no APIs/FHIR (not aware of any LIS with FHIR capabilities currently)

How/where are LOINC, SNOMED CT and other codes systems supported in your messaging to meet requirements?

How are CLIA testing requirements met in your system?

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