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COVID-19 Diagnostics Design-a-thon

Patient Health Surveillance Ecosystem Portal (PHSEP)

Dovel Technologies blends deep domain expertise with advanced technologies to help our customers solve complex problems that improve, protect, and save lives. We propose developing a Patient Health Surveillance Ecosystem Portal (PHSEP), a scalable, extensible platform for supporting health surveillance and monitoring for a range of key stakeholders across the care delivery continuum. PHSEP provides a cloud-native, semantically interoperable environment with surveillance capabilities, wellness identification, advanced analytics via a combination of web portal and mobile applications underpinned with a blockchain database supporting multiple data lakes. 

To address patient management and inform clinical treatment in the  population, we propose a  solution throughout the care continuum of the patient. 

  1. A patient-centric monitoring platform to aid in safe, dependable monitoring at home with comprehensive wellness management, patient biometric and medication adherence data to aid in future planning, plus psychological distress evaluation to mitigate proper intervention.
  2. A surveillance ecosystem portal able to aggregated data from multiple sources combined with advanced analytics to inform healthcare providers of treatments and their ability to attenuate or worsen symptoms, correlative and outcomes analysis across the population of interest, and the social determinants of health (SDoH) impacting the patients’ overall clinical outcome. 

5 min Video of Capstone Project

Elevator Pitch

Provide a scalable, extensible platform for supporting health surveillance and monitoring for  key stakeholders across care delivery

 

Challenge Goals

•Provide a scalable, extensible platform for supporting health surveillance and monitoring for a range of key stakeholders across the care delivery continuum

•Ability to support a range of critical functions, from situational awareness (i.e. supply chain) through predictive analytics (i.e. quality measurement) in both emergent and steady-state environments

•Ability to gather high-fidelity data directly from patients and consumers

•Positioned to leverage current and evolving capabilities of cloud-native solutions

•Designed to avoid interoperability function and cost pitfalls that affect adoption, use and sustainability

•Allows for secure and private data sharing and/or data transfer

•Addresses need for high quality care/disease management elements

Feasibility

We propose developing a Patient Health Surveillance Ecosystem Portal (PHSEP) to address patient management and inform clinical treatment in the elder population during the COVID-19 crisis. PHSEP provides a cloud-native, semantically interoperable environment with surveillance capabilities, wellness identification, advanced analytics via a combination of web portal and mobile applications underpinned with a blockchain database supporting multiple data lakes for health surveillance and monitoring across the care delivery continuum. Our portal is designed to deliver a personalized and integrated experience to patients, enhance provider productivity, engage formal and informal caregivers, and improve outcomes and affordability.

Design

Unified Patient Record: We provide FHIR-based data exchange capabilities to bring data from multiple stakeholders in different formats.  Telemedicine/Remote Patient Monitoring Platform: Direct-to-consumer remote monitoring allows patients to be efficiently screened, is patient-centered and conducive to self-quarantine, and protects patients, clinicians, and the community from exposure.

Secure Health Data Exchange: Our data exchange module provides a secure way to exchange data using standards like HL7 and FHIR to support exchanges with health provider, hospitals, and government- local and state.

Advanced Data Analytics:  Our data scientists transform and correlate data to help create  data products in the form of predictive models.  

Innovation

Data Security: Technical trust is a critical component of any solution trying to consume, manage, share and analyze health information while supporting research with new data types and more datasets and this is particularly important when dealing with PHI and PII.  Our platform implements Differential Privacy algorithms (a technique that offers strong privacy assurances, preventing data leaks and re-identification of individuals in a dataset) to allow interoperable data protection to be applied anywhere throughout the system or process with demonstrated compatibility with standards such as FHIR and HL7. Our AWS cloud repository relies on a centralized ledger (blockchain) to keep the data secure and immutable.  

Flexibility & Scalability

The capabilities and services that form PHSEP will include but are not limited to: collecting data from direct care and pharmaceuticals administered by providers, across traditional sites of care, patient engagement, self- and virtual care, remote monitoring, and traditional care that can increasingly be delivered near or in the home. Each of these capabilities and services contribute to the underlying data backbone and advanced analytics technologies we provide via ML  analytics and NLP solutions. These capabilities maintain data integrity and enable insights from the ecosystem.  Our AWS cloud infrastructure provides access via Web/mobile apps, protects data using blockchain, and store data in data lakes using FHIR API connectivity to all.

Sustainability & Extensibility

Our portal provides a unified way to exchange data across disparate systems using FHIR APIs. Our secured exchange module offers a way to ingest, integrate, correlate, and analyze diverse data sets in structured and unstructured formats. We further provide a robust AI/ML/NLP module with pre-loaded and tested algorithms to create real-time insights for all stakeholders. Our security module implements role-based access to allow participants to see only the data they are allowed to see. We provide dashboards with metrics to continuously analyze the need of the participants. Our infrastructure runs on Docker containers managed by a Kubernetes cluster to allow for additional modules and data systems in the future seamlessly. 

Team & Collaboration

Dovel Technologies blends deep domain expertise with advanced technologies to help our customers solve complex problems that improve, protect, and save lives. Our focus is on life sciences, health IT, and public safety organizations. Our team leaders: 

Mr. Adam Welsh has 23 years of experience as a life science information technology business leader and manager specializing in health and life sciences research and technology.

Ms. Laura Roth is an experienced taxonomist with a focus on creating and refining diverse terminologies. 

Dr. Rodrigo Fontecilla has 26 years of highly advanced data science principles, concepts, and standards expertise, in addition to experience in data analytic product creation that meets business goals and strategies.

Additional Comments

We have added another deck showing a module of the PHSEP, which is the Vaccine Surveillance Portal which shows also a simulation of the COVID-19 vaccine analysis of adverse events using synthetic data.  This deck has been presented to the FDA twice as part of the Scientific Computing Conference. 

What Team(s) contributed to this Capstone Project?

Dovel Technologies blends deep domain expertise with advanced technologies to accelerate the delivery of solutions that best fit the needs of our customers. We are dedicated to helping customers make insightful decisions that drive meaningful change in the world.

Medical Science & Computing (MSC) brings subject matter experts in system design with expertise in business process and data modeling, data analytics, data harmonization, and standardization along with data management.

Vahan SIMONYAN, Ph.D. – WHISE-EMBLEEMA

 

edited on Nov 17, 2020 by Rod Fontecilla
Rod Fontecilla

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Sophia B Liu 2 months ago

This idea has been advanced to the current phase

People's Choice Voting Extended

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Sophia B Liu 2 months ago

This idea has been advanced to the next phase

People's Choice Voting Extended

Reply 0

Andrea Pitkus 2 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? What happens if LIS doesn't have APIs or FHIR support (not aware of any that do 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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