Meeting Notes - 20190820

Owned by Deniz Coskun
Last updated: Aug 22, 2019
2 min read

Hyperledger Patient Subgroup

August 20th 2019 meeting

No sound track recording was possible 

Patient Consent

In attendance:

Deniz Coskun – moderator

Kent Lau

Robert Learney

Agenda:

  • Summary of the references of the last meetings
    • We decided to work on an use case:
      • Clinical Trials for Diabetes Treatment with Wearables
      • Patient Consent Process is the focus
      • We want to use Smart on FHIR as Data Standard for the Data Transfer between EHR2EDC
      • Data Consolidation and Process Execution on Blockchain is separated
      • API Structure is to be defined
  • We want to fix the scope in order to specify the work to be done
  • Deniz contacted with Associate Prof. Mehdi Benchoufi and Paty with Bob Milius, PhD

Deniz opened the meeting. Michael presented himself. Deniz gave a short summary of the scope and the actions of the Subgroup. 

The last decisions are discussed. Kent asked for a whatsapp group for the better coordination of the meetings. 

Deniz perseneted the the list of the questions for the next steps (from Paty and himself) 

Questions:

  • What is the particular Treatment in Diabetes?
  • Which Framework is the best in Hyperledger? Fabric or Sawtooth? Criteria for the selection?
  • The data flow between Data and Process Layer? Structure and content.
  • In all use cases: what information about data access is stored in the blockchain? Type of data, provenance, intended use?
  • In all use cases: when is consent required more than once? For example: When a new PaaS AI supplier accesses the data? When during monitoring something new/different is monitored in the patient such as moods using a mood-tracking App? ( See https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676196/)
  • How can we design the Hyperledger Consent API to be universally used in all cases? Standardization?
  • What other use cases of patient consent fit here?
  • Do clinical trials use AI monitoring engine linked to a drug treatment plan? For example, for drug tolerance or adverse effects through sensors or repeated lab work?