Inspiration

In medical healthcare space there are data silos, records of valuable data is siloed between institutions which increases cost, time, and a higher latency leading to higher medical wait times for patients. There is no solo workflow so medical systems unfortunately making the multi party workflows difficult to manage. The constant changing data with no digitized history is difficult to maintain as there is no common data model. With privacy regulations we know that stakeholders who break regulations like HIPAA can be fined from $100 to 50,000 per record. In terms of data interpretability, integration with current healthcare systems can go from patient, insurance, company, doctors, to pharmaceuticals, all varying before it reaches a final bill number.

What it does

With the global digital health market reaching over $200 billion in the year 2020, there has never been a better time to innovate in the healthcare space to provide business value to provide actionable insights for stakeholders. Factors like medical urgency, necessity, timing, and support create a need for a medical blockchain for insurance health claims, radiology as a service, and electronic health record. The solution is Doctor Clearing House a medical blockchain for insurance health claims radiology as a service and electronic health records.Our health insurance verification system for credentials leverage leverages smart contracts for health insurance that makes it standardized where digital certificates are verifiable, portable, and tamper proof. Doctor Clearing House User Flow:

1) User creates a new stakeholder where each has configurable smart contract permissions.

2) Healthcare provider can set up a medical appointment date with the patient.

3) Proof that you have received medical treatment with blockchain immutable verifiable credentials that can be sent for health insurance in three easy steps we leverage smart contracts to disrupt the medical space with demo technology.

How we built it

Doctor Clearing House backend involves Java processing on the DAML Ledger. User logged in as a primary care provider and they can select insurance ID which is a hash that allows for traceability on this Ledger. We can refer patients selecting for insurance information like receiver encounter ID procedure appointment priority, what the diagnosis is this medical information is then sent to the secure ledger.

These shared workflows allow risk reduction data transparency and real-time information flow accelerating innovation for health insurance claims. on the application front-end we have react components that connect to DAML libraries with an authentication token issuer. As seen from the video with VS code, the .daml files were compiled for our DAML model. Doctor Clearing House removes medical data silos between healthcare stakeholders like health clinics, insurance, companies, and government with a trust based digital verification software.

DAML Ledger Name: DoctorClearingHouse DAML ID: ehlkemmh2py7yy3q

Challenges we ran into

  • Downloading the dependencies needed to run blockchain DAML
  • Choosing between ledgers like postgres or fabric hyperledger
  • Debugging json configs and queries reading from the ledger

Accomplishments that we're proud of

Doctor Clearing House makes it easy to file health insurance claims through multi party workflows by optimizing the healthcare supply chain. This allows every stakeholder to have transparent real-time views were permissions and optionality for users.

What we learned

  • Creating simple user flows for insurance billing (UI/UX)
  • Using Daml Hub's live explorer to interact with smart contracts
  • Using sandbox as ledger
  • Learning a new language like DAML
  • Business logic in the healthcare space

What's next for Doctor Clearing House

  • Adding authentication like Google ID
  • DAML peer-to-peer chat between doctor and patients
  • Utility and testing services

Built With

  • daml
Share this project:

Updates