Blockchain Technology for Healthcare: Facilitating the Transition to Patient-Driven Interoperability

By William J. Gordon, Christian Catalini. Computational and Structural Biotechnology Journal, 2018

665 citations recorded by the source corpus.

Interoperability in healthcare has traditionally been focused around data exchange between business entities, for example, different hospital systems. However, there has been a recent push towards patient-driven interoperability, in which health data exchange is patient-mediated and patient-driven. Patient-centered interoperability, however, brings with it new challenges and requirements around security and privacy, technology, incentives, and governance that must be addressed for this type of data sharing to succeed at scale. In this paper, we look at how blockchain technology might facilitate this transition through five mechanisms: (1) digital access rules, (2) data aggregation, (3) data liquidity, (4) patient identity, and (5) data immutability. We then look at barriers to blockchain-enabled patient-driven interoperability, specifically clinical data transaction volume, privacy and security, patient engagement, and incentives. We conclude by noting that while patient-driving interoperability is an exciting trend in healthcare, given these challenges, it remains to be seen whether blockchain can facilitate the transition from institution-centric to patient-centric data sharing.

Subfields: Computer Networks and Communications, Health Information Management, Information Systems

View Paper: https://www.semanticscholar.org/paper/76aed56db6aa48c9a6ec28bb2671dd49c0bb3d99

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

  1. Dinh C. Nguyen
  2. Pubudu N. Pathirana
  3. Ming Ding
  4. Aruna Prasad Seneviratne
  5. Ayesha Shahnaz
  6. Qusay H. Mahmoud
  7. Mohsen Attaran
  8. Ayesha Khalid

In Health Information Management

  1. Aruna Prasad Seneviratne
  2. Ming Ding
  3. Dinh C. Nguyen
  4. Mohsen Attaran
  5. Pubudu N. Pathirana
  6. Asma Khatoon

In Information Systems

  1. Dinh C. Nguyen
  2. Pubudu N. Pathirana
  3. Ming Ding
  4. Aruna Prasad Seneviratne
  5. J. Mikael Eklund
  6. Ayesha Shahnaz
  7. Qusay H. Mahmoud
  8. Mohsen Attaran

Citations in the corpus