Alex Roehrs

TL;DR: This work proposes a model named OmniPHR, a distributed model to integrate PHRs, and demonstrates the feasibility of the model in maintaining health records distributed in an architecture model that promotes a unified view of PHR with elasticity and scalability of the solution.

TL;DR: An updated taxonomy was developed and identified challenges, open questions, and current data types, related standards, main profiles, input strategies, goals, functions, and architectures of the personal health record (PHR).

TL;DR: The performance results indicated that data distributed via a blockchain could be recovered with low average response time and high availability in the scenarios the authors tested and demonstrated how OmniPHR model implementation can integrate distributed data into a unified view of health records.

TL;DR: OmniPHR demonstrated the feasibility to provide interoperability through a standard ontology and artificial intelligence with natural language processing (NLP) with the possibility of subsidizing the creation of inferences rules about possible patient health problems or preventing future problems.

TL;DR: This work proposes an architecture model named FogChain, which combines the technologies Blockchain, Fog computing, and the IoT for the healthcare domain, and its concept of overcoming IoT constraints by employing a differential approach, adding an intermediary Fog layer near to the edge to improve their capabilities and resources.