A Clinical Kidney Intelligence Platform Based on Big Data, Artificial Intelligence, and Blockchain Technology

【Author】 Shae, Zon-Yin; Tsai, Jeffrey J. P.

【Source】INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS

【影响因子】1.059

【Abstract】The high prevalence and incidence of end-stage rental disease (ESRD) and the difficulty in the early predicting the acute kidney injury (AKI) event highlights the limits of existing kidney care model, particularly the fragmented care and fractured data. The era of medical big data and artificial intelligence (AI) opens an opportunity to fill these knowledge and practice gaps. To obtain multi-dimensional view of the profiles of patients receiving dialysis, we propose to provide coherent care services and to actively collect patients' multi-faceted information from home and hospital (e.g., photos of diets, sleep duration, or dermatologic manifestations). Furthermore, by introducing the blockchain in the infrastructure to enable the trustable medical exchange and effectively creates a large set of distributed medical data lake from various participated hospitals. We will introduce the medical coin, a virtual token, to vitalize digital service within the blockchain and create common interests among data generators, data vendors, and data users.We aim to create business models on top of its therapeutic effectiveness and unlock the academic and commercial value of medical data ecosystem.

【Keywords】Clinical kidney intelligence platform; big data; AI; blockchain; medical data ecosystem; medical coin

【发表时间】2022 MAY

【收录时间】2022-05-14

【文献类型】理论性文章

【主题类别】

区块链应用-实体经济-医疗领域