Table 2.

Technologies, methodologies, and principles for transforming healthcare ecosystems (29).

• Mobile technologies, biotechnologies, nano- and molecular technologies • Big data and business analytics • Integration of analytics and apps • Assisting technologies → Robotics, autonomous systems • Natural Language Processing → Text analytics → Intelligent media analytics • Conceptualization → Knowledge representation (KR) and knowledge management (KM) → Artificial intelligence (AI) → Artificial common (general) intelligence → Intelligent autonomous systems • Security and privacy, governance, ethical challenges, Education → Asilomar AI Principles • Cloud computing, cognitive computing, social business

• Edge computing as a “family of technologies that distributes data and services where they best optimize outcomes in a growing set of connected assets” (Forrester Research) • Virtual reality and augmented reality, thereby blurring “the boundaries between the physical and digital worlds” (Gartner) • Creation of IoT-Platforms and app-ecosystems • Patient-generated health data ecosystem → multiple, dynamic policies • Web content management → Digital experience management • Databases → NoSQL technologies → Data warehouses → Graph DBs → Data lakes • EHR (including genomic data) → data exchange → semantic interoperability • Use Case Analysis → Specification → Implementation → Tooling → Testing → Certification