Table 2.

Some requirements for a PHL (from a patient perspective, per the literature).

Requirement					Description
I. Construction and management of digital health state
	R1.1 Integration R1.2 Security and privacy R1.3 Semantic technologies: ontologies				Construct a PHLa by bringing a patient’s data together in a trustworthy, usable, and useful library by gathering different types of knowledge into a single resource
	R2 Management:				Manage the PHL by creating, reading, updating, or deleting resources
		a. RESTfulb resources b. CRUDc operations
	R3.1 Semantic technologies: ontologies R3.2 Privacy:				Decide what types of data should be kept and who has access to that data
		a. What: resource b. Who: agent
II. Dynamic knowledge discovery and integration
	R4.1 Dynamic knowledge discovery R4.2 Knowledge enrichment				Seek health data from constantly changing public sources, enriched with new streams and types of data
	R5 Knowledge sharing with individuals				Decide what types of data are important to collect, manage, and share
	R6 Knowledge sharing with organizations				Share data with citizen science and research initiatives
III. Processing digital health state (digital interventions/mHealthd apps)
	Interaction-based usage
			R7.1 Searching R7.2 Semantic technologies:		Search through the PHL using intelligent mapping for vocabulary used to describe resources in the patients’ profiles
				a. Unique resource representation b. Vocabulary mapping
			R8.1 Semantic technologies: annotations R8.2 AIe: pattern detection		Annotate results from patient’s participation in clinical trials to look for patterns
	Notification-based usage
			R9 Dynamic knowledge discovery		Receive alerts about new data related to topics covered in their PHL
			R10 Wearable device agents (ODLf data)		Play an active role in staying healthy by monitoring their progress
			R11 Knowledge sharing with individuals		Stay current with treatment options and clinical trials for a family member with a debilitating condition
			R12 Semantic technologies:		Find and use information including text summarization, knowledge mapping, etc
				a. Text summarization b. Knowledge mapping
			R13.1 Intelligent mHealth apps:		Access digital assistance via personalized alerts and suggestions, text summarization, literacy aids, translations, etc
				a. Digital assistants b. Recommender systems
			R13.2 Software agents

^aPHL: personal health library.

^bREST: representational state transfer.

^cCRUD: creating, reading, updating, or deleting.

^dmHealth: mobile health.

^eAI: artificial intelligence.

^fODL: observations of daily living.