Objective: A mixed methods study was conducted to understand clinicians’ perspectives on PGHD (Patient-generated health data) and current mental health apps. This approach uses information gathered from semistructured interviews, workflow analysis, and user-written mental health app reviews to answer the following research questions: (1) What...

Objective: Although much work has been done on patient’s access to EHRs, transfer of information from mHealth Apps to EHR systems is still low. This study proposes a standards-based architecture that can be adopted by mHealth Apps to exchange information with EHRs to support better quality...

Background: mHealth presents innovative approaches to enhance primary healthcare delivery in developing countries like Botswana. The impact of mHealth solutions can be improved if they are interoperable with eRecord systems such as electronic health records, electronic medical records and patient health records. eHealth interoperability frameworks exist but their...

Purpose This article intends to present and discuss two promising business models for deploying international patient summary standards in mobile health (mHealth) apps, enhancing the value brought by standards, in particular by HL7 (Health Level Seven International) FHIR (Fast Healthcare Interoperability Resources) IPS (International Patient Summary)....

Implementing consumer oriented digital health products and services at scale is challenging and a range of barriers to reaching and recruiting users to these types of solutions can be encountered. This paper describes the experience of implementers with the rollout of the Delivering Assisted Living...

This study explored consumers’ perspectives on the potential value of digital health technologies, particularly mobile health (mHealth), to promote well-being by examining their willingness-to-pay (WTP) for such health solutions. A contingent valuation study involving a UK-wide survey that asked participants to report open-ended absolute and...

Background Smart Health is known as a concept that enhances networking, intelligent data processing and combining patient data with other parameters. Open data models can play an important role in creating a framework for providing interoperable data services that support the development of innovative Smart Health...