Abstract

Since AlphaGo first beat a professional human Go player, scientists have not questioned the ability of computers to treat diseases; instead, they are asking how computers can fit into clinical settings. Because various types of clinical information, such as electrocardiograms, respiratory patterns, and telemedicine, can already be digitized, this information must be processed by computers to help treat patients. Interoperability is the final stage of clinical application. The Fast Healthcare Interoperability Resources (FHIR) project is a new Health Level 7 (HL7) standard, which focuses on interoperability and agility. This month's Editor's Choice articles demonstrate how to smoothly adapt computers to clinical settings.

In 2014, the HL7 organization announced the FHIR project, which adopts several of the latest network standards (e.g., RESful, CSS, JSON). The goal of FHIR is to facilitate the implementation of an Electronic Health Record. Gøeg et al. developed a future-proof architecture for telemedicine by using a loose-coupled module and HL7 FHIR. They identified the core features of their future-proof architecture as follows: [1] To provide extended functionality, the system should be designed as a core with modules. Database-handling and implementation of security protocols are modules that improve flexibility compared with other frameworks. [2] To ensure that modules are loosely coupled, the system should invert the control mechanism. [3] A focus on ease of implementation requires that the system uses HL7 FHIR as the primary standard because it is based on web technologies.

Health information technology (IT) evolves rapidly. These Editor's Choice articles demonstrate how to swiftly implement health IT in a clinical setting.
Original languageEnglish
Pages (from-to)A1
JournalComputer Methods and Programs in Biomedicine
Volume160
DOIs
Publication statusPublished - Jul 2018

Fingerprint Dive into the research topics of 'Developing a Framework for Adopting the Latest Health Information Technology Standards for a Next-generation Electronic Health Record'. Together they form a unique fingerprint.

  • Cite this