Introduction
In Scotland, there is a national strategic drive towards participatory, personalised, predictive and preventive medicine.1 Decision support systems (DSS) are key enablers in the delivery of such a vision. They are characterised as information systems that draw on an active knowledge base to support the decision-making of its user, and can be used globally by health and social care professionals as well as by citizens who have an interest in tracking and quantifying their health and activities (eg, in diaries, appointment reminders, wearables).2
Electronic health record (EHR) infrastructures and the drive to integrate additional data streams, ranging from administrative, social care, genetic and patient-generated wearable data, harbour the potential for a major step-change across the Scottish health and social care (henceforth care) landscapes. In order to capitalise on these, the Scottish Government launched the national Decision Support Programme for NHS Scotland in 2015, which sought to develop an evidence-based strategy and associated delivery framework for DSS.3
Clinical decision support (CDS) systems are a type of DSS that draw on real-time patient-specific information to generate individualised advice such as alerts (such as warnings and reminders) for clinicians tailored to the case at hand. They can be independent (apps or websites), interfaced (eg, to patient management systems or portals) or integrated (with EHRs). CDS to support prescribing is a key strategic priority area throughout much of the world including Scotland, as consistent empirical evidence points to a large proportion of potentially avoidable morbidity and mortality caused by medication-related harm.4–6
Although it is now commonly recognised that CDS systems can improve practitioner performance and also reduce some medication error rates,7 8 there are concerns that CDS implementation can introduce new errors and have unintended consequences.9–13 For example, Ash and colleagues have described how CDS content and presentation can lead to users ignoring potentially important alerts and promote errors (eg, through autocomplete functions).14 This illustrates a need for careful evaluation of the introduction of such technologies and their impact.15
We were commissioned to conduct a formative evaluation of the pilot DSS Platform for the Scottish National Decision Support Programme (see boxes 1 and 2), which combines an open standard-based algorithms editor and engine combined with bespoke decision support applications delivered as web and mobile products and integrated into primary care EHR systems. We designed our formative work to help inform the ongoing development of the Programme through identifying early drivers and implementation strategies, anticipated challenges, and identifying potential ways to address these.16
Summary of the Scottish National Decision Support Programme
The Roadmap to deliver the Programme was published in June 2015. It set out three key milestones:
Phase 1—18 months: Deliver clinical decision support (CDS) for antibiotic prescribing venous thromboembolism guidelines, pilot a Decision Support Web Gateway, define requirements for the knowledge base and CDS Platforms.
Phase 2—year 3: Deliver a Mobile Decision Support Toolbox, implement CDS for long-term conditions in primary care.
Phase 3—year 5: Deliver a suite of point of care mobile CDS, implement CDS with community systems, clinical portal and specialist systems.
Stakeholders: The implementation of the Roadmap was led by the Scottish Government and the Digital Health and Care Institute.
Objectives: By 2020, it was envisaged that CDS would be available to clinicians when needed on desktop computers and mobile applications. Although the Roadmap focused on CDS, there is a wider drive in Scotland to promote decision support systems (DSS) more generally, including citizen-facing functions.
Project organisation: It was envisaged that the Roadmap would be delivered by support roles including product management, knowledge management, technology design and delivery, and implementation support.
System architecture: The Roadmap proposed two key elements:
Small-scale demonstrators: to show that benefit can be delivered and to build clinical engagement and leadership.
The broader infrastructure including: a web place for users to access quality-assured web-based CDS and mobile apps, knowledge-based feeding algorithms, technology and content management tools, including but not exclusively focused on prescribing, including alerts and reminders.
Progress at time of writing: Built digital infrastructure for national delivery of CDS. Some successful early adopter projects use these tools.
Description of the pilot decision support system (DSS) Platform for the Scottish National Decision Support Programme
One part of the system architecture of the Scottish National Decision Support Programme.
Engine that enables writing of clinical decision support algorithms.
Can be plugged into any electronic health record (EHR) system and integrates patient-specific information with published guidelines and regulations.
Includes development tools for portable apps.
Built for open standard interfaces.
Cloud based (in the developer’s own cloud that uses application programming interfaces to allow third-party vendors to link their applications to the Platform).