Localization and Implementation of National Order Sets in Saudi Arabia

Article type
Authors
Brunnhuber K1, Bilimoria K1, Sweis M1, Xiu P1, Memish Z1, Crisera V1, Al-Ghodaier H1, Qubissi A1, Alsaeedi M1
1Clinical Solutions, Elsevier Ltd, London, United Kingdom
Abstract
Background: Order Sets (OS) are a predefined collection of orders related to specific diagnostic tests, care interventions, medications, and referrals. Digital OS can be embedded within Electronic Health Record systems and may include additional contextual information that links to underlying guidelines or research. Evidence shows that OS streamline clinical processes and increase clinicians’ adherence to the latest evidence-based practices.
Objectives: To pilot the implementation of national guideline recommendations through localized Order Sets in Saudi Arabia
Methods: The National Guidelines Program in Saudi Arabia—hosted by the National Center for Evidence-Based Medicine at the Saudi Health Council—oversees the development, dissemination, and implementation of its inaugural 12 guidelines. Once Task Force consensus is reached on a topic’s recommendations, these inform the localization of the relevant portions of Elsevier’s global Order Sets (OS). An initial OS draft, prepared by an OS Localization Lead, is reviewed by local experts—often recruited from or recommended by the Task Force involved in the guideline’s development—and subsequently signed off by the Saudi Health Council’s Scientific Committee. Upon a healthcare organization’s commitment to implement these national OS within its Electronic Health Record (EHR) system, a second intensive phase of localization commences, led by a multidisciplinary team of local clinical, quality, technology, and leadership representatives, along with the EHR system provider and Elsevier OS team to ensure that all selected OS are seamlessly integrated and tailored to the local context.
Results: The iterative review and sign-off process has already yielded over 20 national Order Sets (OS), encompassing drug and non-drug interventions and other ‘orderables’ localized to Saudi Arabia. Ongoing pilots are being conducted to further localize these national OS at participating governmental and private healthcare institutions. This customization ensures that OS are fully aligned with locally available and preferred interventions. Preliminary outcomes from live implementations offer positive signs, with feedback from clinical leads indicating that localized OS are user-friendly and contribute to significant time savings.
Conclusions: Order Sets aligned with and referencing national guidelines present an innovative approach to integrating guideline recommendations at the point of care and promoting clinical adoption.