The pharmacist informatician: providing an innovative model of care during the COVID-19 crisis.

OBJECTIVES: The global coronavirus pandemic has expedited digitisation in every industry, especially healthcare, and has highlighted the potential for informatics pharmacists to provide valuable input into crisis management. Informatics pharmacists can combine their clinical and information technology skills to help provide essential patient safety services related to medication management, procurement and analytics. The objective of this study was to determine the key opportunities for a pharmacist informatician to improve patient care and outcomes during the COVID-19 pandemic. METHODS: Fourteen expert informatics professionals involved in the provision of digital health in Queensland, Australia, were invited to participate in a brief semistructured interview. Transcripts were manually coded, through iterative readings of the text to identify participant responses related to opportunities for a pharmacist informatician to assist during COVID-19. Inductive thematic analysis as described by Braun and Clarke, was used to identify groups of text related to the provision of digital health, informatics and change of practice during a pandemic. The relevant codes were then grouped into themes to help answer the research question. KEY FINDINGS: Twelve experts agreed to participate, they included nine informatics pharmacists and three digital health experts from hospital and community. Two key themes and 13 codes related to enabling safer and more efficient workflow and use of data analytics to optimise care were identified. The first theme related to 'social distancing without compromising care' for example, by using the electronic capabilities of digital hospitals and telehealth services. The second theme related to the use of real-time data streaming to optimise patient flow and timely medication procurement and management. Examples of quotes from transcripts were used to provide context and answer the research question. CONCLUSIONS: The experts interviewed identified areas where informatics pharmacists have the potential to assist with maintaining high quality patient care during this pandemic, and in future disasters. Improving awareness, training, and the integration about informatics roles as a result of this global pandemic will likely assist with future patient management in the event of future disasters.

Optimising computerised decision support to transform medication safety and reduce prescriber burden: study protocol for a mixed-methods evaluation of drug-drug interaction alerts.

INTRODUCTION: Drug-drug interaction (DDI) alerts in hospital electronic medication management (EMM) systems are generated at the point of prescribing to warn doctors about potential interactions in their patients' medication orders. This project aims to determine the impact of DDI alerts on DDI rates and on patient harm in the inpatient setting. It also aims to identify barriers and facilitators to optimal use of alerts, quantify the alert burden posed to prescribers with implementation of DDI alerts and to develop algorithms to improve the specificity of DDI alerting systems. METHODS AND ANALYSIS: A controlled pre-post design will be used. Study sites include six major referral hospitals in two Australian states, New South Wales and Queensland. Three hospitals will act as control sites and will implement an EMM system without DDI alerts, and three as intervention sites with DDI alerts. The medical records of 280 patients admitted in the 6 months prior to and 6 months following implementation of the EMM system at each site (total 3360 patients) will be retrospectively reviewed by study pharmacists to identify potential DDIs, clinically relevant DDIs and associated patient harm. To identify barriers and facilitators to optimal use of alerts, 10-15 doctors working at each intervention hospital will take part in observations and interviews. Non-identifiable DDI alert data will be extracted from EMM systems 6-12 months after system implementation in order to quantify alert burden on prescribers. Finally, data collected from chart review and EMM systems will be linked with clinically relevant DDIs to inform the development of algorithms to trigger only clinically relevant DDI alerts in EMM systems. ETHICS AND DISSEMINATION: This research was approved by the Hunter New England Human Research Ethics Committee (18/02/21/4.07). Study results will be published in peer-reviewed journals and presented at local and international conferences and workshops.