Liyanage H; Liaw ST; Konstantara E; Mold F; Schreiber R; Kuziemsky C; Terry AL; de Lusignan S. ‘Benefit-risk of Patients’ Online Access to their Medical Records: Consensus Exercise of an International Expert Group’, Yearbook of Medical Informatics 2018, vol. 27, pp. 156–162; DOI

Background: Patients’ access to their computerised medical records (CMRs) is a legal right in many countries. However, little is reported about the benefit-risk associated with patients’ online access to their CMRs. Objective: To conduct a consensus exercise to assess the impact of patients’ online access to their CMRs on the quality of care as defined in six

Liyanage H; Liaw ST; Jonnagaddala J; Hinton W; De Lusignan S, 2018, ‘Common Data Models (CDMs) to Enhance International Big Data Analytics: A Diabetes Use Case to Compare Three CDMs’, Studies in Health Technology and Informatics, vol. 255, pp. 60 – 64, DOI

Common data models (CDM) have enabled the simultaneous analysis of disparate and large data sources. A literature review identified three relevant CDMs: The Observational Medical Outcomes Partnership (OMOP) was the most cited; next the Sentinel; and then the Patient Centered Outcomes Research Institute (PCORI). We tested these three CDMs with fifteen pre-defined criteria for a

Ford L, Carter GP, Wang Q, Seemann T, Sintchenko V, Glass K, Williamson DA, Howard P, Valcanis M, Castillo CF, Sait M, Howden BP, Kirk MD. Incorporating whole genome sequencing into public health surveillance: Lessons from prospective sequencing of Salmonella Typhimurium in Australia. Foodborne Pathogens and Disease 2018; 15(3):161-167.

In Australia, the incidence of Salmonella Typhimurium has increased dramatically over the past decade. Whole-genome sequencing (WGS) is transforming public health microbiology, but poses challenges for surveillance. To compare WGS-based approaches with conventional typing for Salmonella surveillance, we performed concurrent WGS and multilocus variable-number tandem-repeat analysis (MLVA) of Salmonella Typhimurium isolates from the Australian Capital

Beller E, Clark J, Tsafnat G, Adams C, Diehl H, Lund H, Ouzzani M, Thayer K, Thomas J, Turner T, Xia J, Robinson K, Glasziou P, founding members of the Ig. Making progress with the automation of systematic reviews: principles of the International Collaboration for the Automation of Systematic Reviews (ICASR). Systematic reviews. Syst Rev 7, 77 (2018)

Systematic reviews (SR) are vital to health care, but have become complicated and time-consuming, due to the rapid expansion of evidence to be synthesised. Fortunately, many tasks of systematic reviews have the potential to be automated or may be assisted by automation. Recent advances in natural language processing, text mining and machine learning have produced

Laranjo L, Dunn AG, Tong HL, Kocaballi AB, Chen J, Bashir R, Surian D, Gallego B, Magrabi F, Lau AYS, Coiera E. Conversational agents in healthcare: a systematic review. Journal of the American Medical Informatics Association. 2018; 25(9):1248-58.

OBJECTIVE: Our objective was to review the characteristics, current applications, and evaluation measures of conversational agents with unconstrained natural language input capabilities used for health-related purposes. METHODS: We searched PubMed, Embase, CINAHL, PsycInfo, and ACM Digital using a predefined search strategy. Studies were included if they focused on consumers or healthcare professionals; involved a conversational

Coiera E, Kocaballi AB, Halamka J, Laranjo L. The digital scribe. npj Digital Medicine. 2018; 1(1):58.

Current generation electronic health records suffer a number of problems that make them inefficient and associated with poor clinical satisfaction. Digital scribes or intelligent documentation support systems, take advantage of advances in speech recognition, natural language processing and artificial intelligence, to automate the clinical documentation task currently conducted by humans. Whilst in their infancy, digital

Coiera E, Ammenwerth E, Georgiou A, Magrabi F. Does health informatics have a replication crisis. Journal of the American Medical Informatics Association. 2018:25(8)963-968

OBJECTIVE: Many research fields, including psychology and basic medical sciences, struggle with poor reproducibility of reported studies. Biomedical and health informatics is unlikely to be immune to these challenges. This paper explores replication in informatics and the unique challenges the discipline faces. METHODS: Narrative review of recent literature on research replication challenges. RESULTS: While there