Pederson M, Verspoor K, Jenkinson M, Law M, Abbott DF, Jackson GD (2020). Artificial Intelligence for clinical decision support in neurology. Brain Communications.

Artificial intelligence is one of the most exciting methodological shifts in our era. It holds the potential to transform healthcare as we know it, to a system where humans and machines work together to provide better treatment for our patients. It is now clear that cutting edge artificial intelligence models in conjunction with high-quality clinical

Liaw ST, Liyanage H, Kuziemsky C, Terry AL, Schreiber R, Jonnagaddala J, de Lusignan S. Ethical Use of Electronic Health Record Data and Artificial Intelligence: Recommendations of the Primary Care Informatics Working Group of the International Medical Informatics Association. Yearbook of Medical Informatics: Apr 2020

Objective: To create practical recommendations for the curation of routinely collected health data and artificial intelligence (AI) in primary care with a focus on ensuring their ethical use. Methods: We defined data curation as the process of management of data throughout its lifecycle to ensure it can be used into the future. We used a

Liyanage H, Liaw ST, Jonnagaddala J, et al. Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges. Yearbook of Medical Informatics 2019. http://dx.doi.org/10.1055/s-0039-1677901

Background: Artificial intelligence (AI) is heralded as an approach that might augment or substitute for the limited processing power of the human brain of primary health care (PHC) professionals. However, there are concerns that AI-mediated decisions may be hard to validate and challenge, or may result in rogue decisions. Objective: To form consensus about perceptions,

Lau AYS, Staccini P; Artificial Intelligence in Health: New Opportunities, Challenges, and Practical Implications. Section Editors for the IMIA Yearbook Section on Education and Consumer Health Informatics. Yearb Med Inform. 2019 Aug;28(1):174-178. doi: 10.1055/s-0039-1677935. Epub 2019 Aug 16.

Objectives : To summarise the state of the art during the year 2018 in consumer health informatics and education, with a special emphasis on the special topic of the International Medical Informatics Association (IMIA) Yearbook for 2019: “Artificial intelligence in health: new opportunities, challenges, and practical implications”. Methods : We conducted a systematic search of

Denecke K, Gabarron E, Grainger R, Konstantinidis ST, Lau A, Rivera-Romero O, Miron-Shatz T, Merolli M. Artificial Intelligence for Participatory Health: Applications, Impact, and Future Implications. Yearb Med Inform. 2019 Aug;28(1):165-173. doi: 10.1055/s-0039-1677902. Epub 2019 Apr 25.

Objective: Artificial intelligence (AI) provides people and professionals working in the field of participatory health informatics an opportunity to derive robust insights from a variety of online sources. The objective of this paper is to identify current state of the art and application areas of AI in the context of participatory health. Methods: A search

Domestic Scholarships – COVID-19 and future crisis preparedness in healthcare

Apply now The Australian Institute of Health Innovation at Macquarie University are seeking suitably qualified candidates with pioneering ideas for research into understanding the current health system response to the pandemic and strategies for future crisis preparedness. They have FIVE scholarships available with the Ph.D. topic to be determined taking into account the interests, experience, and prior

Kocaballi AB, Ijaz K, Laranjo L, Quiroz JC, Rezazadegan D, Tong HL, Willcock S, Berkovsky S, Coiera E. Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners. Journal of the American Medical Informatics Association. 2020.

Objective The study sought to understand the potential roles of a future artificial intelligence (AI) documentation assistant in primary care consultations and to identify implications for doctors, patients, healthcare system, and technology design from the perspective of general practitioners. Materials and Methods Co-design workshops with general practitioners were conducted. The workshops focused on (1) understanding

Quiroz, J.C., Laranjo, L., Kocaballi, A.B. et al. Challenges of developing a digital scribe to reduce clinical documentation burden. npj Digit. Med. 2, 114 (2019)

Clinicians spend a large amount of time on clinical documentation of patient encounters, often impacting quality of care and clinician satisfaction, and causing physician burnout. Advances in artificial intelligence (AI) and machine learning (ML) open the possibility of automating clinical documentation with digital scribes, using speech recognition to eliminate manual documentation by clinicians or medical

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

Artificial Intelligence in primary health care

Artificial Intelligence (AI) is often proclaimed as an approach to augment or substitute for the limited processing power of the human brain of primary health care professionals. However, there are concerns that AI mediated decisions may be hard to validate and challenge, or may result in automation biases, even rouge decisions. While the use of

See us at MEDINFO 2019 – Health and wellbeing e-networks for all

The 17th World Congress on Medical and Health Informatics will be held in Lyon, France this month. MedInfo is a key worldwide event in digital health, gathering scientists, clinicians, teachers, students, industry and government. It is a key place for evidence-based care and emerging practice to be shared with an international audience. This year the

What is Artificial Intelligence in the modern classroom?

Workshop 30 May 2019, 6pm to 9pm This workshop explores Artificial Intelligence (AI) and its inevitable impacts on teachers and their students in the modern classroom. Learn from key panel experts from industry and Macquarie University, including Dr Liliana Laranjo and Dr Juan Quiroz from the Centre for Health Informatics, Australian Institute of Health Innovation.