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Digital Health Human Factors Research Group

Improving the fit between health technology and its users
We apply Human Factors (HF) methods and approaches to evaluate and optimise health technologies to support healthcare work and improve patient safety.

The Digital Health Human Factors Research Group is a part of the Biomedical Informatics and Digital Health research theme in the School of Medical Sciences, and is part of the Charles Perkins Centre.

Our research seeks to understand and improve the interactions between users, health technologies and organisations using mixed-methods approaches. Research areas include:

  • Understanding and improving the fit between clinicians and digital health
  • Electronic medication management systems, electronic prescribing
  • Computerised decision support
  • Safety of digital health
  • Unintended consequences of digital health use and implementation
  • Evaluation and implementation of digital health technologies
  • Human factors methods and approaches

Our research

  • Optimising clinical decision support to transform medication safety and reduce prescriber burden
  • Reducing inappropriate polypharmacy for older inpatients
  • A tool for evaluating medication alerting systems
  • Exploring system-related errors associated with long-term use of electronic medication management
  • Mixed-method evaluation of antimicrobial stewardship in digital hospitals
  • Evaluation of nursing and midwifery education modules
  • Using decision support for more responsive care, better patient outcomes and greater efficiency, Digital Health CRC Project
  • Human factors and safety analysis methods in the design and redesign of electronic medication management systems
  • Evaluation of Real Time Prescription Monitoring in NSW
  • Patient centred eHealth approach to improving outcomes for gout sufferers
  • Evaluation and optimisation of the Vocera Badge communication application
  • Evaluation and implementation of dashboards for benchmarking indicators and monitoring outcomes in heart failure patients
  • Assessing the impact of a self-guided digital intervention for fear of cancer recurrence (iConquerFear) in ovarian cancer survivors: a pilot randomised waitlist-controlled trial
  • Optimising computerised decision support to transform medication safety and reduce prescriber burden (NHMRC Partnership grant)
  • Creating a culture of safety and respect: a controlled, mixed methods study of the effectiveness of a behavioural accountability intervention to reduce unprofessional behaviours (NHMRC Partnership grant)
  • A dashboard to deliver care quality and person-centred outcomes in aged care (NHMRC Partnership Grant)
  • Using decision support for more responsive care, better patient outcomes and greater efficiency (Digital Health CRC Project)
  • The Get Healthy Coaching Service to reduce the burden of low back pain: effectiveness, cost effectiveness, and scalability (NHMRC Partnership Grant)
  • Between the flags – Pediatric reference ranges (eHealth NSW)
  • Baysari MT, et al. An exploratory study of allied health students’ experiences of electronic medical records during placements. Applied Clinical Informatics, 2022, 13(2): 410-418
  • Kinlay M, et al. Electronic medication management systems: Analysis of enhancements to reduce errors and streamline workflow. Applied Clinical Informatics, 2021. 12(5): 1049-1060
  • Marcilly R, et al. Comparison of the validity, perceived usefulness and usability of I-MeDeSA and TEMAS, two tools to evaluate alert system usability: a study protocol. BMJ Open 2021. 11:e050448.doi:10.1136/bmjopen-2021-050448
  • Zheng WY, et al. A tool for evaluating medication alerting systems (TEMAS): Development and initial assessment. JMIR Medical Informatics 2021 9(7):e24022
  • Baysari MT, et al. Supporting deprescribing in hospitalised patients: Formative usability testing of a computerised decision support tool. BMC Medical Informatics and Decision Making 2021. 21: 116
  • Carland JE, et al. Are vancomycin dosing guidelines followed? A mixed methods study of vancomycin prescribing practices. British Journal of Clinical Pharmacology, 2021. 87(11): 4221-4229
  • Roydhouse SA, et al. Accuracy of recorded administration times for intravenous antimicrobial drugs. British Journal of Clinical Pharmacology, 2021 87(11): 4273-4282
  • Lichtner V, Baysari MT. Electronic display of a patient treatment over time: A perspective on clinicians’ burnout. BMC Health and Care Informatics 2021; 28:e100281
  • Nguyen AD, Baysari MT, et al. (2021) Communicating deprescribing decisions made in hospital with general practitioners in the community: A qualitative study. Internal Medicine Journal. 51(9): 1473-1478
  • Kinlay M, et al. Medication errors related to computerised order entry systems in hospitals and how they change over time: A narrative review. Research in Social and Administrative Pharmacy 2020 Dec 16; S1551-7411(20)31209-2
  • Duong MH, et al. Iterative development of clinician guides to support deprescribing decisions and communication for older patients in hospital – A novel methodology. Drugs and Aging 2021, 38: 75-87
  • Van Dort B, et al. Optimising clinical decision support alerts in electronic medical records: A systematic review of reported strategies adopted by hospitals. Journal of the American Medical Informatics Association 2021. 28(1): 177-183
  • Nathan N, et al. Out-of-pocket spending among a cohort of Australians living with gout. International Journal of Rheumatic Diseases. 2021 24(3): 327-334
  • Carland JE, et al. Would they trust it? – An exploration of psychosocial and environmental factors affecting prescriber acceptance of computerised dose recommendation software, British Journal of Clinical Pharmacology 2021, 87(3): 1215-1233
  • Baysari MT, et al. Indications-based prescribing: A challenge for hospital prescribers. British Journal of Clinical Pharmacology 2021, 87(3): 730-731
  • Westbrook JI, et al. The prevalence and impact of unprofessional behaviours among hospital co-workers: A survey of 5178 hospital staff in seven Australian hospitals. Medical Journal of Australia 2021, 214(1): 31-37
  • Westbrook JI, et al. Associations between double-checking and medication administration errors: A direct observational study of paediatric inpatients. BMJ Quality and Safety, 2021. 30:320-330
  • Zheng WY, et al. The impact of automated dispensing cabinets, bar-code medication administration, and closed-loop systems on work processes and safety of controlled medications in hospitals: A systematic review. Research in Social and Administrative Pharmacy, 2021. 17(5)832-841
  • Chen TF, et al. Literature review and environmental scan: review and update the guiding principles to achieve continuity in medication management. Commissioned by the Australian Commission on Safety and Quality in Health Care; 2021
  • Baysari MT, Van Dort B, Zheng WY. Information requirements for a PBS electronic chemotherapy medication chart – A literature scan. Commissioned by the Australian Commission on Safety and Quality in Health Care; 2021
  • Van Dort B, et al. Impact of electronic medication management on the physical location of work in a paediatric setting. Studies in Health Technology and Informatics 2021. 286:72-76
  • Baysari MT, et al. Prescribers’ reported acceptance and use of drug-drug interaction alerts: An Australian survey. Health Informatics Journal, 2022 (Accepted 20 April)
  • Yager R, et al. Would they accept it? Barriers and facilitators to user acceptance of a pilot therapeutic drug monitoring advisory service for vancomycin. BMC Health Services Research, 2022 (Accepted 10 April)
  • Wise S, et al. Australian hospital outpatient pharmacies: service adaptations during the 2020 national COVID-19 lockdown. Journal of Pharmacy Practice and Research, 2022 (Accepted 1 April)
  • Bamgboje-Ayodele A, et al. (2022). Adapting an integrated care pathway for implementing electronic patient reported outcomes assessment in routine oncology care: Lessons learnt from a case study. Journal of Evaluation in Clinical Practice, 2022 (Accepted 24 March).
  • Bamgboje-Ayodele A, et al. Implementing patient reported outcomes into routine care: An audit of cancer patients in two Local Health Districts in New South Wales to inform their capabilities and preferences. Australian Health Review, 2022 (Accepted 3 March).
  • Van Dort B, Penm J, Ritchie A, Baysari MT. The impact of digital interventions on antimicrobial stewardship in hospitals: A qualitative synthesis of systematic reviews. Journal of Antimicrobial Chemotherapy, 2022 (Accepted 14 March)
  • Rosic T, Petrina N, Baysari MT, Ritchie A, Poon S. Patient and clinician use characteristics and perceptions of pulse oximeter use: A scoping review. International Journal of Informatics, 2022, 162: 104735

Our people

  • Professor Melissa Baysari: Research group leader
  • Dr Adeola Bamgboje-Ayodele: Research fellow
  • Ms Bethany Van Dort: Research assistant
  • Mr Kristian Stanceski: Research assistant
  • Ms Danielle Deidun: Research pharmacist
  • Ms Renee Quirk: Research pharmacist
  • Dr Annim Mohammad: Research pharmacist
  • Ms Bethany Van Dort: PhD Candidate
  • Ms Madaline Kinlay: PhD Candidate
  • Dr Emma Tay: PhD Candidate
  • Ms Selvana Awad: PhD Candidate
  • Ms Nicki Newton: PhD Candidate

The Digital Health Human Factors Research Group regularly collaborates with industry partners, local health districts and government. Some of our partners include:

  • eHealth NSW
  • eHealth QLD
  • Sydney Local Health District
  • Northern Sydney Local Health District
  • Digital Health CRC
  • Murrumbidgee Local Health District
  • Alcidion
  • Queensland University of Technology
  • Macquarie University
  • Australian Commission on Safety and Quality in Health Care
  • St Vincent's Hospital, Sydney

Group leader

Professional photo of Prof Melissa Baysari smiling
Professor Melissa Baysari
Academic profile

Our location

  • RC Mills Building, Camperdown Campus, University of Sydney.