SnoMAP: Pioneering the Path for Clinical Coding to Improve Patient Care. - Michael Lawley; Donna Truran; David P. Hansen; Norm Good; Andrew Staib; Clair Sullivan (HIC, 2017)

Unpacking the Complexity of Consistency: Insights from a Grounded Theory Study of the Effective Use of Electronic Medical Records. - Rebekah Eden; Saeed Akhlaghpour; Paul Spee; Andrew Staib; Clair Sullivan; Andrew Burton-Jones (HICSS, 2018)

The Transformation of Australia's First Large Digital Hospital: A Teaching Case. - Rebekah Eden; Andrew Burton-Jones; Cameron Ballantine; Andrew Staib; Clair Sullivan (ICIS, 2020)

Changing the conversation on evaluating digital transformation in healthcare: Insights from an institutional analysis. - Andrew Burton-Jones; Saeed Akhlaghpour; Stephen Ayre; Payal Barde; Andrew Staib; Clair Sullivan (Inf. Organ., 2020)

Predicting waiting time to treatment for emergency department patients. - Anton Pak; Brenda Gannon; Andrew Staib (Int. J. Medical Informatics, 2021)

The Digital Transformation Journey of a Large Australian Hospital: A Teaching Case. - Rebekah Eden; Andrew Burton-Jones; Cameron Ballantine; Raelene Donovan; Daniel McKavanagh; Andrew Staib; Clair Sullivan (Commun. Assoc. Inf. Syst., 2022)

Stochastic-Aware Comparative Process Mining in Healthcare. - Tabib Ibne Mazhar; Asad Tariq; Sander J. J. Leemans; Kanika Goel 002; Moe Thandar Wynn; Andrew Staib (BPM, 2023)

Unveiling the value of big data analytics use: A digital hospital case study. - Yi-Ting Yeh; Rebekah Eden; Erwin Fielt; Rehan Syed; Raelene Donovan; Robert Eley; Andrew Staib (ECIS, 2023)

Digital Health Data Imperfection Patterns and Their Manifestations in an Australian Digital Hospital. - Kanika Goel 002; Sareh Sadeghianasl; Robert Andrews 001; Arthur H. M. ter Hofstede; Moe Wynn; Dakshi Kapugama Geeganage; Sander J. J. Leemans; James M. McGree; Rebekah Eden; Andrew Staib; Rob Eley; Raelene Donovan (HICSS, 2023)

Revealing the Root Causes of Digital Health Data Quality Issues: A Qualitative Investigation of the Odigos Framework. - Rebekah Eden; Rehan Syed; Tendai Makasi; Robert Andrews 001; Arthur H. M. ter Hofstede; Moe Wynn; Raelene Donovan; Robert Eley; Andrew Staib (HICSS, 2023)

Predicting Patient Acuity in Tele-Triage Using Large Language Models: A Computational Design Science Approach. - Hetiao (Slim) Xie; Morteza Namvar; Saeed Akhlaghpour; Andrew Staib (PACIS, 2025)