The National Emergency Access Target (NEAT) and the 4‐hour rule: time to review the target C Sullivan, A Staib, S Khanna, NM Good, J Boyle, R Cattell, L Heiniger, ... Medical Journal of Australia 204 (9), 354-354, 2016 | 183 | 2016 |
Unravelling relationships: Hospital occupancy levels, discharge timing and emergency department access block S Khanna, J Boyle, N Good, J Lind Emergency Medicine Australasia 24 (5), 510-517, 2012 | 110 | 2012 |
Discharge timeliness and its impact on hospital crowding and emergency department flow performance S Khanna, D Sier, J Boyle, K Zeitz Emergency Medicine Australasia 28 (2), 164-170, 2016 | 101 | 2016 |
Impact of admission and discharge peak times on hospital overcrowding S Khanna, J Boyle, N Good, J Lind Health informatics: the transformative power of innovation, 82-88, 2011 | 52 | 2011 |
Analysing the emergency department patient journey: discovery of bottlenecks to emergency department patient flow S Khanna, J Boyle, N Good, A Bell, J Lind Emergency Medicine Australasia 29 (1), 18-23, 2017 | 40 | 2017 |
Artificial intelligence in health–the three big challenges S Khanna, A Sattar, D Hansen The Australasian medical journal 6 (5), 315, 2013 | 40 | 2013 |
Predicting procedure duration to improve scheduling of elective surgery Z ShahabiKargar, S Khanna, N Good, A Sattar, J Lind, J O’Dwyer PRICAI 2014: Trends in Artificial Intelligence: 13th Pacific Rim …, 2014 | 37 | 2014 |
Predicting patient deterioration: a review of tools in the digital hospital setting KD Mann, NM Good, F Fatehi, S Khanna, V Campbell, R Conway, ... Journal of medical Internet research 23 (9), e28209, 2021 | 33 | 2021 |
New emergency department quality measure: From access block to N ational E mergency A ccess T arget compliance S Khanna, J Boyle, N Good, J Lind Emergency Medicine Australasia 25 (6), 565-572, 2013 | 30 | 2013 |
Early discharge and its effect on ED length of stay and access block. S Khanna, JR Boyle, N Good, J Lind HIC, 92-98, 2012 | 27 | 2012 |
Probability of severe adverse events as a function of hospital occupancy J Boyle, K Zeitz, R Hoffman, S Khanna, J Beltrame IEEE journal of biomedical and health informatics 18 (1), 15-20, 2013 | 26 | 2013 |
A risk stratification tool for hospitalisation in Australia using primary care data S Khanna, DA Rolls, J Boyle, Y Xie, R Jayasena, M Hibbert, M Georgeff Scientific reports 9 (1), 5011, 2019 | 25 | 2019 |
Improved Prediction of Procedure Duration for Elective Surgery. Z ShahabiKargar, S Khanna, A Sattar, J Lind HIC, 133-138, 2017 | 24 | 2017 |
Using prediction to improve elective surgery scheduling ZS Kargar, S Khanna, A Sattar The Australasian medical journal 6 (5), 287, 2013 | 19 | 2013 |
An improved patient-specific mortality risk prediction in ICU in a random forest classification framework S Ghose, J Mitra, S Khanna, J Dowling Stud Health Technol Inform 214, 56-61, 2015 | 17 | 2015 |
An efficient method for indexing now-relative bitemporal data B Stantic, S Khanna, J Thornton Proceedings of the 15th Australasian database conference-Volume 27, 113-122, 2004 | 17 | 2004 |
Automatic detection of tweets reporting cases of influenza like illnesses in Australia G Zuccon, S Khanna, A Nguyen, J Boyle, M Hamlet, M Cameron Health information science and systems 3, 1-10, 2015 | 16 | 2015 |
Epidemiology and outcomes of early-onset AKI in COVID-19-related ARDS in comparison with non-COVID-19-related ARDS: insights from two prospective global cohort studies BA McNicholas, E Rezoagli, AJ Simpkin, S Khanna, JY Suen, P Yeung, ... Critical Care 27 (1), 3, 2023 | 15 | 2023 |
An efficient algorithm for solving dynamic complex DCOP problems S Khanna, A Sattar, D Hansen, B Stantic 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and …, 2009 | 15 | 2009 |
Time based clustering for analyzing acute hospital patient flow S Khanna, J Boyle, N Good, J Lind, K Zeitz 2012 Annual international conference of the IEEE engineering in medicine and …, 2012 | 14 | 2012 |