Sankalp Khanna
Sankalp Khanna
CSIRO Australian e-Health Research Centre
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Cited by
Cited by
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
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
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
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
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
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
Artificial intelligence in health–the three big challenges
S Khanna, A Sattar, D Hansen
The Australasian medical journal 6 (5), 315, 2013
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
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
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
Improved Prediction of Procedure Duration for Elective Surgery.
Z ShahabiKargar, S Khanna, A Sattar, J Lind
HIC, 133-138, 2017
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
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
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
Using prediction to improve elective surgery scheduling
ZS Kargar, S Khanna, A Sattar
The Australasian medical journal 6 (5), 287, 2013
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
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
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
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
Using capacity alert calls to reduce overcrowding in a major public hospital
S Khanna, J Boyle, K Zeitz
Australian Health Review 38 (3), 318-324, 2014
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