Sankalp Khanna
Sankalp Khanna
CSIRO Australian e-Health Research Centre
Verified email at csiro.au
Title
Cited by
Cited by
Year
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
892016
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
772012
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
392016
Impact of Admission and Discharge Peak Times on Hospital Overcrowding.
S Khanna, JR Boyle, N Good, J Lind
HIC, 82-88, 2011
362011
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
242013
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
202017
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
172013
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
172004
Predicting procedure duration to improve scheduling of elective surgery
Z ShahabiKargar, S Khanna, N Good, A Sattar, J Lind, J O’Dwyer
Pacific Rim International Conference on Artificial Intelligence, 998-1009, 2014
152014
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
152012
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
142012
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 (S1), S4, 2015
112015
Artificial intelligence in health–the three big challenges
S Khanna, A Sattar, D Hansen
The Australasian medical journal 6 (5), 315, 2013
112013
Using prediction to improve elective surgery scheduling
ZS Kargar, S Khanna, A Sattar
The Australasian medical journal 6 (5), 287, 2013
112013
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
102009
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
92014
Hospital level analysis to improve patient flow
S BUGDEN, M SCOTT
Health Informatics: Digital Health Service Delivery-The Future is Now …, 2013
92013
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
82015
Improved Prediction of Procedure Duration for Elective Surgery.
Z ShahabiKargar, S Khanna, A Sattar, J Lind
HIC, 133-138, 2017
72017
Precise prediction for managing chronic disease readmissions
S Khanna, J Boyle, N Good
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
72014
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