Professor Ajit Narayanan

Consultant Profile

Professor Ajit Narayanan
Head of Research, School of Computer and Mathematical Sciences
Faculty of Design and Creative Technologies

Qualifications: BSc (Hons), PhD

Memberships & Affiliations: & IEEE; ACM

Research Areas:

Healthcare Statistics; Biostatistics; Big Data Analytics.

Current Research Projects:

Pharmacy patient feedback; colleague and patient feedback on primary and secondary care doctors; patient satisfaction models; dental practice patient feedback.

Current Consulting Areas & Projects:

Primary health care feedback in Queensland (CheckUP Census Report 2013); Three-phase Australian pharmacy patient feedback study for possible use in accreditation of pharmacies; differences in patient feedback models based on ethnicity; identifying minimum number of responses to assure reliability of feedback data.

Publications:

Accepted for Publication:

  1. Narayanan, A. and Greco, M. The Dental Practice Questionnaire: A patient feedback tool for improving the quality of dental practices.  Australian Dental Association Journal. Sept 2014
  2. Narayanan, A., Greco, M. Reeves, P. et al Community pharmacy performance evaluation: Reliability and validity of the Pharmacy Patient Questionnaire (PPQ). International Journal of Healthcare Management. Sept 2014

Published:

  1. Ajit Narayanan, Michael Greco, Helen Powell, and Louise Coleman. The Reliability of Big "Patient Satisfaction" Data. Big Data. September 2013, 1(3): 141-151. doi:10.1089/big.2013.0021.
  2. Narayanan, A.; Greco, M.; Powell, H. and Bealing T.  2011.  Measuring performance of hospital doctors through colleague and patient feedback.  Journal of Management & Marketing in Healthcare. Vol.4, No.2:180-195.
  3. L Baker, M J Greco and A Narayanan . Doctors using patient feedback to establish professional learning goals:  Results from a communication skill development programme.  Chapter 22 (pp 303-314) in  Pease, W.; Cooper, M. and Gururajan, R. 2010. Biomedical Knowledge Management: Infrastructures and Processes for E-Health Systems. IGI Publishing, Pennsylvania USA.
  4. Narayanan, A, Greco, M. and Campbell, J.  2010. Generalisability for unbalanced, uncrossed and fully nested studies. Medical Education, 44: 367–378.
  5. Campbell, JL; Richards, SH; Dickens, A; Greco, M; Narayanan, A. and Brearley, S. 2008.  Assessing the professional performance of UK doctors: an evaluation of the utility of the General Medical Council patient and colleague questionnaires.  Quality in Health Care.  Vol.17, No.3: 187-193.

Biography:

Ajit Narayanan is Professor in the School of Computer and Mathematical Sciences, Auckland University of Technology, New Zealand. He has over 100 journal and international conference publications in the areas of computational statistics, bioinformatics, machine learning, artificial intelligence and nature-inspired computing. He is statistical consultant on a number of healthcare related projects, with a special interest in analysing patient satisfaction and colleague feedback data as well as identifying potential biomarkers in gene expression data. He has a BSc (Hons) from the University of Aston and a PhD from the University of Exeter.