Leanna Woods1,2,3, Rebekah Eden4, Andrew Pearce5, Yu Ching Ides Wong6, Lakshmi Jayan5, Damian Green7, Keith McNeil6, Clair Sullivan1,3,8. 1. Centre for Health Services Research, The University of Queensland, Brisbane, Australia. 2. Digital Health Cooperative Research Centre, Sydney, Australia. 3. Queensland Digital Health Centre, The University of Queensland, Brisbane, Australia. 4. School of Information Systems, Queensland University of Technology, Brisbane, Australia. 5. Healthcare Information and Management Systems Society, Singapore, Singapore. 6. Prevention Division, Queensland Health, Brisbane, Australia. 7. eHealth Queensland, Queensland Health, Brisbane, Australia. 8. Digital Metro North, Metro North Hospital and Health Service, Brisbane, Australia.
Abstract
BACKGROUND: Health service providers must understand their digital health capability if they are to drive digital transformation in a strategic and informed manner. Little is known about the assessment and benchmarking of digital maturity or capability at scale across an entire jurisdiction. The public health care system across the state of Queensland, Australia has an ambitious 10-year digital transformation strategy. OBJECTIVE: The aim of this research was to evaluate the digital health capability in Queensland to inform digital health strategy and investment. METHODS: The Healthcare Information and Management Systems Society Digital Health Indicator (DHI) was used via a cross-sectional survey design to assess four core dimensions of digital health transformation: governance and workforce; interoperability; person-enabled health; and predictive analytics across an entire jurisdiction simultaneously. The DHI questionnaire was completed by each health care system (n = 16) within Queensland in February to July 2021. DHI is scored 0 to 400 and dimension score is 0 to 100. RESULTS: The results reveal a variation in DHI scores reflecting the diverse stages of health care digitization across the state. The average DHI score across sites was 143 (range 78-193; SD35.3) which is similar to other systems in the Oceania region and global public systems but below the global private average. Governance and workforce was on average the highest scoring dimension (x̅= 54), followed by interoperability (x̅ = 46), person-enabled health (x̅ = 36), and predictive analytics (x̅ = 30). CONCLUSION: The findings were incorporated into the new digital health strategy for the jurisdiction. As one of the largest single simultaneous assessments of digital health capability globally, the findings and lessons learnt offer insights for policy makers and organizational managers. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
BACKGROUND: Health service providers must understand their digital health capability if they are to drive digital transformation in a strategic and informed manner. Little is known about the assessment and benchmarking of digital maturity or capability at scale across an entire jurisdiction. The public health care system across the state of Queensland, Australia has an ambitious 10-year digital transformation strategy. OBJECTIVE: The aim of this research was to evaluate the digital health capability in Queensland to inform digital health strategy and investment. METHODS: The Healthcare Information and Management Systems Society Digital Health Indicator (DHI) was used via a cross-sectional survey design to assess four core dimensions of digital health transformation: governance and workforce; interoperability; person-enabled health; and predictive analytics across an entire jurisdiction simultaneously. The DHI questionnaire was completed by each health care system (n = 16) within Queensland in February to July 2021. DHI is scored 0 to 400 and dimension score is 0 to 100. RESULTS: The results reveal a variation in DHI scores reflecting the diverse stages of health care digitization across the state. The average DHI score across sites was 143 (range 78-193; SD35.3) which is similar to other systems in the Oceania region and global public systems but below the global private average. Governance and workforce was on average the highest scoring dimension (x̅= 54), followed by interoperability (x̅ = 46), person-enabled health (x̅ = 36), and predictive analytics (x̅ = 30). CONCLUSION: The findings were incorporated into the new digital health strategy for the jurisdiction. As one of the largest single simultaneous assessments of digital health capability globally, the findings and lessons learnt offer insights for policy makers and organizational managers. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
Authors: Kathrin Cresswell; Aziz Sheikh; Marta Krasuska; Catherine Heeney; Bryony Dean Franklin; Wendy Lane; Hajar Mozaffar; Kathy Mason; Sally Eason; Susan Hinder; Henry W W Potts; Robin Williams Journal: Lancet Digit Health Date: 2019-08-22
Authors: Marta Krasuska; Robin Williams; Aziz Sheikh; Bryony Dean Franklin; Catherine Heeney; Wendy Lane; Hajar Mozaffar; Kathy Mason; Sally Eason; Susan Hinder; Rachel Dunscombe; Henry W W Potts; Kathrin Cresswell Journal: J Med Internet Res Date: 2020-08-18 Impact factor: 5.428
Authors: Hadi Kharrazi; Claudia P Gonzalez; Kevin B Lowe; Timothy R Huerta; Eric W Ford Journal: J Med Internet Res Date: 2018-08-07 Impact factor: 5.428