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From Complexity to Action: Implementing Innovation within Adaptive Systems: Digital Health, AI, and the PROLIFERATE Framework

Activity: Talk or presentation types › Invited talk

Description

Role
Invited guest lecturer / invited speaker

Degree of recognition
Institutional

Host/organiser
HLTH7011 Contemporary Issues in Health Research, College of Health and Enablement, Flinders University

Inviting academic / topic coordinator
Dr Boris Budiono

Date
4 June 2026

Location
Flinders University, Adelaide, Australia
In-person with Teams option for remote students


Delivered an invited guest lecture for HLTH7011 Contemporary Issues in Health Research at Flinders University’s College of Health and Enablement, focused on digital health, AI implementation, implementation science, complexity science, and research translation.

The session examined why promising health innovations often struggle to move into routine practice, asking whether implementation challenges stem from the technology, evidence, workflow, people, system conditions, or how success is evaluated. Using examples from RAPIDx_AI and PROLIFERATE_AI, the lecture invited Honours students to examine implementation as a real-world, human, organisational, and system-level challenge.

The session connected live research outputs with curriculum by introducing students to applied frameworks for understanding innovation uptake, usability, stakeholder engagement, barriers, optimisation, and evaluation within complex adaptive health systems. Students were invited to consider not only whether an innovation works, but for whom, in what context, under what conditions, and at what cost.

A simplified pre-class and in-class activity was also developed to support student engagement. Students were invited to reflect on a health, social care, digital health, education, or organisational innovation they had encountered, and to use these examples during the session to discuss how innovations move through complex systems, who is involved, what barriers emerge, and how implementation can be improved.

This activity contributed to research impact and knowledge translation by embedding current research from RAPIDx_AI, PROLIFERATE, and PROLIFERATE_AI into Honours-level teaching, supporting future clinicians, researchers, managers, and policymakers to engage critically with evidence, digital health, AI, and implementation in practice.

Related research/examples used
RAPIDx_AI
PROLIFERATE
PROLIFERATE_AI
Digital health and AI implementation
Implementation science and complexity science
Knowledge translation and systems thinking

Keywords
Implementation science; Digital health; AI in healthcare; Knowledge translation; Research impact; Health systems; PROLIFERATE; PROLIFERATE_AI; RAPIDx_AI; Higher education; Curriculum-embedded research translation; Flinders University
Period4 Jun 2026
Degree of RecognitionNational

Keywords

  • Implementation science
  • Digital health
  • AI in healthcare
  • Knowledge translation
  • Health systems
  • PROLIFERATE
  • PROLIFERATE_AI
  • Higher education
  • Curriculum-embedded research translation

Documents & Links

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