Why good ideas fail: measure adoption before it’s too late

Maria Alejandra  Pinero de Plaza

Why good ideas fail: measure adoption before it’s too late

College of Nursing and Health Sciences

Research output: Other contribution

Abstract

Governments, funders, and industries invest billions in health care, AI, renewables, mining, fintech, and even the space industry. Yet many pilots stall after early promise. The issue is not invention but adoption: without sustained use, innovations risk fading into unfulfilled promises.

Original language	English
Type	Blogpost
Media of output	Online
Publisher	Springer Nature
Publication status	Published - 20 Sept 2025

Publication series

Name	Springer Nature Research Communities
Publisher	Springer Nature

Keywords

Implementation science
Adoption behavior
Evaluation
Health innovation
Evidence-based practice
Knowledge translation
Public health policy
Intervention strategies
Impact assessment

NTRO Type of Output

Major

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

https://go.nature.com/3KauKhDLicence: In Copyright

Certificate of Excellence – KAMS 2025 Excellence in Educational Standards
Pinero de Plaza, M. A. (Recipient), Oct 2025
Prize

File
CSIRO On Prime Innovation Reward 2024
Pinero de Plaza, M. A. (Recipient), Marmolejo Ramos, F. (Recipient) & Morton, E. (Recipient), 20 Nov 2024
Prize
Healthcare Innovator Award 2024
Pinero de Plaza, M. A. (Recipient), 5 Dec 2024
Prize: Honorary award

2 Invited talk
1 Consultancy
1 Other
1 Oral presentation

HTSA Implementation Science Network Forum: "Human-centred AI for Emergency Cardiac Care: Evaluating RAPIDx AI with PROLIFERATE_AI"
Pinero de Plaza, M. A. (Author)
31 Mar 2025
Activity: Talk or presentation types › Invited talk
Global Impact and Recognition of the PROLIFERATE_AI Method
Pinero de Plaza, M. A. (Participant), Lambrakis, K. (Participant), Marmolejo Ramos, F. (Participant), Beleigoli, A. (Participant), Archibald, M. (Participant), Yadav, L. (Participant), McMillan, P. (Participant), Clark, R. (Participant), Lawless, M. (Participant), Morton, E. (Participant), Hendriks, J. (Participant), Kitson, A. (Participant), Visvanathan, R. (Participant), Chew, D. (Participant) & Javier Barrera Causil, C. (Participant)
Jan 2025 → Mar 2025
Activity: Other activity types › Other
Visibility in STEM and Medical, Practice/Research/Higher Education: Empowering Diverse Voices
Pinero de Plaza, M. A. (Author)
9 Dec 2025
Activity: Talk or presentation types › Oral presentation

File

4 Article
1 Conference contribution
1 Poster
1 Meeting Abstract

Advancing Digital Evaluation for Inter-Professional Education: A PROLIFERATE_AI Mixed-Methods Analysis
Pinero De Plaza, M. A., 12 Nov 2025, Health. Innovation. Community: Engage. Disrupt. Transform: Papers from the 29th Australasian Institute of Digital Health’s Health Innovation Community (HIC2025) Conference . Bichel-Findlay, J. (ed.). Amsterdam: IOS Press, p. 82-86 5 p. (Studies in health technology and informatics; vol. 333).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
File
1 Downloads (Pure)
From Comprehension to Behaviour: A PROLIFERATE_AI Secondary Analysis of RAPIDx AI Adoption Across South Australian Emergency Departments
Pinero de Plaza, D. M. A., 1 Dec 2025. 1 p.
Research output: Contribution to conference › Poster › peer-review
How Context Shapes Person-Centred Fundamental Care Through Nurse–Patient Relationships: Validation of the FoC Intelligence Modelling Tool and Predictive Pathway Analysis
Allande-Cussó, R., Pinero de Plaza, M. A., Kitson, A., Feo, R., Conroy, T. & Porcel-Gálvez, A. M., 11 Nov 2025, (E-pub ahead of print) In: Journal of Advanced Nursing. 11 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
1 Downloads (Pure)

Cite this

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Why good ideas fail: measure adoption before it’s too late

Abstract

Publication series

Keywords

NTRO Type of Output

UN SDGs

Access to Document

Fingerprint

Prizes

Activities

Research output

Cite this