Publications
Publishing in academic journals is your opportunity to reach beyond regulators and connect with research funders, healthcare leaders, commissioners and clinicians worldwide.
The stakeholders that drive the adoption of digital health technologies are trained to seek out transparently reported, high-quality evidence to support their decisions. Academic publications allow you to satisfy this need by distilling key messages from your clinical investigations into a clear and compelling narrative for your target audience. Here are a few core considerations to make along the way:
Who do you want to speak to?
This might be one or more stakeholder groups. Each holds different disciplines, professions and geographies with its own expectations for the type, form and placement of evidence.What story do you want to tell?
Your clinical investigations hold a wealth of information, but focus should be your priority here. Think about the problem your audience experiences and pick the technical, clinical, economic or usability data which most clearly puts it to rest.Where do you want to publish?
The last two questions feed into this, but the reputation, time and cost of publications vary between journals. Think about what matters to you before picking your priorities.
Best Practices
Align with internationally recognised standards.
In answering the questions above, you should have identified the study type you plan to write about. Each of these study types is associated with a rigorously constructed reporting guideline. Explicitly applying these guidelines signals quality to reviewers and readers of your work. Here are examples of the most relevant ones for digital health innovations
MICLAIM: AI development and validation
TRIPOD*: prediction modelling
STARD*: diagnostic accuracy studies
DECIDE-AI: early-stage AI clinical evaluation
SPIRIT*: clinical trial protocols
CONSORT*: parallel group randomised trials
COREQ: qualitative research studies
CHEERS*: economic evaluations
TIDieR: describing interventions
* additional AI-specific extensions published or in development
Case Study
How Hardian solves the problem
Hardian works with clients to realise the full value proposition of their products from different stakeholdersโ perspectives. We then translate it into the style and form that delivers results. Services include manuscript drafting, drawing on independent insights of what really matters to potential adopters, and the sources of evidence they know and trust. See below for examples of articles and papers we have published in high impact journals:
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Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
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Preparing Medical Imaging Data for Machine Learning https://doi.org/10.1148/radiol.2020192224
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Can Apple and Google continue as health app gatekeepers as well as distributors and developers?
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More than meets the AI: refining image acquisition and resolution
Get in touch
Get in touch to see how Hardian can help you to publish effectively.