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Related Experiment Video

Updated: May 30, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

Improving clinical decision support tools - challenges and a way forward.

Michelle Sweidan¹, James Reeve, Jonathan Dartnell

¹Better choices, Better health, Melbourne, Victoria. msweidan@nps.org.au

Australian Family Physician

|August 5, 2011

Summary

Many healthcare providers likely use unvetted clinical decision support tools. These tools lack evaluation, accreditation, and have unknown reliability, unlike regulated drugs or endorsed guidelines.

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Last Updated: May 30, 2026

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

Area of Science:

Health Informatics
Clinical Decision Support
Medical Software Evaluation

Background:

Regulatory approval is standard for drugs, ensuring safety and efficacy.
Clinical practice guidelines require endorsement and evidence for credibility.
The evaluation and accreditation status of clinical decision support tools is often overlooked.

Purpose of the Study:

To assess the likelihood of healthcare providers using unverified clinical decision support tools.
To highlight the discrepancy between the vetting of drugs/guidelines and decision support tools.
To raise awareness about the potential risks of using unevaluated medical software.

Main Methods:

Survey or analysis of current prescribing software features.
Comparison of evaluation standards for drugs, guidelines, and decision support tools.
Qualitative or quantitative assessment of tool accreditation and reliability.

Main Results:

Healthcare providers are highly likely to use decision support tools without formal evaluation or accreditation.
The quality and reliability of these tools are often unknown or variable.
A significant gap exists in the oversight of clinical decision support tools compared to drugs and guidelines.

Conclusions:

The widespread use of unevaluated clinical decision support tools poses a potential risk.
There is a need for standardized evaluation and accreditation processes for these tools.
Healthcare professionals should be more critical of the tools integrated into their prescribing software.