Evidence map›Paper›PMID 41018723›Full record

ArticleComputational and structural biotechnology journal2025

A heuristics matrix for evaluating the learnability of safety critical medical systems.

Jessica Turner, Judy Bowen, Veela Moxham-Bettridge

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jessica Turner
Judy Bowen
Veela Moxham-Bettridge

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing use of medical devices in non-clinical settings has elevated the importance of learnability, a key aspect of usability, that is defined as how easily users can learn to operate a system. While learnability is recognised in international usability standards, its varied definitions and inconsistent application emphasise the need for more targeted evaluation methods. This paper addresses this gap by proposing a framework for assessing learnability based on user experience levels and context of use. We define a set of user categories and introduce a learnability matrix to evaluate how different types of users, such as patients, caregivers, and medical professionals, interact with medical technologies. To illustrate the methodology, we perform a case study using the Medtronic MiniMed 770G insulin pump system. Our analysis shows that while primary and secondary users are often well-supported, passive, infrequent or adhoc users may face challenges in learning to use the device effectively in emergency settings. These findings underscore the need for more inclusive design and evaluation approaches that account for multiple user roles, to improve the safety and usability of home-based medical technologies.

Indexed as

Heuristic evaluationInteractive systemsLearnabilitySafety-critical devicesUsabilityUser perspectives

Identifiers

PMID41018723
PMCPMC12475575

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.