Impact of a mobile reference application on the efficiency and accuracy of cardiac implantable electronic device data retrieval: a comparative pilot study

Q: What are the key findings of this study?

The dedicated mobile application reduced mean retrieval time and achieved higher accuracy compared to conventional methods.

Q: What is the clinical evidence from this study?

Population: Retrieval of cardiac implantable electronic device (CIED) technical information (n=37). Intervention: Dedicated mobile reference application (iPacemaker) vs. Conventional methods (manuals, PDFs, and web search). Primary outcome: Mean retrieval time per question (seconds) (p=<0.0001).

Q: What question did this study set out to answer?

To compare conventional search methods, artificial intelligence-assisted search, and a dedicated mobile reference application for the retrieval speed and accuracy of technical cardiac implantable electronic device data.

Matteo Ziacchi; S. Datteri; Serge Bovéda; Sakis Themistoclakis; Pascal Defaye; Giuseppe Coppola; Giulio Molon; Domenico Giovanni Della Rocca; Matteo Bertini; Jean‐Claude Deharo; Federico Migliore; Giuseppe A. Sgarito; Martina Nesti; Christophe Leclercq; Mauro Biffi

doi:10.1093/europace/euag206

August 1, 2026EP EuropaceOpen Access

Impact of a mobile reference application on the efficiency and accuracy of cardiac implantable electronic device data retrieval: a comparative pilot study

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Key result

Dedicated mobile app cuts CIED data retrieval time ~80% vs conventional methods.

P<0.0001
n=37

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Why the study?

Does a dedicated mobile reference application improve the efficiency and accuracy of cardiac implantable electronic device data retrieval compared to conventional methods and AI search in CIED professionals?

Key Points

To compare conventional search methods, artificial intelligence-assisted search, and a dedicated mobile reference application for the retrieval speed and accuracy of technical cardiac implantable electronic device data.
Multicentre pilot study across 18 hospitals in Italy and France involving 24 physicians and 13 technicians/nurses experienced in CIED management.
Participants answered four structured technical question categories across three randomly sequenced modalities: conventional methods (manuals, PDFs, web search), a mobile application (iPacemaker), and AI-assisted search (ChatGPT).
Retrieval time (capped at 15 min per question) was recorded and accuracy was verified against official manufacturer documentation.
Mean retrieval times were 264 ± 277 s with conventional methods, 56 ± 29 s with AI-assisted search, and 53 ± 44 s with the mobile application (P < 0.0001 vs conventional methods; P = 0.98 for mobile app vs AI).
The mobile application's automatic output achieved 100% (148/148) accuracy and 95.9% (142/148) on participant-completed forms, outperforming AI-assisted search at 80.4% (119/148) and conventional methods at 56.8% (84/148).
Incorrect AI-generated responses were delivered in a confident, affirmative tone without uncertainty flags, predominantly affecting multivariable queries including device–lead MRI compatibility and longevity.

Structured PICO

Does a dedicated mobile reference application improve the efficiency and accuracy of cardiac implantable electronic device data retrieval compared to conventional methods and AI search in CIED professionals?

P

Population

37 physicians and allied professionals experienced in CIED management from 18 hospitals evaluated digital versus conventional information retrieval methods.

I

Intervention

Dedicated structured mobile reference application (iPacemaker) and AI-assisted search (ChatGPT) for retrieving CIED data

C

Comparator

Conventional methods (manuals, PDFs, and web search)

O

Outcome

Mean information retrieval time per question and answer accuracy assessed against official manufacturer documentation

Main Result

Absolute Event Rate: 53% vs 264%

p-value: p=<0.0001

A structured domain-specific mobile reference application allows significantly faster and more accurate retrieval of CIED technical information compared with both conventional manual search and general-purpose AI systems.

Limitations

Pilot design
Limited number of questions per participant
Single AI system tested
pilot design
limited number of questions per participant
single AI system tested

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Implication

May shorten CIED data retrieval in practice; leaves open prospective validation versus AI and effects on outcomes.

Abstract

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Cite This Study

Ziacchi et al. (2026) studied Retrieval of cardiac implantable electronic device (CIED) technical information (n=37). Dedicated mobile reference application (iPacemaker) vs. Conventional methods (manuals, PDFs, and web search) was evaluated on Mean retrieval time per question (seconds) (p=<0.0001). The dedicated mobile application reduced mean retrieval time and achieved higher accuracy compared to conventional methods.

synapsesocial.com/papers/6ad115b800741cc3fba7d872 https://doi.org/10.1093/europace/euag206

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Impact of a mobile reference application on the efficiency and accuracy of cardiac implantable electronic device data retrieval: a comparative pilot study

Figures

Key Points

Structured PICO

Main Result

Limitations

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Impact of a mobile reference application on the efficiency and accuracy of cardiac implantable electronic device data retrieval: a comparative pilot study

Figures

Key Points

Structured PICO

Main Result

Limitations

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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