Evidence map›Paper›PMID 41278054›Full record

ArticleCureus2025

From Pen to Portal: Using Artificial Intelligence to Evaluate the Impact of Electronic Patient Information and Communication (EPIC) on the Quality of Urology Clinic Letters at a Major London Hospital.

Theodore Patel, Nawal Khan, Jonathan Huntley, Nicholas Raison

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

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1 · What the graph read from it

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Theodore PatelGeneral Surgery, King's College Hospital, London, GBR.
Nawal KhanUrology, King's College Hospital, London, GBR.
Jonathan HuntleyFinancial Mathematics, King's College London, London, GBR.
Nicholas RaisonUrology, King's College Hospital, London, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background High-quality documentation is an essential part of providing patients with good clinical care. Clinical letters promote continuity, reduce errors, and communicate effectively between healthcare professionals. EPIC (Electronic Patient Information and Communication), an electronic patient record system introduced across several London hospitals, aims to improve the quality and consistency of documentation. There is limited evaluation of its impact on urology clinic letters. Aims The main aim of this is to evaluate the impact of EPIC implementation on the quality, structure, and readability of urology outpatient letters at King's College Hospital, a major London teaching hospital. Methods A retrospective analysis compared consultant-authored urology clinic letters before and after EPIC introduction. The pre-EPIC dataset included 115 patients (119 letters, 2003-2023), and the post-EPIC dataset included 170 patients (209 letters, 2024-2025). Each letter was assessed for structure, language, and readability, using objective metrics, including word and sentence counts, syllables, and recognised readability indices. Quality was further assessed using the Sheffield Assessment Instrument for Letters (SAIL). Results Following EPIC implementation, letters were shorter and more concise, with lower character and syllable counts. Readability improved: Flesch-Kincaid grade level decreased from 8.7 to 7.9 (p < 0.001); Gunning Fog Index decreased from 12.1 to 11.4 (p = 0.017); and Coleman-Liau Index increased from 19.0 to 20.1 (p = 0.003), indicating simpler phrasing and clearer structure. SAIL analysis showed significantly higher global quality scores (7.5 vs 6.0; p < 0.01), and improved content validity, with letters demonstrating clearer communication and better organisation.  Conclusions The introduction of EPIC produced measurable improvements in the clarity, structure, and overall quality of urology clinic letters. EPIC enhanced documentation consistency and supported clearer communication between clinicians and patients.

Indexed as

clinic lettersepicquality improvementreadabilityurology

Identifiers

PMID41278054
PMCPMC12639532

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