Evaluation of a Single-Center Pilot Digital Inpatient Referral System: A Mixed-Methods Study

ERSHA demonstrated the feasibility and acceptability of a clinician-led, in-house digital referral platform developed without external IT support. The system was implemented in place of the traditional paper process, offering a secure and auditable digital workflow that clinicians perceived as more convenient, accessible, and transparent. Reported improvements were observational and based on user feedback rather than comparative metrics. Despite challenges such as single-server dependency and limited survey participation, the project illustrates the potential of locally driven innovation to support practical digitization within National Health Service hospitals. These findings should be viewed as exploratory and hypothesis-generating, with future iterations aiming to incorporate structured analytics, predictive features, and machine-learning-assisted triage to further enhance referral management and inpatient care.

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Publication Details

Journal
Cureus
Published
2025-11-25
DOI
https://doi.org/10.7759/cureus.97728
Primary Topic
Healthcare Systems and Technology
Type
article
Field-Weighted Citation Impact
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article

Evaluation of a Single-Center Pilot Digital Inpatient Referral System: A Mixed-Methods Study

Saman Jeddi
Cureus
Healthcare Systems and Technology
article

Evaluation of a Single-Center Pilot Digital Inpatient Referral System: A Mixed-Methods Study

Saman Jeddi
article en

Abstract

ERSHA demonstrated the feasibility and acceptability of a clinician-led, in-house digital referral platform developed without external IT support. The system was implemented in place of the traditional paper process, offering a secure and auditable digital workflow that clinicians perceived as more convenient, accessible, and transparent. Reported improvements were observational and based on user feedback rather than comparative metrics. Despite challenges such as single-server dependency and limited survey participation, the project illustrates the potential of locally driven innovation to support practical digitization within National Health Service hospitals. These findings should be viewed as exploratory and hypothesis-generating, with future iterations aiming to incorporate structured analytics, predictive features, and machine-learning-assisted triage to further enhance referral management and inpatient care.

CureusVol. 17(11)
Queen Elizabeth Hospital King's Lynn NHS Foundation Trust (GB), Basildon Hospital (GB)
Openalex Percentile: Top 57%
Healthcare Systems and Technology
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Evaluation of a Single-Center Pilot Digital Inpatient Referral System: A Mixed-Methods Study — Saman Jeddi · Cureus (2025) | TGRS Research Map | TGRS