Evidence map›Paper›PMID 40091994›Full record

ArticleCureus2025

Implementing Accurx for Total Triage Enhancing Care Navigation and Patient Experience.

Rahul Mittal, Ajith Kumar Kannan, Rajnish Mohindroo, Chakri Movva, Lai Zhang, Salma Reehana, Shankar Srinivasan

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

7 authors.

Rahul MittalHealth Informatics, Rutgers University, New Brunswick, USA.
Ajith Kumar KannanHealth Informatics, Rutgers University, New Brunswick, USA.
Rajnish MohindrooGeneral Practice, Health and Beyond Partnership, Wolverhampton, GBR.
Chakri MovvaHealth Informatics, Health and Beyond Partnership, Wolverhampton, GBR.
Lai ZhangHealth Informatics, Rutgers University, New Brunswick, USA.
Salma ReehanaGeneral Practice, Health and Beyond Partnership, Wolverhampton, GBR.
Shankar SrinivasanHealth Informatics, Rutgers University, New Brunswick, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Total triage is a transformative approach to healthcare delivery that uses digital platforms such as Accurx to replace traditional appointment scheduling with a remote-first system. Unlike conventional methods, total triage involves an initial remote assessment - via online forms, calls, or video consultations - to prioritize cases based on urgency and allocate resources more effectively. This system addresses challenges such as long wait times, excessive call volumes, and clinician burnout while improving accessibility and ensuring timely, patient-centered care. This research focuses on the challenges of implementation, particularly patterns of use related to call wait times and patient and staff experiences with the Accurx platform. Methods This retrospective study analyzed routinely collected data from the Bilston Urban Village (BUV) Medical Center between August 2023 and September 2024, focusing on the implementation of the Accurx total triage platform. A mixed-methods approach was employed to provide a comprehensive evaluation of its impact. Quantitative data were collected on call wait time metrics to assess system efficiency and identify patterns of use. Qualitative data were gathered through a patient satisfaction survey, capturing insights into patients' experiences. Additionally, staff feedback was taken into account to further understand perceived challenges and areas for improvement. Together, these data sources enabled an in-depth analysis of the platform's implementation phase. Results The implementation of the Accurx total triage platform at BUV Medical Center resulted in a 35% reduction in average call wait times compared to pre-implementation levels across all patient demographics, highlighting its efficiency in managing patient demand. Quantitative analysis showed a consistent decrease in wait times over the study period, alongside improved resource utilization. Qualitative data from anonymous patient satisfaction surveys indicated that 58% of respondents found the system easy to use and effective in addressing their healthcare needs. However, 14% reported challenges, including difficulties navigating the platform and delays in responses during peak times. Staff feedback reflected these findings, with the majority emphasizing the platform's ability to streamline triage and reduce administrative burden while identifying challenges such as the need for better support during high-demand periods. These findings contribute to addressing the broader NHS challenges of managing call volumes and underscore the platform's overall effectiveness while highlighting specific areas for improvement, particularly in accessibility and responsiveness. Conclusion The Accurx total triage platform improved efficiency and patient and staff satisfaction at BUV Medical Center, particularly by reducing call wait times and streamlining access to care. Despite these successes, challenges such as navigation difficulties highlight areas for enhancement. Addressing these barriers and optimizing the system's functionality will be crucial for sustaining its long-term impact. Overall, the study underscores the potential of digital triage systems to transform healthcare delivery by improving access, resource utilization, and patient experiences.

Indexed as

ehr analysiselectronic health record (ehr)emergency informaticsinformaticspatient triage

Identifiers

PMID40091994
PMCPMC11910386

What OpenQuestion holds

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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.