Evidence map›Paper›PMID 40770506›Full record

ArticleJournal of medical systems2025

Implementation and Evaluation of an Offline RPA-Based Scheduling Visualization Tool for Radiotherapy Under Security Constraints.

Takuya Ito, Ryuhei Takeo

Abstract read
In one paragraph

Article in Journal of medical systems, 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

2 authors.

Takuya ItoDepartment of Radiotherapy Quality Management, Sanshikai Tomei Atsugi Hospital, Atsugi, Japan. takuya@pioncloud.com.
Ryuhei TakeoGeneral Affairs Department, Sanshikai, Atsugi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Timely access to radiotherapy appointment information remains challenging in hospitals-including many in Japan-due to fragmented information systems and strict security policies restricting access to databases or application programming interfaces (API). We developed an offline robotic process automation (RPA) workflow that captures scheduling data directly from the graphical user interfaces (GUIs) of the electronic medical record (EMR) and radiology information system (RIS) consolidating new-patient consultations, computed tomography (CT) simulations, and first-fraction irradiation sessions into a color-coded, four-week Excel calendar. The robot, scripted using the no-code KEYENCE RK-10 environment, logs into each application, applies rule-based filters, exports comma-separated-values (CSV) files, and populates a pre-formatted template without requiring any back-end modifications. During a two-week deployment at a community radiotherapy center, each weekday run finished in a median 3.9 min [inter-quartile range, IQR 3.1-4.8 min] and listed 36 appointments (16 consultations, five CTs, and 15 first-fraction irradiations). Two discrepancies compared to a legacy whiteboard revealed manual omissions. A semi-structured survey of 12 staff members recorded the highest Likert score [median 5.0, IQR 4.0-5.0] for reductions in documentation time, perceived workload, and error frequency in favor of the RPA implementation. This lightweight GUI-level approach provides a secure and rapidly deployable solution for small- to medium-sized radiotherapy centers operating under stringent information-technology (IT) policies, enhancing scheduling accuracy and staff efficiency without database integration. EMR, RPA, Radiation Therapy, Automation, Visualization.

Indexed as

Appointments and SchedulesComputer SecurityRadiology Information SystemsElectronic Health RecordsHumansJapanUser-Computer InterfaceWorkflow

Identifiers

PMID40770506
PMCPMC12328462

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.