Implementation and Evaluation of an Offline RPA-Based Scheduling Visualization Tool for Radiotherapy Under Security Constraints.
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 autom...
| Publicado en: | Journal of Medical Systems Vol. 49; no. 1; pp. 1 - 6 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
8/7/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=187165603&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 187165603 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: 8/7/2025 vid: 49 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 187165603 187165603 187165603 10.1007/s10916-025-02238-4 187165603 ppf: 1 ppct: 5 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Implementation and Evaluation of an Offline RPA-Based Scheduling Visualization Tool for Radiotherapy Under Security Constraints. aug: au: Ito, Takuya Takeo, Ryuhei affil: Department of Radiotherapy Quality Management, Sanshikai Tomei Atsugi Hospital, Atsugi, Japan sug: subj: Implementation Science Robotics Automation Workflow Software Radiotherapy Appointments and Schedules Access to Information Radiology Information Systems Data Security Human Japan Hospital Policies Graphical User Interface Electronic Health Records Tomography, X-Ray Computed Simulations Community Health Centers Descriptive Statistics Summated Rating Scaling Workload Treatment Errors Prevention and Control Information Technology Productivity ab: 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. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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