ArticleBMC medical informatics and decision making2011
Development of a real-time clinical decision support system upon the Web MVC-based architecture for prostate cancer treatment.
Article in BMC medical informatics and decision making, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- A systematic literature review of AI-based digital decision support systems for post-traumatic stress disorder.Frontiers in psychiatry · 2022Pooled it
- PCaGuard: A Software Platform to Support Optimal Management of Prostate Cancer.Applied clinical informatics · 2022Article
- Prostate cancer trajectory-map: clinical decision support system for prognosis management of radical prostatectomy.Prostate international · 2021Article
- Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology.BMC medical informatics and decision making · 2020Article
- Efficacy of CPP-ACP and CPP-ACPF for Prevention and Remineralization of White Spot Lesions in Orthodontic Patients: a Systematic Review of Randomized Controlled Clinical Trials.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2019Article
- Development of Decision Support System to Predict Neurofeedback Response in ADHD: an Artificial Neural Network Approach.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2019Article
- Attitudes toward inter-hospital electronic patient record exchange: discrepancies among physicians, medical record staff, and patients.BMC health services research · 2015Article
- Measurement equivalence and feasibility of the EORTC QLQ-PR25: paper-and-pencil versus touch-screen administration.Health and quality of life outcomes · 2014Article
- An intelligent clinical decision support system for patient-specific predictions to improve cervical intraepithelial neoplasia detection.BioMed research international · 2014Article
- Interdisciplinary decision making in prostate cancer therapy - 5-years' time trends at the Interdisciplinary Prostate Cancer Center (IPC) of the Charité Berlin.BMC medical informatics and decision making · 2013Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA real-time clinical decision support system (RTCDSS) with interactive diagrams enables clinicians to instantly and efficiently track patients' clinical records (PCRs) and improve their quality of clinical care. We propose a RTCDSS to process online clinical informatics from multiple databases for clinical decision making in the treatment of prostate cancer based on Web Model-View-Controller (MVC) architecture, by which the system can easily be adapted to different diseases and applications.
methodsWe designed a framework upon the Web MVC-based architecture in which the reusable and extractable models can be conveniently adapted to other hospital information systems and which allows for efficient database integration. Then, we determined the clinical variables of the prostate cancer treatment based on participating clinicians' opinions and developed a computational model to determine the pretreatment parameters. Furthermore, the components of the RTCDSS integrated PCRs and decision factors for real-time analysis to provide evidence-based diagrams upon the clinician-oriented interface for visualization of treatment guidance and health risk assessment.
resultsThe resulting system can improve quality of clinical treatment by allowing clinicians to concurrently analyze and evaluate the clinical markers of prostate cancer patients with instantaneous clinical data and evidence-based diagrams which can automatically identify pretreatment parameters. Moreover, the proposed RTCDSS can aid interactions between patients and clinicians.
conclusionsOur proposed framework supports online clinical informatics, evaluates treatment risks, offers interactive guidance, and provides real-time reference for decision making in the treatment of prostate cancer. The developed clinician-oriented interface can assist clinicians in conveniently presenting evidence-based information to patients and can be readily adapted to an existing hospital information system and be easily applied in other chronic diseases.
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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.