Structured Data Acquisition in Oncology

Henkel, Maurice; Stieltjes, Bram

doi:10.1159/000504259

Cited by 8 publications

(8 citation statements)

References 39 publications

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“…Healthcare professionals are challenged with increasing complexity of interdisciplinary care and rising amounts of patient data. In order to ensure the quality of care, the integration of data from multiple sources is needed (4). In this study, we present a new software to provide comprehensive patient information and support physicians in evaluation of patients' health conditions.…”

Section: Discussionmentioning

confidence: 99%

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Accompanying the Prostate Cancer Patient Pathway: Evaluation of Novel Clinical Decision Support Software

Henkel

Horn

Leboutte

et al. 2021

Preprint

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Introduction Physicians spend more than half of their workday interacting with health information systems to care for their patients. Effective data management that provides physicians with comprehensive patient information from various information systems is required to ensure high quality clinical decision making.Objectives We evaluated the impact of a novel, CE-certified clinical decision support tool on physician’s effectiveness and satisfaction in the clinical decision-making process.Methods Using pre-therapeutic prostate cancer management cases, we compared physician’s expenditure of time, data quality, and user satisfaction in the decision-making process comparing the current standard with the software. Ten urologists from our department conducted the diagnostic work-up to the treatment decision for a total of 10 patients using both approaches.Results A significant reduction in the physician’s expenditure of time for the decision-making process by -59.9 % (p < 0,001) was found using the software. System usage showed a high positive effect on evaluated data quality parameters completeness (Cohen's d of 2.36), format (6.15), understandability (2.64), as well as user satisfaction (4.94).Conclusion The software demonstrated that effective data management can improve physician’s effectiveness and satisfaction in the clinical decision-making process. Further development is needed to map more complex patient pathways, such as the follow-up treatment of prostate cancer.

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Section: Discussionmentioning

confidence: 99%

“…These technological gaps between departments prohibits clinicians from building a comprehensive understanding of the patient's individual condition. In daily clinical practice, clinicians spend a substantial amount of time collecting, integrating, and assessing patient data in order to care for their patients (4).…”

Section: Introductionmentioning

confidence: 99%

Accompanying the Prostate Cancer Patient Pathway: Evaluation of Novel Clinical Decision Support Software

Henkel

Horn

Leboutte

et al. 2021

Preprint

Self Cite

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“…In patient care, multiple clinical departments acquire a variety of data which are stored in various formats and IT systems. Summarizing and presenting all of this information in a consistent and easily retrievable manner are a key component to gain a holistic understanding of the patient’s health status and facilitates communication between treating physicians [2].…”

Section: Introductionmentioning

confidence: 99%

“…Synoptic reporting based on data elements enables the reuse of information for multiple purposes. Information can be presented according to requirements of the respective recipient, like the referring physician, multidisciplinary team (MDTs) meetings, or clinical research [2]. In this study, we developed a novel system to align synoptic reporting to the data integration requirements and compared it with the current standard.…”

Section: Introductionmentioning

confidence: 99%

Toward a Platform for Structured Data Acquisition in Oncology: A Pilot Study on Prostate Cancer Screening

et al. 2021

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Introduction: Physicians spend an ever-rising amount of time to collect relevant information from highly variable medical reports and integrate them into the patient’s health condition. Objectives: We compared synoptic reporting based on data elements to narrative reporting in order to evaluate its capabilities to collect and integrate clinical information. Methods: We developed a novel system to align medical reporting to data integration requirements and tested it in prostate cancer screening. We compared expenditure of time, data quality, and user satisfaction for data acquisition, integration, and evaluation. Results: In a total of 26 sessions, 2 urologists, 2 radiologists, and 2 pathologists conducted the diagnostic work-up for prostate cancer screening with both narrative reporting and the novel system. The novel system led to a significantly reduced time for collection and integration of patient information (91%, p < 0.001), reporting in radiology (44%, p < 0.001) and pathology (33%, p = 0.154). The system usage showed a high positive effect on evaluated data quality parameters completeness, format, understandability, as well as user satisfaction. Conclusion: This study provides evidence that synoptic reporting based on data elements is effectively reducing time for collection and integration of patient information. Further research is needed to assess the system’s impact for different patient journeys.

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“…Although the shift from paper to digital goes beyond availability and acquisition speed, the real improvement lies in the implementation of "unstructured-to-structured" data transformation. For data that is to be used in subsequent analyses, efficient mapping to computationally useable formats is essential [7]. While structured reporting alone may suffer from loss of "verbatim" information, it allows for an automated interpretation of meaning, enabling automated analyses otherwise not possible [8].…”

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confidence: 99%

Oncology Informatics: Status Quo and Outlook

et al. 2020

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Oncology has undergone rapid progress, with emerging developments in areas including cancer stem cells, molecularly targeted therapies, genomic analyses, and individually tailored immunotherapy. These advances have expanded the tools available in the fight against cancer. Some of these have seen broad media coverage resulting in justified public attention. However, these achievements have only been possible due to rapid developments in the expanding field of biomedical informatics and information technology (IT). Artificial intelligence, radiomics, electronic health records, and electronic patient-reported outcome measures (ePROMS) are only a few of the developments enabling further progress in oncology. The promising impact of IT in oncology will only become reality through a multidisciplinary approach to the complex challenges ahead.

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Structured Data Acquisition in Oncology

Cited by 8 publications

References 39 publications

Accompanying the Prostate Cancer Patient Pathway: Evaluation of Novel Clinical Decision Support Software

Accompanying the Prostate Cancer Patient Pathway: Evaluation of Novel Clinical Decision Support Software

Toward a Platform for Structured Data Acquisition in Oncology: A Pilot Study on Prostate Cancer Screening

Oncology Informatics: Status Quo and Outlook

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