ArticleAsian Pacific journal of cancer prevention : APJCP2019
Oncology Information System: A Qualitative Study of Users' Requirements.
Article in Asian Pacific journal of cancer prevention : APJCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed, 15 citations in OpenAlex.
- Success Factors and Barriers in Combining Personalized Medicine and Patient Centered Care in Breast Cancer. Results from a Systematic Review and Proposal of Conceptual Framework.Journal of personalized medicine · 2021Review
- A Conceptual Model of an Oncology Information System.Cancer management and research · 2020Article
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCancer care is a complex care process and is associated with generating a variety of data during the care process. Therefore, it seems that designing and using information systems is necessary to enhance the accessibility, organization and management of cancer-related data. The aim of this study was to identify users' requirements of an oncology information system (OIS).
methodsThis was a qualitative study conducted in 2018. In depth semi-structured interviews were performed with clinicians and non-clinicians in five teaching hospitals to identify users' requirements. Data were analyzed by using framework analysis.
resultsThe four themes emerged from data analysis included: a) methods of recording cancer data in the hospitals, b) required cancer data in different departments, c) comprehensive cancer care documentation, and d) required functions of an oncology information system.
conclusionAccording to the results, currently, electronic documentation is less frequently used for cancer patients. Therefore, an extensive effort is needed to identify users' requirements before designing and implementing an oncology information system. As multidisciplinary teams are involved in cancer care, all potential users and their requirements should be taken into account. Such a system can help to collect and use cancer data effectively.
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