Enterprise imaging and big data: A review from a medical physics perspective
Autor: | Adil Dahlan, Nicholas McCarthy, Marie-Louise Ryan, Brendan St John, Aonghus Lawlor, Kathleen M. Curran, Tessa S. Cook, Neil O’ Hare |
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Rok vydání: | 2020 |
Předmět: |
Big Data
Diagnostic Imaging medicine.medical_specialty Big data Biophysics General Physics and Astronomy Data security Context (language use) 030218 nuclear medicine & medical imaging Workflow 03 medical and health sciences 0302 clinical medicine Artificial Intelligence medicine Revenue Humans Radiology Nuclear Medicine and imaging Medical physics business.industry Corporate governance Physics General Medicine 030220 oncology & carcinogenesis System integration Applications of artificial intelligence business |
Zdroj: | Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). 83 |
ISSN: | 1724-191X |
Popis: | In recent years enterprise imaging (EI) solutions have become a core component of healthcare initiatives, while a simultaneous rise in big data has opened up a number of possibilities in how we can analyze and derive insights from large amounts of medical data. Together they afford us a range of opportunities that can transform healthcare in many fields. This paper provides a review of recent developments in EI and big data in the context of medical physics. It summarizes the key aspects of EI and big data in practice, with discussion and consideration of the steps necessary to implement an EI strategy. It examines the benefits that a healthcare service can achieve through the implementation of an EI solution by looking at it through the lenses of: compliance, improving patient care, maximizing revenue, optimizing workflows, and applications of artificial intelligence that support enterprise imaging. It also addresses some of the key challenges in enterprise imaging, with discussion and examples presented for those in systems integration, governance, and data security and privacy. |
Databáze: | OpenAIRE |
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