Transforming cancer clinical trials: The integral role of artificial intelligence in electronic health records for efficient patient recruitment

Nashwan, Abdulqadir J.; Hani, Salam Bani

doi:10.1016/j.conctc.2023.101223

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…[ 59 ] Additionally, the use of AI assistants in drug discovery and development is expected to accelerate the drug development process,[ 3 ] potentially reducing time to market. Furthermore, improving the efficiency of patient recruitment in randomized controlled trials could help mitigate biases in study designs,[ 60 ] which will eventually impact supply chain demands and operational efficiency.…”

Section: Future Perspectivesmentioning

confidence: 99%

Transforming Hospital Quality Improvement Through Harnessing the Power of Artificial Intelligence

Abukhadijah,

Nashwan

2024

Global Journal on Quality and Safety in Healthcare

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This policy analysis focuses on harnessing the power of artificial intelligence (AI) in hospital quality improvement to transform quality and patient safety. It examines the application of AI at the two following fundamental levels: (1) diagnostic and treatment and (2) clinical operations. AI applications in diagnostics directly impact patient care and safety. At the same time, AI indirectly influences patient safety at the clinical operations level by streamlining (1) operational efficiency, (2) risk assessment, (3) predictive analytics, (4) quality indicators reporting, and (5) staff training and education. The challenges and future perspectives of AI application in healthcare, encompassing technological, ethical, and other considerations, are also critically analyzed.

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Section: Future Perspectivesmentioning

confidence: 99%

Transforming Hospital Quality Improvement Through Harnessing the Power of Artificial Intelligence

Abukhadijah,

Nashwan

2024

Global Journal on Quality and Safety in Healthcare

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Bridging the Gap

Komalasari

2024

Analyzing Current Digital Healthcare Trends Using Social Networks

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This chapter explores the potential for digital health deployment to improve primary care in Indonesia using the theory of change (ToC) framework. By aligning digital health implementation with the ToC framework, the study demonstrates significant improvements in healthcare quality and evidence-based practice within the Indonesian primary care context. The research emphasizes the potential of ToC-guided digital health to revolutionize healthcare delivery and improve outcomes for patients in low- and middle-income countries.

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Transforming cancer clinical trials: The integral role of artificial intelligence in electronic health records for efficient patient recruitment

Cited by 2 publications

References 18 publications

Transforming Hospital Quality Improvement Through Harnessing the Power of Artificial Intelligence

Transforming Hospital Quality Improvement Through Harnessing the Power of Artificial Intelligence

Bridging the Gap

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