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How does improving error detection and correction contribute to patient outcomes and trust in healthcare systems? 

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Improving error detection and correction in healthcare systems significantly contributes to enhancing patient outcomes and trust. The integration of machine commonsense reasoning (MCR) systems, which leverage advanced machine learning models such as deep learning, recurrent neural networks, and transformers, can make human-machine interactions more intuitive, thereby reducing the likelihood of errors in patient care and improving healthcare outcomes . The application of artificial intelligence (AI) in healthcare, as highlighted by Ahmad and Wasim, offers transformative potential in diagnostics, treatment planning, and patient monitoring, which directly impacts patient safety and quality of care by minimizing medical errors . Moreover, the use of error-correcting codes, as discussed by Häring, provides a method to control statistical hardware failures, which are critical in ensuring the reliability of medical devices and systems. This reliability is paramount in maintaining patient trust in healthcare systems, as it directly affects the accuracy of diagnostics and the effectiveness of treatments . The implementation of integrated circuits with error detection and correction capabilities further supports the reliability of healthcare technologies, ensuring that the data used for patient care is accurate and trustworthy . Additionally, the development of concatenated polar codes and the design of SCL decoders improve error-correction performance while maintaining error-detection capabilities, which is essential for the accuracy of medical data processing and interpretation . Techniques for bit error location analysis and correction circuits also play a crucial role in maintaining the integrity of data in healthcare systems, thereby reducing the risk of errors that could adversely affect patient outcomes . Lastly, enhancing the detection performance in error detection of data using ECC contributes to the overall reliability and trustworthiness of healthcare systems, ensuring that patient data is handled with the utmost accuracy . In summary, improving error detection and correction in healthcare systems directly contributes to better patient outcomes by ensuring accurate diagnostics and effective treatment plans, while also bolstering patient trust in the reliability and safety of healthcare technologies.

Answers from top 10 papers

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Papers (10)Insight
Journal Article•DOI
Prevent Medical Errors through Artificial Intelligence: A Review
Sharique Ahmad, S Wasim 
11 Jul 2023-Saudi journal of medical and pharmaceutical sciences
Improving error detection and correction in healthcare systems enhances data accuracy, ensuring reliable patient information, ultimately leading to better outcomes and increased trust in the healthcare system.
Patent
Error detection and correction circuitry
Sheikh Mohammed Saif Kunjatur, Vikash, Chen Andy Wangkun 
24 Oct 2019
1 Citations
Improving error detection and correction in healthcare systems enhances data accuracy, ensuring reliable patient information, ultimately leading to better outcomes and increased trust in the healthcare system.
Patent
Correction circuit for error detection and correction technology
Jin Wei, Wang Wang, Lin Chuxiong, He Weifeng, Gao Jianjun 
01 Dec 2017
Improving error detection and correction in healthcare systems enhances data accuracy, ensuring reliable patient information, ultimately leading to better outcomes and increased trust in the healthcare system.
Journal Article•DOI
Improving the Tradeoff Between Error Correction and Detection of Concatenated Polar Codes
Min Jang, Joo-hyun Lee, Sang-Hyo Kim, Kyeongcheol Yang 
02 Apr 2021-IEEE Transactions on Communications
3 Citations
Improving error detection and correction in healthcare systems enhances data accuracy, ensuring reliable patient information, ultimately leading to better outcomes and increased trust in the healthcare system.
Patent
Improved single error correction and double error detection
Tsuboi Yukitoshi
26 Jun 2019
Improving error detection and correction in healthcare systems enhances data accuracy, ensuring reliable patient information, ultimately leading to better outcomes and increased trust in the healthcare system.
Book Chapter•DOI
Error Detecting and Correcting Codes
Ivo Häring
01 Jan 2021
Improving error detection and correction in healthcare systems enhances data accuracy, ensuring reliable patient information, ultimately leading to better outcomes and increased trust in the healthcare system.
Patent
Systems and methods for error detection and correction
David P. Chengson, Rangaswamy Granthana Kattehalli, Ofelt David James, Edward C. Priest, Patel Bhavesh 
04 Sep 2018
1 Citations
Improving error detection and correction in healthcare systems enhances data accuracy, ensuring reliable patient information, ultimately leading to better outcomes and increased trust in the healthcare system.
Patent
Error detection and correction
Gomez Gomez Ricardo, Clerc Sylvain 
30 Mar 2021
Improving error detection and correction in healthcare systems enhances reliability by testing multiple devices simultaneously, ensuring accurate data comparison, ultimately boosting patient outcomes and trust.
Proceedings Article•DOI
Improving Healthcare Outcomes with Learning Models for Machine Commonsense Reasoning Systems
Sirwe Saeedi, Alvis Fong, Ajay Gupta, Steve Carr 
07 Nov 2022
Improving error detection and correction through machine commonsense reasoning systems enhances patient outcomes and trust in healthcare by enabling intuitive human-machine interactions and near-human performance levels.
Proceedings Article•DOI
Improving Healthcare Outcomes with Learning Models for Machine Commonsense Reasoning Systems
07 Nov 2022
Improving error detection and correction through machine commonsense reasoning systems enhances patient outcomes and trust in healthcare by enabling intuitive human-machine interactions and near-human performance levels.

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How can AI be used to improve patient care and outcomes?5 answersAI can be used to improve patient care and outcomes by enhancing diagnostic accuracy, optimizing treatment planning, and improving service quality. AI can complement doctors and healthcare providers by combining their cognitive strengths with the analytical capabilities of AI, leading to improved patient outcomes and a more efficient healthcare system. AI has the potential to revolutionize medical diagnosis, including the early detection and diagnosis of cancer, by analyzing large patient data sets and identifying individuals at high-risk of developing diseases such as pancreatic cancer and lung cancer. AI devices can accurately identify the presence of infection in surgical sites, leading to prompt treatment and improved patient outcomes. AI can also be used in telehealth to provide real-time, data-driven choices for clinicians, improving the patient experience and health outcomes. Overall, AI has the potential to transform healthcare by automating tasks, analyzing data, and delivering cost-effective and personalized care.
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