Overcoming Electronic Medical Records Adoption Challenges in Saudi Arabia

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 8, 2024

In the digital era, seamless integration of electronic medical records (EMR) stands as a pivotal milestone in transforming healthcare delivery, with Saudi Arabia at forefront this revolution Middle East. This literature review comprehensively explores challenges and opportunities associated adopting EMR Kingdom (KSA) alignment nation's Vision 2030 objectives. The synthesizes research from various scholarly sources, utilizing databases such PubMed, Scopus, Google Scholar, regional databases, focuses on published between 2010 2023. Our methodology included strategic combination keywords stringent selection criterion to ensure focus relevant adoption studies within KSA. addresses key aspects adoption, including technical challenges, financial constraints, human factors, cultural organizational barriers, privacy security concerns, policy regulatory challenges. It also other health initiatives like telehealth, personal records, community pharmacy services. findings reveal complex interplay factors influencing highlighting need for comprehensive strategies that address technical, financial, cultural, policy-related barriers. concludes while significant exist, approaches solutions tailored specific context can effectively facilitate integration, thereby enhancing quality efficiency line goals.

Language: Английский

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Potential Applications of Artificial Intelligence (AI) in Managing Polypharmacy in Saudi Arabia: A Narrative Review

Healthcare, Journal Year: 2024, Volume and Issue: 12(7), P. 788 - 788

Published: April 5, 2024

Prescribing medications is a fundamental practice in the management of illnesses that necessitates in-depth knowledge clinical pharmacology. Polypharmacy, or concurrent use multiple by individuals with complex health conditions, poses significant challenges, including an increased risk drug interactions and adverse reactions. The Saudi Vision 2030 prioritises enhancing healthcare quality safety, addressing polypharmacy. Artificial intelligence (AI) offers promising tools to optimise medication plans, predict reactions ensure safety. This review explores AI’s potential revolutionise polypharmacy Arabia, highlighting practical applications, challenges path forward for integration AI solutions into practices.

Language: Английский

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The Role of Blockchain and AI in Fortifying Cybersecurity for Healthcare Systems

International Journal of Computational and Experimental Science and Engineering, Journal Year: 2024, Volume and Issue: 10(4)

Published: Nov. 24, 2024

In a simulated healthcare setting, the algorithms were assessed based on organized threat insight data, inconsistency location executed with blockchain-enhanced access control, and machine learning-driven interruption detection. The test results depiction showed that all calculations feasible, an accuracy range of 0.88-0.94 lift defined between 0.75 1; knowledge values ranging from.86 to.92, F1 scores above.90 are displayed as follows: Above all, TIAA excelled in risk insights management; ADA exceeded expectations detecting inconsistencies; BACA used blockchain to fortify control; ML-IDS produced remarkable intrusion importance these addressing particular cybersecurity concerns industry is highlighted through comparative comparison similar studies. suggested relevant growing conversation about because they offer comprehensive strategy protect private health guarantee reliability assessment models, organizations against variety evolving cyberthreats.

Language: Английский

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The interplay of money laundering and terrorism financing in Saudi Arabia: a critical examination

Journal of Money Laundering Control, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Purpose This paper aims to critically analyse the evolving anti-money laundering (AML) and counter-terrorism financing (CTF) framework in Saudi Arabia, focusing on intersection of Shari’ah international AML standards. The study explores Arabia’s efforts combat money (ML) terrorism (TF) within its global engagement, assessing challenges opportunities posed by emerging financial technologies transnational crime. Design/methodology/approach research uses a legal doctrinal analysis AML/CTF laws, integrating review FATF reports, guidelines Shari’ah-compliant regulations. also evaluates participation cooperation efforts, drawing case studies country’s involvement initiatives bilateral agreements. In addition, examines policy recommendations role new technologies, such as cryptocurrencies blockchain. Findings Arabia has made significant progress aligning with standards, particularly following full membership FATF. However, remain, especially addressing vulnerabilities non-financial sectors regulating technologies. finds that into system enhances cultural religious relevance while contributing compliance efforts. International technology adoption are essential for staying ahead threats. Originality/value uniquely interplay between standards offering insights how principles coexist regulatory requirements. It addresses rising blockchain, providing actionable policymakers institutions enhance highlights regional leader contributor crime prevention.

Language: Английский

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Leveraging artificial intelligence for enhanced decision-making in finance: trends and future directions

Journal of Accounting Literature, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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ETHICAL IMPLICATIONS OF AI IN FINANCIAL DECISION – MAKING: A REVIEW WITH REAL WORLD APPLICATIONS

International Journal of Applied Research in Social Sciences, Journal Year: 2024, Volume and Issue: 6(4), P. 608 - 630

Published: April 17, 2024

This study delves into the ethical implications of Artificial Intelligence (AI) in financial decision-making, exploring transformative impact AI technologies on services sector. Through a comprehensive literature review, research highlights dual nature AI's integration finance, showcasing both its potential to enhance operational efficiency and decision accuracy challenges it introduces. These include concerns over data privacy, algorithmic bias, for systemic risks, underscoring need robust frameworks regulatory standards. The emphasizes importance multidisciplinary approach development deployment, advocating collaboration among technologists, ethicists, policymakers, end-users ensure that are aligned with societal values principles. Future directions identified, focusing adaptive guidelines, methodologies embedding principles systems, investigation long-term market dynamics consumer behaviour. contributes valuable insights offering recommendations ensuring utilized manner is ethically sound conducive advancement industry. Keywords: Intelligence, Financial Decision-Making, Ethical Implications, Algorithmic Bias, Data Privacy, Regulatory Standards, Multidisciplinary Approach.

Language: Английский

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Artificial intelligence and sustainable development in Africa: A comprehensive review

Machine Learning with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 100591 - 100591

Published: Oct. 1, 2024

Language: Английский

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Artificial Intelligence for Financial Accountability and Governance in the Public Sector: Strategic Opportunities and Challenges

Administrative Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 58 - 58

Published: Feb. 11, 2025

This study investigates the transformative capacity of artificial intelligence (AI) in improving financial accountability and governance public sector. The aims to explore strategic potential constraints AI integration, especially as fiscal systems become more complex expectations for transparency increase. employs a qualitative case methodology analyze three countries, which are Estonia, Singapore, Finland. These countries renowned their innovative use administration. data collection tools included an extensive review literature, governmental publications, studies, feedback. reveals that AI-driven solutions such predictive analytics, fraud detection systems, automated reporting significantly improve operational efficiency, transparency, decision making. However, challenges algorithmic bias, privacy issues, need strong ethical guidelines still exist, these could hinder equitable AI. emphasizes importance aligning technological progress with democratic values by addressing problems. also enhances dialog around AI’s role It provides practical recommendations policymakers who seek wisely promote trust, ensure governance. Future research should focus on enhancing frameworks investigating scalable overcome social technical integration.

Language: Английский

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Assessing the Impact of Artificial Intelligence Applications on Diagnostic Accuracy in Saudi Arabian Healthcare: A Systematic Review

The Open Public Health Journal, Journal Year: 2025, Volume and Issue: 18(1)

Published: Feb. 7, 2025

Background Artificial intelligence (AI) has become a disruptive force with great potential to revolutionize healthcare. The integration of artificial in healthcare practices and its use areas, such as the detection diagnosis diseases, led an increased interest this topic, which been key informing research study determine effect on diagnostic accuracy. However, impact AI accuracy, particularly context Saudi Arabia, remains underexplored area research. Aim This systematic review sought address gap by analyzing applications' accuracy Arabia's Methods employed structured search strategy compliance Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) criteria. Three databases were used identify articles, including PubMed, Embase, CINAHL. relevant articles linked applications KSA sector was narrowed down published between 2013 2023. step generated 450 further evaluated based inclusion criteria narrow 12 analysis. Results 11 out studies conducted 2020 2023, indicating that last three years have witnessed largest number intelligence. included within different hospitals. 7 cross-sectional studies, 3 observational (1 retrospective study), 1 experimental study, randomized controlled trial (RCT). They all showed increasing healthcare, is enhancing overall outcomes helpful wide variety diseases conditions, chronic diseases. Conclusion models shown capable diagnostics treatment quality, can be essential planning preventing care line Vision 2030. Hence, findings contribute better understanding role offer insights applicable regions facing similar challenges. PROSPERO Registration Number 611347

Language: Английский

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The Role of IT Governance in the Integration of AI in Accounting and Auditing Operations

Economies, Journal Year: 2024, Volume and Issue: 12(8), P. 199 - 199

Published: Aug. 1, 2024

IT governance is a framework that manages the efficient use of information technology within an organization, focusing on strategic alignment, risk management, resource performance measurement, compliance, and value delivery. This study investigates role in integrating artificial intelligence (AI) accounting auditing operations. Data were collected from 228 participants Saudi Arabia using combination convenience sampling snowball methods. The data then analyzed structural equation modeling. Unexpectedly, results demonstrate AI, big analytics, cloud computing, deep learning technologies significantly enhance functions’ efficiency decision-making capabilities, leading to improved financial reporting audit processes. highlight plays crucial managing complexities AI integration, aligning business strategies with AI-enabled technologies, facilitating these advancements. research fills gap previous adds academic literature by improving understanding into It builds existing theoretical frameworks investigating promoting adoption. findings provide valuable insights for experts, specialists, organizational leaders. provides practical deploying AI-driven organizations procedures reporting. In societal context, it highlights broader implications transparency, accountability, trust Finally, offers practitioners, policymakers, scholars leveraging advancements optimize as essential tool effectively However, successful implementation encounters significant challenges like support, training, sovereignty, regulatory compliance.

Language: Английский

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