Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Implications of real-time health data integration on medical records and administrative workflows
0
Zitationen
17
Autoren
2024
Jahr
Abstract
Background: The medical field is transforming as a result of the integration of electronic health records (EHRs) and wearable health technology. This has created new opportunities for data-driven decision-making and patient care. The rising use of wearable devices among patients and within the healthcare sector highlights the necessity to comprehend how this integration affects healthcare systems.Methods: This scoping review explores the existing landscape of integrating wearable health technology into EHRs, with an emphasis on data analytics and decision-making within medical secretarial and records management. By conducting an extensive search using Internet search engines and databases, we pinpointed significant challenges and opportunities related to the integration of patient data from wearable devices into healthcare systems.Results: According to the study, wearable technology has great potential for controlling long-term illnesses and enhancing patient outcomes. Nonetheless, issues like data privacy, interoperability, and the complexity of data management must be tackled for the broad acceptance of wearable health technology in healthcare environments. The study highlights the significance of security measures, compliance with regulations like HIPAA, and the creation of transparent consent practices to safeguard patient confidentiality.Conclusion: Data security, interoperability, and patient privacy must be given top priority by healthcare systems to fully realize the promise of wearable health technology in improving patient care and decision-making. Cooperative initiatives among application developers, health systems, and regulatory agencies are crucial to address current obstacles and guarantee the smooth incorporation of wearable device data into electronic health records.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.292 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.143 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.539 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.452 Zit.
Autoren
- FICM AHAC
- Mohammed Musaad Alrashidy
- Turki Alghamdi
- Omar Alharbi
- Ibtisam Dahish Alamri
- Mohammed Alharbi
- Roa’a Adnan Babegi
- Majed Abdullah Ahmed Hadadi
- Saher Abdu Mohammed Alshafie
- Amnah Hassan Ibrahim Jododi
- Raneem Abdo Elias Zeilai
- Hina Ahmed
- Amnah Yahya Ibrahim Hussein
- Asma Buhays Hussain Jarab
- Marwah Hamad Suliman Bajafar
- Amwaj Ali Mohammed Hijri
- Wejdan Mohmmed Omar Alsafi