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Charting Tomorrow's Healthcare: A Traditional Literature Review for an Artificial Intelligence-Driven Future

Overview
Journal Cureus
Date 2024 May 13
PMID 38738104
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Abstract

Electronic health record (EHR) systems have developed over time in parallel with general advancements in mainstream technology. As artificially intelligent (AI) systems rapidly impact multiple societal sectors, it has become apparent that medicine is not immune from the influences of this powerful technology. Particularly appealing is how AI may aid in improving healthcare efficiency with note-writing automation. This literature review explores the current state of EHR technologies in healthcare, specifically focusing on possibilities for addressing EHR challenges through the automation of dictation and note-writing processes with AI integration. This review offers a broad understanding of existing capabilities and potential advancements, emphasizing innovations such as voice-to-text dictation, wearable devices, and AI-assisted procedure note dictation. The primary objective is to provide researchers with valuable insights, enabling them to generate new technologies and advancements within the healthcare landscape. By exploring the benefits, challenges, and future of AI integration, this review encourages the development of innovative solutions, with the goal of enhancing patient care and healthcare delivery efficiency.

Citing Articles

The Frontiers of Smart Healthcare Systems.

Lin N, Paul R, Guerra S, Liu Y, Doulgeris J, Shi M Healthcare (Basel). 2024; 12(23).

PMID: 39684952 PMC: 11641075. DOI: 10.3390/healthcare12232330.

References
1.
Shu K, Boyle D, SPURR C, Horsky J, HEIMAN H, OConnor P . Comparison of time spent writing orders on paper with computerized physician order entry. Stud Health Technol Inform. 2001; 84(Pt 2):1207-11. View

2.
Sanderson A, Burns J . Clinical Documentation for Intensivists: The Impact of Diagnosis Documentation. Crit Care Med. 2020; 48(4):579-587. DOI: 10.1097/CCM.0000000000004200. View

3.
Ong L, Visser M, Lammes F, de Haes J . Doctor-patient communication and cancer patients' quality of life and satisfaction. Patient Educ Couns. 2002; 41(2):145-56. DOI: 10.1016/s0738-3991(99)00108-1. View

4.
Coiera E, Kocaballi B, Halamka J, Laranjo L . The digital scribe. NPJ Digit Med. 2019; 1:58. PMC: 6550194. DOI: 10.1038/s41746-018-0066-9. View

5.
Kauppinen T, Koivikko M, Ahovuo J . Improvement of report workflow and productivity using speech recognition--a follow-up study. J Digit Imaging. 2008; 21(4):378-82. PMC: 3043847. DOI: 10.1007/s10278-008-9121-4. View