Enhancing patient treatment through automation: The development of an efficient scribe and prescribe system

Islam, Muhammad Nazrul; Mim, Sazia Tabasum; Tasfia, Tanha; Hossain, Md Mushfique

doi:10.1016/j.imu.2024.101456

Cited by 3 publications

References 21 publications

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The Frontiers of Smart Healthcare Systems

Lin,

Paul,

Guerra

et al. 2024

Healthcare

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Artificial Intelligence (AI) is poised to revolutionize numerous aspects of human life, with healthcare among the most critical fields set to benefit from this transformation. Medicine remains one of the most challenging, expensive, and impactful sectors, with challenges such as information retrieval, data organization, diagnostic accuracy, and cost reduction. AI is uniquely suited to address these challenges, ultimately improving the quality of life and reducing healthcare costs for patients worldwide. Despite its potential, the adoption of AI in healthcare has been slower compared to other industries, highlighting the need to understand the specific obstacles hindering its progress. This review identifies the current shortcomings of AI in healthcare and explores its possibilities, realities, and frontiers to provide a roadmap for future advancements.

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The Frontiers of Smart Healthcare Systems

Lin,

Paul,

Guerra

et al. 2024

Healthcare

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Digital Prescription for Hospital Database Management using ASR

R.V,

A.S

et al. 2024

ijcci

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According to American Medical Association (AMA), handwritten prescriptions are associated with larger risk of pharmaceutical errors when compared to electronic prescriptions. The solution to this problem is to create a digital prescription. This application leverages the usage of automated speech recognition (ASR) technology with digital prescription to make flawless and legible prescriptions. Automatic speech recognition reduces transcribing errors and speeds up prescription processing as well as ensures smooth interface with hospital database management by translating spoken instructions into text in real-time. This innovation not only simplifies clinical workflows but also improves patient safety and database management by providing a reliable and automated method for prescription documentation. This paper presents a digital prescription system for hospital database management using automatic speech recognition (ASR) technology, integrated with MySQL for database management and Java Script for application development. This approach aims to streamline the prescription process, minimize pharmaceutical errors and improve the overall patient care.

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Cruising Deep Convolution Neural Networks (DCNN) and Internet of Medical Things (IoMT) Fostering Smart Healthcare

Singh

2024

Advances in Healthcare Information Systems and Administration

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Deep Convolutional Neural Networks (DCNN) enable smart healthcare by way of internet connected medical devices referred to as the Internet Of Medical Things (IoMT) in modern day medicine Through the integration of intelligent sensors, smart wearables and medical equipment as well as its application in long-term real-time patient health monitoring IoMT is enabling continuous care coupled with predictive analytics. It enables physicians and other care team members to make better informed, more timely treatment decisions tailored for the specific patient in order to keep them out of the hospital. The use of both these technologies together is creating a new era in remote patient management, topic illness surveillance as well as prevention care which help in improving the overall proactive health approach to patients would will prove better results over accessibility, efficiency and control by making every individual healthier.

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Enhancing patient treatment through automation: The development of an efficient scribe and prescribe system

Cited by 3 publications

References 21 publications

The Frontiers of Smart Healthcare Systems

The Frontiers of Smart Healthcare Systems

Digital Prescription for Hospital Database Management using ASR

Cruising Deep Convolution Neural Networks (DCNN) and Internet of Medical Things (IoMT) Fostering Smart Healthcare

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