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10 Key Trends of Digital Transformation in Healthcare in 2022

OTS Solutions

Technology has proven important in maintaining the healthcare industry’s resilience in the face of so many obstacles. The healthcare business has embraced numerous technology-based solutions to increase productivity and streamline clinical procedures. The intelligence generated via Machine Learning.

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Technology Trends for 2024

O'Reilly Media - Ideas

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. We’re skeptical about things like job displacement, at least in technology. This has been a strange year. What will those changes be?

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Digital Transformation in Healthcare: 7 Key Trends for 2023

Openxcell

Technology and digital transformation influence changes in healthcare businesses, leading to better care and decision-making. This blog will examine why the digital healthcare industry is important, what benefits technology can bring to the industry and patients, the key trends of healthcare digitization, and what challenges it faces.

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10 Digital Transformation Examples from 10 Industries

Modus Create

We have consciously excluded IT companies to demonstrate how digital transformation isn’t exclusive to technology firms. By automating almost 30% of the process, AutoFin has significantly reduced the time for reviewing credit applications. AVP cut marketing costs for Audi by 30% and reduced its time to market from weeks to hours.

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3 Ways Intelligent Analytics Can Improve Patient Outcomes in Healthcare

Trigent

The AI assistant could provide a greater safety net with minimal effort when pathologist staffing and recruitment are becoming more challenging due to the fast-increasing number of cancer cases. Due to its ability to analyze massive amounts of data with efficiency and accuracy, AI plays a transformative role in healthcare.

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Generative AI in Healthcare

John Snow Labs

Generative AI in healthcare is a transformative technology that utilizes advanced algorithms to synthesize and analyze medical data, facilitating personalized and efficient patient care. The journey of Generative AI in healthcare began in the century building upon the progress made in artificial intelligence (AI) and machine learning (ML).

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning - AI

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. In Part 1, we review the RAG design pattern and its limitations on analytical questions.