£43.90

Large Language Models (LLMs) for Healthcare: A Practical Guide to Their Process and Evaluation

Managers' Guides to Computing

Price data last checked 46 day(s) ago - refreshing...

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

This is the usual price. Wait for it to drop, or tell us your number.

£44 today · usual range £41–£45 · best ever £41

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 45 days • 45 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 45 days • 4 price levels

Days at Price

Current Price

Price Analysis

Most common price: £43 (19 days, 42.2%)

Price range: £41 - £45

Price levels: 4 different prices over 45 days

Description

In today’s rapidly evolving healthcare environment, one technology stands at the forefront of innovation: large language models (LLMs). Far more than a fleeting hype, LLMs represent a foundational shift in how healthcare professionals interact with and derive value from data. From simplifying clinical note-writing to supporting patient engagement and enhancing administrative processes, LLMs have the power to transform nearly every corner of the healthcare ecosystem. In Large Language Models (LLMs) for Healthcare, Jeremy Harper shines a spotlight on this transformative potential. With clarity and practicality, he explores how these advanced artificial intelligence (AI) tools can reshape clinical workflows, optimize administrative tasks, and ultimately create a more responsive, patient-centered model of care. Over the course of this book, you will discover new opportunities―learn how LLMs can reduce manual documentation burdens, provide intelligent summaries of complex patient histories, and offer real-time translations of clinical jargon; understand the fundamentals―grasp what LLMs are, how they work, and why they can handle vast amounts of clinical text more effectively than previous AI tools; examine key use cases―from automated billing support and smart note generation to patient triage and ethical telehealth consultations; address risks and realities―gain insight into challenges such as "hallucinations," inherent bias, and the critical importance of patient privacy; plan for implementation―explore strategies for prompt engineering, fine-tuning, and rigorous evaluation of LLM solutions; and envision the future – glimpse how LLMs might revolutionize healthcare through enhanced back-office operations and cutting-edge clinical decision support.

Product Specifications

Format: paperback
ASIN: 1032887281
Category: Books > Subjects > Business, Finance & Law > E-Commerce > Managers' Guides to Computing
Domain: Amazon UK
Release Date: 02 September 2025
Listed Since: 23 January 2025

Barcode

No barcode data available

Large Language Models (LLMs) for Healthcare: A Practical Guide to Their Process and Evaluation

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Exploration of Artificial Intelligence and Blockchain Technology in Smart and Secure Healthcare (Advances in Computing Communications and Informatics)

Medical Collaboration with Artificial Intelligence: A Real-Life Paradigm Shift

Between Crime and Care: A Practical Guide to Safer Law Enforcement Mental Health Response

AI in Healthcare: Detecting Blood Cancer with Deep Learning

The Data Lakehouse Revolution: Harnessing the Power of Databricks for Generative AI and Machine Learning

MEDICAL LABORATORY TECHNOLOGY: A PRACTICAL GUIDE

AI for Social Good: Accelerating Inclusion, Equity, and Community Development through SDG-Focused Innovation

Medical Engineering: Projections for Health Care Delivery

Propmt Engineering for Large Language Models: Best Practices and Tools

REDUCING RISK & PROMOTING ACCOUNTABILITY in HEALTHCARE: The Client Centered Approach for Governance & Operations

Digital Health Entrepreneurship (Health Informatics)

Reliable LLM Engineering: Architecting Deterministic Systems Around Probabilistic Models

Positive Media Psychology: Harnessing the Power of Media for Well-Being and Resilience

Apress - Practical Guide to Large Language Models Book

AI Systems Performance Engineering: A Practical Guide to Optimizing Machine Learning Infrastructure, Scaling AI Workloads, and Building High-Performance, Reliable AI Systems

Care without Pathology: How Trans- Health Activists Are Changing Medicine

The Policy Process and Super-Optimum Solutions

Microlearning for Modular Credentials: A Practical Guide for Upskilling Professionals

Generative Ai In Clinical Practice: A Physician's Guide To Transforming Medicine

EU Product Compliance, Safety and Liability: A Best Practice Guide for the Automotive Sector

Moderating Virtual Meetings in an International Environment: Business Communication

Developmental Play Assessment for Practitioners (DPA-P) Coding Sheets

Strategies for Marketing of Information Resources and Services in Academic Libraries: Enhancing User Engagement and Visibility in the Digital Age

Internal Branding Essentials: The Roadmap to Organizational Success