TechTarget.com/healthtechanalytics

https://www.techtarget.com/healthtechanalytics/feature/Benefits-of-AI-in-healthcare

10 benefits of AI in healthcare

By Stephen J. Bigelow

Healthcare practitioners are awash in a flood of medical images, test results, patient medical records, drug interactions, and billing and administrative information. The need to ingest, relate, understand, diagnose, plan and arrive at the best patient treatments places formidable demands on even the most talented medical staff.

AI technologies are emerging to meet these healthcare challenges. AI is capable of ingesting and processing enormous volumes of data with startling speed. It also demonstrates strong analytical and predictive capabilities that can be applied to a wide range of healthcare areas, such as diagnosing illnesses and diseases, spotting potential drug interactions, recommending patient treatments and ongoing care, and predicting patient outcomes. AI plays an increasing role in patient management, drug discovery and development, and administrative processes.

Still, AI benefits in healthcare must be tempered with the following ethical, regulatory and liability concerns:

How AI can benefit healthcare

AI systems are growing and finding adoption in four broad areas of healthcare: diagnostics, treatments, administration and patient experience. Given the enormous scope of these four areas, it's possible to detail an array of 10 specific benefits of artificial intelligence in healthcare.

1. Comprehensive analysis

AI can ingest and analyze enormous volumes of raw and unstructured data, including medical images like X-rays and CT scans, blood work and other fluid and tissue exam results, and provider notes as well as patient historical data like family medical history that could reveal potential health issues.

2. Shortened diagnostic time

AI can recognize and alert healthcare providers to a potential disease or illness far earlier than might be possible with direct human examination. Shortening diagnostic time can lead to earlier intervention when treatments can be faster, less intrusive and less expensive -- improving overall patient care and outcomes.

3. Reduced errors and oversights

AI can double-check human diagnoses and cross-check treatments or medications against available digital records and patient profiles. This capability can vastly reduce the potential for diagnostic errors, recommend against unnecessary or ineffective treatments, and alert providers to potentially dangerous drug interactions.

4. Identification of enhanced treatments

Given effective diagnostics and knowledge of the patient's profile, AI can offer healthcare providers detailed recommendations for the most effective treatments, drugs and procedures available for the diagnosed condition. The result is a comprehensive knowledge base that's constantly updated with the latest tools and standards of care available.

5. Personalized treatment plans

Beyond direct treatments, AI can focus on specific patient test data, history and profiles to develop treatment plans tailored to the patient. These treatments can include adjusting sensitive drug dosages, implementing heart monitoring and telemetry parameters and even recommending the development of drugs compounded for the specific patient.

6. Improved patient support

AI can offer enhanced scheduling capabilities, such as chatbots that can make, change or cancel appointments and answer basic medical questions. AI can also provide interactive assistance with medical billing issues and financial obligations like copays and financing costs not covered by health insurance.

7. Better patient relationships

Healthcare providers and office staff are often so overwhelmed with work that patient interactions can suffer, making health services frustrating and disappointing for many patients. Using AI for automated transcription, for example, can provide more time for human interaction, so patients can spend more time with providers and improve these vital relationships.

8. Improved administration

AI can track procedures and apply coding with more accuracy and consistency than human medical coders, providing more accurate billing and faster, more comprehensive patient record management.

9. Healthcare fraud detection

AI predictive analysis of patient visits, records, care and billing can reveal potential instances of healthcare fraud or illegitimate activity, such as contacting multiple healthcare providers to obtain restricted pain medications.

10. Enhanced security of patient data

AI can oversee the access and use of all patient data. This capability can help ensure that only authorized users have access to patient data and that any uses of the data are conducted securely, ethically and in compliance with any prevailing regulatory obligations.

The future of AI in healthcare

AI benefits in healthcare already provide clinicians with an array of increasingly powerful analytical and predictive tools. As AI continues to advance in healthcare, look for the following developments in the future:

Stephen J. Bigelow, senior technology editor at Informa TechTarget, has more than 30 years of technical writing experience in the PC and technology industry.

08 Apr 2025

All Rights Reserved, Copyright 2012 - 2026, TechTarget | Read our Privacy Statement