Related terms:
Artificial intelligence (AI) is the ability of machines or software to learn, solve problems, and make decisions in ways that resemble human intelligence.
Philosophers, scientists, and mathematicians have studied and researched artificial intelligence since recorded history began. The development of modern AI started with the efforts of the mathematician and computer scientist Alan Turing in the 1940s. The namesake Turing Test provides a method for gauging a computer system's learning and decision-making capabilities and whether the system possesses artificial intelligence.
In the 21st century, health information technology (HIT) systems began to utilize AI to assist caregivers with diagnosis and developing treatment plans.
What Are the Benefits of AI for Healthcare IT?
AI-based healthcare applications are particularly adept at analyzing vast amounts of patient data and quickly detecting issues that might take humans much longer to observe. For instance, AI tools might detect disease precursors by analyzing a patient's history and physical (H&P) and electronic health records.
Revenue cycle management teams can uses AI for medical coding, operational assistance, and data analysis. For example, AI algorithms can help determine payment anomalies from payers and determining the correct CPT codes to be billed for a visit.
What Are the Challenges of AI in Healthcare?
One of the biggest concerns about artificial intelligence is data privacy. AI techniques, such as machine learning (ML), natural language processing (NLP), and deep learning, are based on massive data sets. Cybersecurity experts believe that hackers will be able to extract sensitive data from AI-based apps since it's likely that personally identifying information was included in the training data.
These concerns are amplified in the healthcare industry, where patient privacy and data security are regulated by law. Some healthcare providers may choose not to deploy AI-based technology until there are long-term solutions for these issues.
AI also is not infallible and has the potential to misdiagnosis a patient so should be used thoughtful and always verified by a practitioner.
How TempDev Can Help With Artificial Intelligence (AI)
TempDev's team of NextGen consultants, developers, and trainers can help you implement, switch, or even upgrade your current EHR system. From dashboards, templates, and reports to revenue cycle consulting, automation, and workflow redesign, TempDev offers the tools you need to make the most of your NextGen EHR system.
Our team is here to help you design, organize, and implement your entire system with top tips and guidance based on industry best practices.
Contact us by email or call us at 888.TEMP.DEV to get the help you need with implementing AI with practice management and electronic health record (EHR) systems.
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