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Apr 12, 2024 11:17:51 AM5 min read

4 Reasons Healthcare Needs AI

With the ability to learn, reason, and perform tasks that normally require human intelligence, AI systems are revolutionizing the way we deliver and manage healthcare. In fact, AI can make healthcare better. And faster.

And when you do more quickly—yet still maintain or increase quality—you get better outcomes.

Whether it’s bettering diagnostics, patient management, or overall efficiency, AI is increasingly becoming a necessary addition to the healthcare space. Not only can it help improve healthcare overall, it can help healthcare organizations save money and more.

Here are four (among many) ways AI can help boost healthcare.

1) Healthcare Data Security and Management

Data is gold—and when it’s properly integrated with AI, has been shown to help providers earn 50% more through helping them properly (and efficiently) process claims.

Improving data quality and accuracy by leveraging AI can increase the level of care a patient receives, too. It can pave the way for precision medicine, for example, so patients—even with similar diagnoses—can receive tailored treatments.

AI can also help a healthcare organization streamline their data use—and keep it secure. Here are a few ways:

Improved Data Access Controls

By implementing role-based access-control mechanisms, for example, AI can help ensure healthcare staff only access related patient information. It can also help keep the data to certain staff members to begin with. This targeted approach helps reduce the risk of unauthorized information disclosure and excessive data access.

AI-Driven Threat Detection

First, AI-powered threat detection swiftly analyzes data and network activity, identifying anomalies that signal cyberattacks.

It enables earlier threat detection compared to manual monitoring. AI-powered anti-malware continuously learns and evolves, detecting new variations of malicious code and providing dynamic protection against viruses and ransomware.

Regulatory Healthcare Compliance

AI-powered tools can streamline regulatory compliance by scanning paperwork and documentation for adherence to standards, minimizing the risk of costly fines resulting from non-compliance.

These tools can also monitor compliance controls and identify policy violations or gaps for timely corrective action. Of course, it’s important to seek the help of an organization like Provisions Group, to help properly program for pattern recognition and implement these solutions.2) 

2) AI-Driven Healthcare Diagnostics

Advancements in artificial intelligence are revolutionizing medical diagnostics across a wide range of applications.

AI is being used to analyze everything from medical scans and images to lab results and clinical notes. This allows doctors to automate certain diagnostic tasks, freeing them to focus on delivering personalized care. Here’s more:

Medical Imaging Analysis

With the help of deep learning algorithms, the machine can be trained on thousands of past scans and images to identify patterns and abnormalities.

For instance, AI can quickly and accurately diagnose conditions like strokes or lung cancer by evaluating CT scans.

Natural Language Processing (NLP)

Natural language processing (NLP) techniques also enable AI systems to extract meaning from unstructured text-based data like radiology reports, pathology notes, and medical records.

This helps doctors get a quick summary of patients' information and easily analyze it. NLP can also automatically fill in fields in electronic health records, to help maintain consistency in radiology reporting.

Predictive Analytics and Risk Modeling

Predictive analytics and risk modeling leverage AI and big data to forecast medical events and outcomes.

Algorithms can work with all kinds of data, from genomics to EHRs, to identify patterns and predict risks like patient re-admission, the onset of chronic diseases, and more. This empowers preventative care through early intervention and personalized treatment strategies.

3) Streamlined Clinical Workflow

AI can help optimize healthcare processes and workflows by automating repetitive tasks, coordinating logistics for patient management, and more, to help boost efficiency.

Scheduling and Logistics Optimization

AI-powered scheduling systems can optimize healthcare resources by factoring in multiple constraints and variables for booking appointments, surgery slots, equipment usage, and staff shifts.

These systems can also coordinate logistics like ambulance routing during emergencies and automating patient transfers between facilities.

By considering real-time data inputs and minimizing waste, AI scheduling and logistics solutions enable healthcare systems to operate faster.

Intelligent Bots for Healthcare Administration

AI-powered chatbots and virtual assistants are helping healthcare organizations automate administrative tasks such as paperwork processing, appointment management and billing.

Through natural language processing and machine learning, these bots can understand context and improve over time, boosting productivity and enhancing the patient experience.

Prescription Management

AI can analyze prescription data to detect risks of adverse drug interactions and ensure proper medication adherence, reducing adverse drug events among patients.

4) AI-Enhanced Patient Engagement

Artificial intelligence can help boost the patient experience by way of better diagnostics, personalized care and increased time with providers. And those AI-powered solutions like chatbots and virtual assistants can offer personalized support and information, as well.

Personalized Patient Experiences

AI can tailor patient experiences by analyzing data and behavior to provide customized education, reminders, and other services, improving patient satisfaction and outcomes.

Remote Patient Monitoring

AI-powered remote patient monitoring is going to be big. Patients can wear devices and sensors that painlessly collect their health data and transmit it to healthcare providers.

It alerts human experts to intervene quickly if necessary, enabling earlier intervention to prevent emergencies. Remote AI monitoring provides personalized care while avoiding unnecessary hospital trips.

Generative AI

Generative AI is more than just a creative tool. When it comes to patient engagement, it can help patients understand complex health topics by creating easy-to-understand explanations and visuals. It can adapt explanations to a patient's education level and learning style, improving patient education, satisfaction, and adherence.

It can also help provide information—fast.

A word of caution with generative AI—and especially when it comes to healthcare: It needs to be implemented responsibly. It’s important to set up the right rules, for example, so the right people get the right access (and the right information).

If you’d like help with creating or implementing AI solutions, please give us a call. You can also join our upcoming webinar: How To Choose the Right AI Strategy for Your Business to learn more about integrating AI across your organization.