Applications of Business Intelligence in Healthcare Industry — Ampliz_Guide | DigitalNeel07
Artificial intelligence (AI) is being increasingly applied in healthcare to perform tasks that were typically done by humans, but in less time and at a lower cost.
Some current and potential applications of AI in healthcare include-
- Disease diagnosis and prediction: AI algorithms can analyze medical images, electronic health records, and genetic data to predict and diagnose diseases at a faster rate than most medical professionals. Companies such as Viz(dot)AI, PathAI, Regard, Buoy Health, Enlitic, Freenome, and Beth Israel Deaconess Medical Center are using AI to improve diagnostic accuracy and speed.
- Drug discovery and development: AI can help biopharmaceutical companies develop new treatments more efficiently and accurately by analyzing large amounts of data and predicting the properties of small-molecule candidates for drug design and development.
- Personalized Treatment: AI can help doctors develop individualized medical treatment plans by analyzing a patient’s genetic makeup,lifestyle, and medical history. Companies such as Iterative Health and Cleerly are using AI to improve disease identification and treatment.
- Administrative tasks: AI can automate administrative tasks such as scheduling appointments, managing patient records, and processing insurance claims.
- Patient monitoring: AI can track a patient’s movements and vital signs to detect potential falls, health issues, and other risks. Companies such as VirtuSense and Caption Health are using AI to improve patient monitoring and care.
- Mental health: AI can be used to provide mental health support through chatbots, virtual therapists, and other digital tools.
- Surgical assistance: AI-powered robots can assist surgeons during operations by providing precise and steady movements, reducing the risk of human error.
Overall, AI has the potential to revolutionize healthcare by improving diagnostic accuracy, reducing medical errors, accelerating drug discovery and development, and personalizing treatment options.
While there are still challenges to overcome, such as data privacy and accuracy, the benefits of AI in healthcare are becoming increasingly clear.
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