How AI Is Used In Healthcare?

AI or Artificial Intelligence Technology has widely been accepted around the world, today. Technology is getting increasingly sophisticated at doing things that humans do. Compared to human beings, AI Technology does things more efficiently, quickly, and at a lower cost.

The potential of AI Technology and Robotics in every industry is expanding day by day. Different industries are leveraging technology to offer smooth user-friendly services to everyone around the world.

For quite a long time now, the healthcare sector is also leveraging AI Technology to reshape the industry. The technology not only helps the healthcare providers in taking care of their patients’ personal data but also in their administrative process.

AI, machine learning (ML), natural language processing (NLP) and deep learning (DL) allow healthcare stakeholders and medical professionals to identify the industry need, and solutions faster with more accuracy.

Let’s see how AI Technology helps the Healthcare sector?

AI Technology analyzes the large amount of data secured by healthcare organizations in the form of images, clinical research trials and medical claims. The technology also identifies the patterns in data, which usually are undetectable by human beings.

The integration of AI technology with the healthcare sector has mainly benefitted the stakeholders:

• Teams of clinicians, researchers or data managers involved in clinical trials can speed up the process of medical coding search and confirmation, crucial in conducting and concluding clinical studies.
• Healthcare payers can personalize their health plans by connecting a virtual agent via conversational AI with members interested in customized health solutions.
• Clinicians can improve and customize care to patients by combing through medical data to predict or diagnose disease faster.

How is AI Transforming Healthcare Industry?

• Clinical Decision Support: Across the healthcare industry, artificial intelligence is changing the way clinical providers make decisions. It also decreases the administrative burden on clinicians by improving clinical decision software.
• Reduce Cost: As the industry shifts, there is a great opportunity to use AI in healthcare to help drive cost savings. Leonard D’Avolio, PhD, founder and CEO of Cyft, sees artificial intelligence not as a solution but as a capability, allowing us to learn from data in ways we never could before.
• Healthcare Policy: With this technology evolving rapidly, it only makes sense that policy is racing to keep up. While developing and deploying the technology, AI requires a regulatory approach that fosters innovation, growth and engenders trust, while also avoiding regulatory and non-regulatory actions that hamper its expansion.
• Patient Data: As the technology is integrated into healthcare, it will become easier to find meaning in the massive mountains of patient data.
• Security: The healthcare industry must be vigilant in securing and protecting technologies with vulnerabilities that can be exploited like artificial intelligence and machine learning.