Artificial Intelligence in Healthcare


Artificial Intelligence in Healthcare

The ability of Artificial Intelligence to perform human like problem solving task, paves way for it’s use in varied industries. One such industry is healthcare.

In this growing digital age , the implementation of AI and Machine Learning in the field of healthcare continues to evolve. Machine Learning- a subset of AI, uses algorithms and data to give automated insights to healthcare providers. It has the potential of providing data driven Clinical Decision Support (CDS).

IBM Watson’s ability to fleck treatments for cancer patients and Goggle Cloud’s healthcare app that enables health organizations to store, collect and access data are examples of how AI is impacting healthcare. AI helps in discovering new drugs and foster preventive medicines.

According to certain reports 30 percent of healthcare costs are associated with administrative tasks. However, including AI in the world of healthcare promotes multiple benefits, viz. automating tasks and analyzing big data sets of patients to deliver better healthcare faster and at a lower cost. Having patient insights help healthcare organizations discover and focus on areas which require care and improvement. Also, patient insights leads to making more accurate predictive analysis. Wearable healthcare gadgets also uses AI technology to serve patients.

Continuous demand for digital medicine, wearable technology and growth of digital era is making road for AI in healthcare. Hospitals and healthcare professionals are seeing the benefits in using AI in technology and storing patients' data on private clouds. AI will continue to accelerate as industry dives deeper into digital health.