The Impact of Artificial Intelligence on Healthcare Technology
Artificial Intelligence (AI) is gaining momentum in the healthcare industry, and IT executives are expanding their use of these technologies, creating solutions to accommodate the growing demand for AI tools. Artificial intelligence is on its way to becoming the new standard for user interfaces in healthcare IT over the next few years; AI is undoubtedly the future of healthcare.
Other industries, such as retail and finance, have seen significant advancements in artificial intelligence and predictive analytics. Healthcare has some catching up to do, some hospitals and health systems are leveraging information technology to their advantage, with an expected telehealth boom making its mark in the industry. As patients look to healthcare to ensure they receive quality customer care, such as that provided by retailers and banks, healthcare is making a transition to a patient outcomes-based model.
These advancements, bring the questions of how AI will affect data, IoT, and cybersecurity. As you read further, we will dive deeper into these areas and how artificial intelligence brings a positive light to the topics most CIO’s have top of mind.
Artificial intelligence is utilized in various ways throughout the healthcare industry. An area that is a high concern for IT professionals in our current age, in addition to physical security, is that of cybersecurity. AI is proving to be an effective asset in cybersecurity and healthcare, CIO’s should be recognizing the ability that AI has to enhance technology and pinpoint malicious activity to keep systems and data safe. Security information and event management alerts are a few areas AI has proven to shine, igniting high interest in healthcare IT professionals.
Computers are enabled by artificial intelligence to handle a greater amount of work than an individual human can undertake. In an era of consumerization, this is proving to be extremely valuable in keeping data safe.
One of the main components responsible for the swift adoption of artificial intelligence in healthcare relates to the availability of large volumes of personal health data. Health professionals are overwhelmed with information, and AI will be a huge player in organizing raw data into high-quality predictions. Along with the information above related to cybersecurity, mixed with additional infrastructure components, an approach using machine learning may help organizations respond with actions to predict data leaks.
Artificial Intelligence has a growing role in healthcare, which is now moving to the patient level in addition to its role in the back-end.
