Artificial intelligence (AI) has established a dominant disruption in transportation, marketing and financial services, among other divisions. In the realm of healthcare, AI is gaining momentum and has the potential to considerably change the industry, from the exam room to the back office to the supply chain.
Forrester predicts, “70% of enterprises are anticipated to implement AI over the next 12 months. In 2018, 25% of enterprises will supplement point-and-click analytics with conversational interfaces. 20% will position AI to make decisions and deliver real-time instructions.”
Delivering successive visualizations in real time will become standard features of diagnostic applications. As a result, AI will advise what to offer customers, endorse terms to give suppliers, and educate employees on what to say and do in real time according to Forbes.com.
This next level generation of technology is still in the preliminary stages of development. The advancements of artificial intelligence will occur every day and will begin to develop significantly quicker as technologies become readily available.
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Remember, AI is an advanced strategy of data innovation, not a dictated end to data analyzation.
AI and augmented reality technology assists in obtaining computer-generated images of data and providing a visual holistic view. A healthcare practitioner can have access to in-depth, detailed imaging to conduct the evaluation through this view.
For example, in a recent partnership with IBM Watson, Memorial Sloan Kettering (MSK) has collected, stored, and evaluated reams of data on cancer patients and treatments used over decades. MSK is now able to present and recommend treatment theories or options to doctors in dealing with unique cancer cases, by pulling from what worked best in the past.
Take the Step Towards Innovation
AI hinges on the goal of learning and educated diagnosis to provide optimal value. The first step a company takes towards innovation includes a pilot AI program. The program will reveal the positives and negatives of harnessing AI to innovate the data within the company.
Every healthcare facility can benefit from a conversation about AI. It’s safe to say that it’s never too late to begin the process of data innovation. A healthcare facility that updates, understands, and optimizes their collected data will thrive in the marketplace.
How can your company benefit from implementing AI integration? Does your company have any success stories in this area?