Artificial intelligence has the promise to make healthcare professionals smarter, better, faster, and cheaper and, as a result, make patients healthier at less cost and healthcare workers happier, less burned out and more productive. AI could even help transform sickcare into healthcare.
AI will unlock potential across many areas of human health. This article explores 10 specific use cases for AI in healthcare and various medical fields.
With Artificial Intelligence (AI) continually progressing and developing, it’s unsurprising that many companies are aiming to lead in the AI technology market – especially given that the global AI market is on track to be worth over $118 billion by 2022.
But, with the hope comes the hype and the ever present threat of technofatique.
Most businesses are just trying to figure out whether and how to solve the right problem using the right AI technology with the right people. Some are more advanced than others. The sickcare industry, at this point, is still trying to figure it all out as well.
The process typically involves several basic steps.
The first step is an innovation and AI readiness assessment to determine whether you have necessary pieces in place to begin the process, and , if not, then how you fill the gaps.
The second step requires a strategy and tactics for enterprise dissemination, implementation and continuous quality improvement and the people and skills required to do so.
Of course, all this is neither easy nor cheap and there are significant barriers to sickcare dissemination and implementation, including technical, human factor, environmental/legal/ethical/regulatory and business model roadblocks and challenges.
As more healthcare companies start to implement automation technologies, the ability to coordinate across the organization in achieving scale will be a major determinant of success.
A recent analysis noted that As more healthcare companies start to implement automation technologies, the ability to coordinate across the organization in achieving scale will be a major determinant of success.
So, you are a technologist, data scientist or health professional who wants to be the founder of an AI company i.e an AIntrepreneur? If so, you will need to overcome some hurdles at four different levels of the healthcare AI value chain-personal, company, consumer or end-user and the sick care ecosystem of systems. The first step is to find the answers to some basic questions:
- Do you understand the definition and goals of physician entrepreneurship?
- Do you have the requisite entrepreneurial knowledge, skills, attitudes and competencies to be successful? Do you know why your startup will fail? Do you know why non-sickcare entrepreneurs fail?
- Do you understand the people part of AI?
5. Do you understand their problem and the pain it is causing?
6. Are your underlying business model canvas hypotheses valid?
Or, maybe you are the CEO of a health system and how to integrate technologies like AI is keeping you up at night?
Like other medical technology adoption, the process will be evolutionary with fits and starts until it becomes the standard of care.