Artificial intelligence can support doctors by analyzing thousands of medical papers using natural language processing to inform treatment plans. Every technology has its own set of strengths and weaknesses. In the following article, we will explore the challenges of artificial intelligence in the healthcare industry.
Artificial intelligence (AI) has rapidly disrupted numerous industries, such as advertising, retail, manufacturing, and tourism, with its path-breaking applications. In the last few years, the healthcare industry has witnessed several innovations that improved treatment, disease analysis, and patient satisfaction. Technology has, to a large extent, changed the way doctors treat their patients. A lot of work has been taking place in the field of AI reducing costs and improving efficiency. Despite promising early signs, there are some serious obstacles that artificial intelligence should overcome to fully enhance the healthcare industry.
Before getting into the challenges that are faced by AI in the healthcare industry, let us take a look at some of the most sucecssful use cases in the sector:
AI algorithms analyse large volume of data learning to perform better. An AI system is first trained with carefully curated data, deployed in any application area. If the data that is available for training an AI system is inadequate, the system will fail to offer the expected results. Dr, Robert Mittendorff, explains “curated data sets that are robust and have both the breadth and depth for training in a particular application are essential, but particl hard to access due to privacy concerns, record identification concerns, and HIPAA.”
Another big challenge lies in constructing medical solutions. The expectation is that experts should build AI systems that offer accurate results when implemented in a medical clinic or a hospital. However, doctors who have used AI in their hospitals have a rather disappointing feedback to share. One such feedback comes from Dr. Jose I. Almedia, that goes as follow, “we implemented our first EMR system hoping it would improve efficiency. We are now on our fourth, and remain disappointed. Right now, it’s been more of a hassle than a time-saver, and has disrupted the doctor/patient relationship by forcing a screen between physicians and their patients.”
In the very complex world of healthcare, artificial intelligence tools can support human providers to provide faster service, diagnose issues and analyze data to identify trends or genetic information that would predispose someone to a particular disease. When saving minutes can mean saving lives, AI can be transformative not only for healthcare but for every single patient.
Naveen is the Founder and CEO of Allerin, a software solutions provider that delivers innovative and agile solutions that enable to automate, inspire and impress. He is a seasoned professional with more than 20 years of experience, with extensive experience in customizing open source products for cost optimizations of large scale IT deployment. He is currently working on Internet of Things solutions with Big Data Analytics. Naveen completed his programming qualifications in various Indian institutes.