Solutions

One of the main problems worrying individuals familiar with artificial intelligence in healthcare is how to prevent patient injuries. Through researching solutions to this problem, three solutions stick out: quality data, oversight and increased education in health care. By having quality data sets, it allows the information system to perform excellent statistical analysis. More data and better quality data decreases discrepancies and provides health care providers with a clearer picture. The second solution looks at the checks and balances needed in order to make sure the information system operates properly. The FDA regulates AI software in the healthcare market. This allows healthcare providers to understand they are acquiring a quality product. Additionally, health care associations are offering their stamp of approval to firms that inquire. The last solution is to educate health care providers about artificial intelligence. At the end of the day, it is the doctor diagnosing the patient. The doctor should have a basic understanding of the statistical analysis going on and how the information systems work. In turn, this will allow the doctor to notice irregularities.

The best solution for the patient injury problem is to provide healthcare providers with an educational basis. This creates the most impactful results.The most important line of communication is between the doctor and the information system. The technology is supposed to enhance his medical care to his or her patients. In this scenario, the goal of artificial intelligence is to combine the information system’s explicit knowledge with the doctor’s tacit knowledge. Two IT systems that will be utilized are data warehouses and SQL. A data warehouse is important because it contains a portfolio of data for the artificial intelligence system to access. SQL is important because it allows healthcare providers to better synthesize the data. These two IT systems play an integral part in healthcare’s use of artificial intelligence.