Applications of artificial intelligence and expert systems
Find applications of artificial intelligence and expert systems. Identify an organization with which at
least one member of your group has a good contact who has a decision-making problem that requires some expertise (but is not too complicated). Understand the nature of its business and identify problems that have been supported or can potentially be supported by intelligent systems. Some
examples include selection of suppliers, selection of new employee, job assignments computer
selection, market-contact method selection, and determining admission to graduate school.
Sample Solution
One organization that could potentially benefit from the use of artificial intelligence and expert systems is a hospital or other health care facility. At many hospitals, it can be difficult for physicians to keep up with all of the latest developments in medical science,
particularly when they are managing multiple patients’ cases at once. Artificial intelligence and expert systems can help them quickly access relevant information about treatments and interventions for specific patient conditions. For example, AI-based decision support tools might suggest medications tailored to individual patients based on their symptoms and medical history, helping doctors make more effective treatment decisions in less time than would otherwise be possible.
AI-driven medical diagnosis systems could also reduce the need for lengthy diagnosis processes by providing faster, more accurate diagnoses. By leveraging big data collected from previous cases as well as current patient data and images (such as X-rays), this type of system can provide an automated diagnostic assessment within seconds instead of minutes or hours. This could significantly decrease expensive waiting times in emergency rooms by allowing physicians to move onto other tasks while the computer carries out its analysis without requiring additional staff resources.
In addition to clinical applications such as those mentioned above, AI-based technologies have been used successfully for administrative tasks within hospitals such as scheduling appointments with high accuracy levels using natural language processing algorithms. Furthermore, these tools can also be used to automate mundane paperwork like insurance forms, reducing manual labor costs associated with these clerical jobs while improving accuracy since human errors are eliminated from the equation altogether.
Finally, AI-powered approaches also hold promise in streamlining workflows related to billing procedures through automation of codes recognition which eliminates manual coding mistakes so often made due to lack of knowledge or fatigue on behalf of coders—mistakes which would lead not only to additional costs but potentially even fines in some cases if detected afterwards by external agencies during audits (due to improper reimbursements). All this points towards smarter overall financial management through better budgeting strategies enabled by improved efficiency brought forth artificial intelligence solutions that allow healthcare professionals focus on delivering proper patient care rather than struggling with back office operations that take away valuable time from their core duties thus making better use of available resources for everyone's benefit including both employees and end users alike .