Decision Support Case Study Summary

Some of the goals being implemented in my institution includes: Patient Identification – Goal 1 Improve on accuracy of patient identification (JCI, 2016). The initial step before any procedure, service or treatment

4. Decision support systems - help the developers of an AIS identify what information they

To monitor this, other statistics will need to be monitored, such as the level of care patients are receiving.

Artificial intelligence is the development of a computer system that is able to perform tasks of human intelligence like visual perception, speech recognition, and decision-making. Computer scientists have made a substantial advancement in the

Implementing tools such as the patient activation measure to gauge how active the client is in their healthcare. By recognizing how engaged the client is the provider will know when additional resources are needed. This also allows the patient to be self-aware of the measures they can take to be more active in their own care. In this population, there is a lack of education and awareness of how to appropriately manage health conditions.

Incorporating technology to knowledge can help with early detection of a potential issue. For instance, with the use of informatics, detecting changes in a patient’s health status can happen quickly because the information is immediately accessible (Lee, 2014). It enables

This research aims to present a hybrid intelligence model that can analyze medical data and processes, and provide decision support for

did not have all the information available and some of the patients are lost to

These systems also improve analysis, communication, and aggregation of patient information, thus allowing for better care to be delivered. They also make it easier to consider every single aspect of the patient’s condition. As such, a proper diagnosis is made, and better care can be provided. These systems also support diagnostic and therapeutic decision-making for doctors and other medical practitioners. Additionally, all the relevant patient information including their previous illnesses and lab results are all assembled in one place, allowing the doctors to make a proper diagnosis and carry out the appropriate treatment (Gellert, Ramirez & Webster, 2015).

This system is divided in a knowledge base and inference rules. In the video, this system is used when it comes the control center. The employees are checking flights and regulating flows thanks to precious information given in their computer like the weather, the flow rate and a packaging monitoring.

The concept of artificial intelligence was first labeled by a man named Alan Turing in 1950, he believed that the future would hold the possibility for man to communicate with computers and sustain a conversation (Atkinson, Solar 1). Although, we have reached the point where it is possible to hold a simple preprogrammed conversation with a computer and give them the ability to learn, there is still a long way to go in making computers fully artificially intelligent. Atkinson and Solar continue to describe some real world applications of artificial intelligence such as, “Data mining technologies, fraud detection, and industrial-strength optimization” (8). In these examples, forms of artificial intelligence like cognitive reasoning abilities are already being used making the demand for them higher.

Against the requirements stated by the Toromont Company we can propose following Information System solution:

Artificial intelligence, or AI, is a field of computer science that attempts to simulate characteristics of human intelligence or senses. These include learning, reasoning, and adapting. This field studies the designs of intelligent

Artificial intelligence in Medicine (AIM) [‎18,‎19] frameworks are expected to help healthcare laborers in the typical course of their obligations, supporting assignments that depend on the control of data and information. An AI framework could keep running inside an electronic therapeutic record system, and alarm a clinician when it identifies a contraindication to an arranged treatment. It could likewise alarm the clinician when it distinguishes situations in clinical information that recommend recognizable changes in a patient 's state.

The one of the famous applications of Article Intelligence is expert systems (ESs). The expert systems offer