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Personalized Care Pathways using BPM and AI techniques
Personalized Care Pathways using BPM and AI techniques

... The MobiGuide project develops an intelligent system for patients with chronic illnesses, such as cardiac arrhythmias, diabetes, and high blood pressure. The patients wear sensors that can monitor bio-signals (e.g., heart rate, blood pressure); the signals are transmitted to their Smartphone. The Mo ...
DSS - IT Knowledge Base
DSS - IT Knowledge Base

... that helps gather, organize, and share business knowledge within an organization Hypermedia databases that store and disseminate business knowledge. May also be called knowledge bases Best practices, policies, business solutions Entered through the enterprise knowledge ...
Decision support system
Decision support system

... • Decision support system (DSS) – a highly flexible and interactive system that is designed to support decision making when the problem is not structured • Decision support systems help you analyze, but you must know how to solve the problem, and how to use the results of the analysis ...
Artificial Intelligence in Psychological Practice
Artificial Intelligence in Psychological Practice

... include the capability for trainees to receive adaptive and customized training that is highly realistic and also available to the trainee at any time. This can provide the added benefit of freeing up instructors to play a more advanced role in guiding student training. More research is needed, howe ...
USMLE Step2 CS - University of Michigan Health System
USMLE Step2 CS - University of Michigan Health System

... Content of Door Instructions For each patient encounter, there will be door instructions that include: – Pt name, age, chief complaint and the site where the patient is being seen (e.g. in-patient unit, urgent care or outpatient clinic.) – Pt’s vital signs (can be trusted, do not need to re-take) – ...
2.2 Health Recommender System - YesBut
2.2 Health Recommender System - YesBut

... with different situations occurred to patients. It is sometimes difficult to keep up to date with plenty and complex drug information even for an experienced GP, let alone the ones in internship. Moreover, contraindications of many drugs may bring chronic harm to unsuitable patients or what’s worse ...
Artificial intelligence in clinical research
Artificial intelligence in clinical research

... process of drug development. It takes anywhere in the range of 10 to 15 years, here and there significantly more, to convey a medication from introductory revelation to the hands of patients – and that voyage can cost billions up to 12 billion, to be correct. That is just a lot to spend, and excessi ...
Chapter Slides
Chapter Slides

... • An IS that is focused on meeting the strategic needs of the organisation • Designed explicitly for the purposes of senior management • Used by senior management without technical intermediaries Easy to use, easy to learn ...
Interpreting streaming biosignals: in search of best approaches to augmenting mobile health monitoring with machine learning for adaptive clinical decision support
Interpreting streaming biosignals: in search of best approaches to augmenting mobile health monitoring with machine learning for adaptive clinical decision support

... to promote health and prevent chronic illnesses associated with overweight/obesity. We begin to explore extending these and other m-health applications with generic AI-based decision support and machine learning. Monitoring success of different behavioural change strategies could provide a basis for ...
Clinical method
Clinical method

... documentation of medical acts, the steps taken, which must be controllable, - is conceived, planned and implemented by non-medical staff or by medical staff without clinical expertise, who claim to determine the way in which clinicians should act ...
Expert Systems in Medicine: Academic Illusion or Real Power?
Expert Systems in Medicine: Academic Illusion or Real Power?

... systems were developed to assist clinicians in the process of diagnosis, typically with the intention that it would be used during a clinical encounter with a patient. Most of them were not developed further than the research laboratory. Others, however, have continued to be developed and have been ...
Chapter 1
Chapter 1

... Correlate absenteeism with medical conditions Allows ROI calculations for health care providers… ...
MIS 301 - Technology & Management
MIS 301 - Technology & Management

... Cost of virtual experimentation is much lower Simulated compression of time. Manipulating the model is much easier The cost of mistakes are much lower Modeling for “what-ifs” Analysis and comparison of a large number ...
Medical applications of Multi-Agent Systems
Medical applications of Multi-Agent Systems

... • All the data of the patients and doctors (and also their queries) are received by an agent called Communicator Manager, that forwards this information to an agent that controls the access to the Data Base (the DataBase Wrapper). This agent has to implement security mechanisms to protect the privac ...
Natural Language Processing COMPSCI 423/723
Natural Language Processing COMPSCI 423/723

... AI in Medicine: Example Systems • HELP (Health Evaluation through Logical Processing) – http://www.openclinical.org/aisp_help.html – "HELP was the first hospital information system to collect patient data needed for clinical decision-making and at the same time incorporate a medical knowledge base ...
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... • Medical databases • Expert systems ...
Expert Systems - Watford Grammar School for Boys Intranet
Expert Systems - Watford Grammar School for Boys Intranet

... Created from research into Artificial Intelligence – AI Also known as knowledge based systems. Based on Facts & Rules. A system that attempts to replicate a human expert in solving specific problems or making decisions ...
mss
mss

... Does more information lead to better quality decisions? ...
Comparative Analysis of Prediction Accuracy of General and
Comparative Analysis of Prediction Accuracy of General and

... have been developed and being used with limited success from the diagnosis to risk assessment to treatment. The accuracy of such data mining based expert systems is not very high. This type of system uses historical data of the patients scattered around the country and even several times around the ...
Organizational Foundations of Information Systems
Organizational Foundations of Information Systems

... • GIS databases consist of sets of information called layers. Each layer represents a particular type of geographic data such as roads, utilities, population, elevation, and so on. The GIS can combine these layers into one image. ...
Decision
Decision

... Input/Output Devices • Data Glove • Walker • Creating Telepresence With Sight, Sound, and Touch ...
Chap010
Chap010

... the optimal value for a target variable ...
group13(AI in medicine)
group13(AI in medicine)

... Provide clear and logical explanation of reasoning. Explore how human experts make these rough (but important) guesses. Useful for junior or non-specialized doctors. ...
Towards Smart E-Health Sensor Networks
Towards Smart E-Health Sensor Networks

... related to the patient health and his/her protection, others are related to the patient information, and some others are associated to the used technology. In fact, these issues cannot be totally separated. Patient health is the responsibility of the hospital staff that they might depend on smart so ...
Info Systems
Info Systems

...  More reliable than humans, incorporating expertise from many sources.  Able to deduce rules that are not apparent, even to experts  Capable of being extended, as the system is applied and knowledge grows  Built in high-level computer languages (called Shell – e.g. CLIPS, JESS, DROOLS) requiring ...
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Clinical decision support system

A clinical decision support system (CDSS) is a health information technology system that is designed to assist physicians and other health professionals with clinical decision-making tasks. A working definition has been proposed by Robert Hayward of the Centre for Health Evidence: ""Clinical Decision Support systems link health observations with health knowledge to influence health choices by clinicians for improved health care"". CDSSs constitute a major topic in artificial intelligence in medicine.
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