The Vision for a Person-Centered Health Information System

Agent‐Oriented Software Engineering Methodologies: Analysis and Future Directions

“…e O-MaSE process structure [27,42] assists processing engineers in order to determine custom MAS analysis activates. It offers the models, principles, approaches fragments, and guidelines necessary to collect O-MaSE-compatible operations with the main goal to (ii) Will also be easier to combine the parts from other approaches into ADELFE (ii) Some definitions of work still do not exist (ii) A sample application of ADELFE focusing on analysis and design of the mechanical synthesis problem [43] (iii) Use the cooperation rules [49] (iii) Sometimes the developer may find the graphical modeling tool difficult to use [49] (iii) A tool for generating model transformations by example in MASs [62] (iv) Allows different UML/AUML realizations (iv) ADELFE 3.0 design, building adaptive multiagent systems based on simulation a case study [1] ASEME (i) Supports documentation of nonfunctional requirements (i) e guidelines are missing because the authors rely only on the paradigm shifts (i) Automated product pricing using argumentation [54] (ii) Provides the model transformations among the various development stages (ii) e same thing happens with the tasks to be conducted in each stage of development (ii) Using ASEME methodology for model-driven agent systems development [35] (iii) Some processes need to be improved (iii) Engineering an agent-based system for product pricing and automation [35] (iv) In requirements, implementation, and design, there are no guidelines for the production of models (iv) Using agent-based methodologies in healthcare information systems [47] Prometheus (i) Offers a complete lifecycle methodology from requirements specification to detailed design (i) ere is less focus on initial requirements (i) An open meteorological alerting system: issues and solutions [63] (ii) Supports both dynamic and static models for individual agents (ii) It does not deal at all with mobile agents (ii) Tool support for agent development using the Prometheus methodology in quality software [64] (iii) Provides elaborated guidance on how to carry out the different stages (iii) It cannot be established on UML (iii) AO modeling and development of a person-following mobile robot [65] (iv) Gives clear support to the environment concept (iv) Support for the socialite side of the agent focuses on the lowest common divisors: messages and protocols As for the method fragments, these are processes followed to provide a set of work products, possibly including diagrams, documents, or codes.…”

“…In ADELFE, while complementing the workflow requirements, this operation consists of three steps: designing UC, clarifying the linked sequence diagrams, and determining collaboration failures. In these UC, only energetic components are implicit and appear as the products of an effective requirements group [49].…”

“…Exploring situation collaboration failure in the system and within its conditions is carried out so as to help developers in identifying problems and noncooperative items and incidents. is definition serves as a filter across the evolution activities to later define the agents in the process [49]. Instead of using the objectives in the requirements engineering stage, PASSI authors prefer the approach of Booch et al [50] and use the UC diagrams to describe requirements.…”

Testing cost containment of future healthcare with maintained or improved quality—The COSTCARES project

“…For example, data mining and decision-making capabilities can point to potential risk events for each patient, as well as contribute to the health of the population by providing insights into the causes of disease complications. 36 Moreover, ensuring information security and privacy in the healthcare sector is becoming increasingly important. The adoption of digital patient records, tighter regulation, consolidation of providers, and the growing need for information from patients, providers, and payers point to the need for better information security.…”

“…In addition to the integrated role of IT in clinical and diagnostic equipment, it has a unique position to capture, store, process, and timely transmit information to better coordinate health care at both the individual and population levels. For example, data mining and decision‐making capabilities can point to potential risk events for each patient, as well as contribute to the health of the population by providing insights into the causes of disease complications 36 …”