Headspace Project: An Automated Information Recording System Analysis
VerifiedAdded on 2019/11/26
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Project
AI Summary
This project delves into the development of an automated information recording system for the Headspace project, an initiative aimed at improving mental health services for Australian youth. The project addresses the inefficiency of the current system, which requires patients to repeatedly share their stories, leading to frustration. The proposed solution is an automated system that captures patient stories in the first session, reducing repetition and improving the patient experience. The project includes a stakeholder map identifying key stakeholders such as patients, healthcare experts, and the Australian government. It employs questionnaire techniques to gather information from stakeholders, and develops a use case model outlining functionalities like application login, patient story feeding, information extraction, data analysis, medical comments, and user management. The fully developed use case example focuses on feeding the patient story into the system, detailing the trigger event, pre-conditions, post-conditions, and the sequence of operations involved. The system leverages Business Intelligence tools for data analysis to assist healthcare professionals in determining patient conditions and offers a secure and efficient method for managing patient information. References to relevant literature are also provided to support the project's findings and recommendations.
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