Ben Harvey
AI-Integrated Patient Records
Using AI programs to integrate into Patient Records for Personalised Healthcare
The Project
This project involves the newest development of artificial intelligence (AI) and combines it into patient records to identify and highlight medical risks and hazards for individual patients, with a focus on enhancing user experience (UX) through comprehensive research and thoughtful design. By leveraging AI technology, the project aims to enhance productivity, accelerate the adoption of digital healthcare, and personalise patient care.
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Benefits of this:
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Empowers healthcare providers with actionable insights to deliver personalised and proactive patient care.
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Improves patient outcomes by enabling early detection and intervention for potential health risks.
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Enhances patient engagement and satisfaction through personalised healthcare recommendations and interventions.
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Supports healthcare professionals in making informed decisions and optimising treatment plans based on individual patient needs.
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Services
UX Research
UX Design
Python
Production tools
Figma
Python
Electronic Patient Records
Jira
Lead Time
24 Months Contract
12 Months Research
12 Months Design
Research
Stakeholders gathering
Usability study
AI Capabilities
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Outcomes
Mitigate hazards of health risks
Support for GPs, Doctors and clinicians
Automated software
Design
Interface of potential risks
Python Code
Figma prototypes
User Research
Project Kick Off
We arranged a meeting with chief medical officers, head of patient safety and the dev team to discuss the following points:​
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What currently is being miss misprescribed and misdiagnosed?
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What is an increase in patient health issues?
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What illness do you think could have been detected earlier?
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What are the most time-constraining areas in healthcare?

This Project is in Progress
Due to non-disclosure agreements, specifics regarding the project cannot be disclosed at this time. Responsibilities include access to sensitive data, which cannot be released until January 2025