The idea behind this project is Public Health Analysis and Health promotion using The Big Cities Coalition data set.
Finding patterns and trends in data can prove invaluable when promoting health changes or introducing health initiatives. Analysis of this data will allow initiatives or interventions to be tailored to the requirements of specific cities or states across America.
This would ensure that the right treatment or guidance reaches the right people, at the right time. It could assist in recognising shortfalls or gaps in healthcare for specific areas and highlight any environmental or social factors affecting the population at any given time.
About Me
Course: BSc (Hon) Health Informatics
Biography: Extremely proud to be one of the first Health Informatics graduates from Teesside University. I have a great passion for health innovation, developing existing processes and personalised healthcare. The many skills I have acquired assist in making the process of data collection, analysis and visualisation more efficient and accurate, enabling the integration of heterogeneous data sources whilst maintaining the integrity of the information.
Software and Hardware Proficiencies: SQL, SSIS, SSAS, SSRS, Power-BI
Employment, Work experience and Volunteering: Volunteer-Information Management; South Tees NHS Trust. Student Placement; South Tees NHS Trust. Work: Dementia Champion, Healthcare assistant in Residential and EMI care.
Interests: I have a keen interest in Artificial Intelligence in Healthcare, particularly Machine Learning. I am very passionate about personalised care and tailoring treatments to individual needs. The ability to recognise complex patterns in health data makes this possible and as our health datasets grow, adding more variables by integrating health data sources, will make treatments more refined. I am excited to see the future of digital health.
