MoreLife launches new data management system
MoreLife along with Leeds Beckett has been collaborating to provide weight management services to the NHS and other community initiatives.
The emerging and limitless application of data science in healthcare is creating a fast-paced growth in the field of health analytics. This is made possible by the availability and fluency of data. The results of big data in healthcare are fast becoming a reality, coming sooner than anticipated, and is witnessed in the form of improved diagnostic accuracy and precisely tailored patient care.
MoreLife, a company partially owned by Leeds Beckett, has been delivering weight management and healthy lifestyle interventions for over 20 years. MoreLife works with Leeds Beckett University researchers and the wider academic community to provide evidence-based weight-management services to the NHS and local initiatives. MoreLife’s core purpose has always centered on delivering tailor-made, evidence-based, and psychologically informed health intervention programmes to individuals, families, local communities, workplaces, and schools. These intervention programs include weight management, giving up smoking, NHS Health Check, healthy eating, and improved physical activity geared towards supporting people to achieve healthy lives.
MoreLife recently launched a new data management system to support core services and research. The main purpose of the multi-dimensional operational data store is for administering health care services with the support of up-to-date IT systems and for research. This initiative entails the digitization and integration of previous medical data available on different databases or traditional paper format with current data to assist in the daily running of health service providers.
Professor Dorothy Monekosso CTO of MoreLife recently came to talk to the Masters Data Science students, where we were able to see how simple variable analysis can identify trends, patterns, and themes which are then considered for deeper exploratory analysis. This in turn leads to better-coordinated projects, predictive modeling, and confirmatory analysis. Data-driven decision support systems are developed to assist with diagnostic accuracy, ease of administering precise patient-specific treatment, care, and post-care, prevention and intervention as well as increase the productivity of workflows around health centres. It was good to see the need for our data science skills in a company such as MoreLife where the data is crucial in providing insight and evaluation in tackling lifestyle concerns such as weight management.