GRiP Analytics has a small, focused team with more than 50 years of collective experience in the development of Population Health Management analytics and are delighted to share with you our suite of products and services that we've developed.
SERVICES
Population Health Analytics
Analyse health trends, identify disparities, and measure intervention impacts to improve community health outcomes.
Program Evaluation
Evaluate the effectiveness of health programs, assess ROI, and provide evidence-based recommendations for improvement.
Predictive ModelLing
Forecast health risks, predict disease outbreaks, and stratify patient risk for targeted, proactive interventions.
Data Management
Integrate, clean, and secure data from multiple sources to build scalable, actionable datasets.
AI & MACHINE LEARNING
Develop custom ML models (Propensity score matching, IPTW, ITS, logistic regression, xgboost, cluster analysis, random forests etc) to automate analysis, uncover hidden insights, and support precision health initiatives.
PRODUCTS
Primary Care and Acute data are not easily analysable. In their ‘naked’ form, routinely collected datasets from primary and secondary care are not easy to use. Without processing the data, it can be very difficult to quickly understand someone’s circumstances.
HDIT (Health Data Integration Tool)
GSF - Gold Standards Framework
By focusing on those in greatest need from a 750K population and closing the care gap to ensure people have equitable outcomes we estimate the following system savings could be achieved:
600+ fewer A&E visits in the last six
months of life (with associated costs to
the commissioners of £120k)
500+ fewer emergency inpatient
admissions (with associated costs to the
commissioners of £2m)
5,000 potential bed days saved
100+ people dying in their preferred place of death
