Health analytics involves analysing and interpreting data related to healthcare to gain insights into patient outcomes, treatment effectiveness, and overall healthcare system performance. The goal is to inform decision-making, improve patient care, and enhance the overall efficiency of healthcare delivery.
Here are some common types of analysis we do within health analytics :
Analysing patient data to understand the characteristics of the population, such as age, gender, ethnicity, and location.
Examining the frequency and distribution of specific diseases or health conditions within a population.
Predicting the likelihood of patients being readmitted to the hospital after discharge by different characteristics such as age, gender, race and region.
Analysing patient feedback and experience data to improve healthcare services.
Evaluating the costs associated with different treatments, healthcare services and patients.
Cost-Benefit Analysis: Assessing the economic impact of health interventions and programs.
Evaluating the extent to which healthcare providers adhere to established clinical guidelines.
Analysing data to identify and reduce incidents of medical errors or adverse events.
Understanding how social and economic factors impact health outcomes.
Analysing data to identify and address disparities in healthcare access and outcomes.
Integrating data from various sources, such as electronic health records, to provide a comprehensive view of patient health.
Ensuring seamless exchange of information between different healthcare systems.
We have individuals with NHS trust and regulatory experience, analysing, producing insights and reports with healthcare data. We are also supported by our IT team who can build interactive tools for our customers to use.