Data Use Cases in Healthcare
Anticipate demand on systems & uncover patterns
Anticipate demand on health and care service and where systems are likely to face strain. Uncover patterns, correlations and other actionable insights from the data to streamline services, ensure public safety and maximise tight budgets
Ensuring Security of Medical Records
Medical data is extremely sensitive and predictive analytics and artificial intelligence play a major role in cybersecurity. Tools are used to assess patterns in data sharing, access, and utilisation can display an early warning for healthcare providers when unusual activity has been conducted.
Predicting future healthcare risks
Predictive analytics can be utilised in
healthcare to suggest who may be at risk and improve patient’s treatment. This is particularly useful in the case of patients with complex medical histories, those with rare conditions or those suffering from multiple conditions. Tools can predict, for example, who may be at risk of diabetes, and therefore they can be advised to make use of additional check-ups or weight management.
Medical Image Analysis
Medical Imaging such as MRI and X-ray are vital and the images must be examined individually by radiologists, a time-consuming process. The use of Data Science can change the way images are read: algorithms developed analysing hundreds of thousands of images could identify specific patterns in the pixels and convert it into a number to help the physician with the diagnosis. the insights and diagnosis from these images can then be used to suggest better treatment solutions.
Too many employees on a shift leads to unnecessary labour costs, however having too few employees could cause major issues for healthcare providers. Data can be used from a variety of sources, especially hospital admissions records and time series analysis can be conducted to search for relevant patterns in admissions rates. Machine learning can then be used to find the most accurate algorithms that predict future admissions trends. This will help to ensure the patient to employee ratio is sufficient
Here the Adatis team share their latest perspectives on all things advanced data analytics