Data Analytics in Healthcare

Meshva Patel

Prior knowledge:
No previous knowledge expected


In health care, decisions often have life-altering outcomes—both for patients and the population. The ability to gather data, analyze complete and accurate data enables decision-makers to make choices regarding treatments, predict the path of large-scale health events, and plan long-term. Here, data analytics is the foundation for sound, impactful decision-making.


Data analytics is the process of interpreting quantitative data to reveal qualitative insights, answer questions, and identify trends.Big data analytics technologies have demonstrated their promise in enhancing multiple areas of care, from medical imaging and chronic disease management to population health and precision medicine. These algorithms could increase the efficiency of care delivery, reduce administrative burdens, and accelerate disease diagnosis.The trend will continue as digitalisation efforts intensify amid the pandemic, unlocking troves of data that can be used to support treatment of Covid-19 and national vaccination programmes. Here , we will delve into how healthcare providers use different types of analytics to leverage this power to provide significant impact to the population.