Data analytics is an important field that is expected to play a significant role in the future of healthcare. As healthcare organizations continue to collect and generate large amounts of data from a variety of sources, including electronic health records, medical devices, and clinical trials, the use of data analytics will become increasingly important in order to extract insights and inform decision-making. Some of the key ways in which data analytics is expected to shape the future of healthcare include:

1. Improving patient care: Data analytics can be used to identify patterns and trends in patient data that can inform the development of more effective treatment plans and interventions. This can help to improve patient outcomes and reduce the risk of complications.
2. Enhancing population health: By collecting and analyzing data on population health trends, healthcare organizations can identify potential health risks and implement interventions to prevent or mitigate these risks. This can help to improve the overall health of a population.
3. Developing new therapies: Data analytics can be used to identify potential new treatments and therapies, which can then be tested in further clinical trials to determine their effectiveness. This can help to drive the development of new and more effective treatments.
4. Enhancing research: By collecting and analyzing data from various sources, researchers can gain insights into a wide range of health-related questions and advance our understanding of human health and disease. This can help to drive the development of new therapies and interventions.

Overall, the future of data analytics in healthcare is expected to be a key driver of innovation and improvement in the industry, as it allows healthcare organizations to extract insights from large amounts of data and inform decision-making.