Healthcare is becoming very complex day by day. The data produced by healthcare is so complex that someday it would become difficult to maintain the quality of the healthcare data. A large amount of data is produced by hospitals and other medical institutes, and it is becoming difficult to find what exactly is needed. The healthcare analysis is not only helpful for patients but also for the hospitals which take care of the patients pre- and post-hospitalization. Managing healthcare data also enhances the involvement of patients with the predictive modelling and analysis based on the healthcare data. There are many sources from where a lot of healthcare data can be collected such as electronic medical records (EMR), pathology labs, immunization programs and different surveys in medical camps. These sources give data in multiple formats; so analysing the healthcare data becomes much more complex and difficult. Many different organizations manage their healthcare data using different technologies. In this chapter, we would be discussing various emerging technologies for the healthcare analytics. We would also be discussing various software which help in analysing the healthcare data and the challenges associated with the healthcare analytics.

Chapter Contents:

• 9.1 Introduction
• 9.2 Analytics
• 9.2.1 Descriptive analytics
• 9.2.2 Predictive analytics
• 9.2.3 Perspective analysis
• 9.3 Emerging technologies in healthcare analytics
• 9.3.1 Big data technology in healthcare analytics
• 9.3.2 Internet of Things in healthcare analytics
• 9.3.2.1 IoT for patients
• 9.3.2.2 IoT for physicians
• 9.3.2.3 IoT for hospitals
• 9.3.2.4 IoT for insurance companies
• 9.3.3 Artificial intelligence in healthcare
• 9.3.4 Blockchain in healthcare
• 9.4 History of healthcare analytics
• 9.5 Exploring software for healthcare analytics
• 9.5.1 Anaconda
• 9.5.2 SQLite
• 9.6 Challenges with healthcare analytics
• 9.6.1 High-dimensional data
• 9.6.2 Irregularities in data
• 9.6.3 Missing data
• 9.7 Conclusion
• References

Inspec keywords: health care; electronic health records

Other keywords: healthcare data; EMR; healthcare analytics; electronic medical records; medical institutes

Subjects: Medical administration; Biology and medical computing