Analytics in the World of Healthcare - A Survey Report

The Growing Importance of Data and Analytics in Healthcare

We conducted a survey across healthcare organisations in the GCC and India region, focusing on themes around Digital Maturity, Data and Analytics Adoption, Analytics Applications, and use-cases across the enterprise.

Inputs and responses were sought from industry leaders and C-Suite executives along with the regulators, healthcare providers, pharmaceutical companies, healthcare entities, and medical insurance providers for generating the survey report outcomes.

The report presents useful insights into how data and analytics can augment healthcare stakeholders’ decision-making. It also offers insights that will help lower costs of providing quality care, work more efficiently, and interact with patients and consumers more effectively.

Topics

Cybersecurity and Privacy Risk Management and Regulatory Compliance Business Performance

Key Takeaways

The survey focused on the two main themes of Digital Maturity and Data & Analytics Adoption and Analytics Applications and Use Cases. The key findings from the survey are detailed below:

1. Digital’ is of key importance on Leadership’s agenda across the Healthcare Industry

About 85% of respondents agreed that it is ‘critical’ or ‘essential’ to have digital on leadership’s agenda.

2. Most organizations still label themselves as ‘Digital Beginners’ in adoption of digital

64% of respondents agreed they are ‘Digital Beginners’ when asked about their level of readiness in adopting digital trends/emerging technologies.

3. Having a robust Digital and Analytics strategy is still a work in progress

75% of respondents agree that their organizations’ strategic roadmap needs to be developed or needs revision.

4. An encouraging regulatory environment to support analytics is crucial

71% of respondents have indicated that the regulatory framework encourages adoption.

5. There needs to be more investment in data infrastructure to leverage data analytics

46% are not incredibly confident that their data infrastructure or data management framework is apt for analytics.

6. A majority is still using traditional tools and has not tested advanced analytics

70% of healthcare organizations always rely primarily on traditional tools such as excel and two-thirds do not have the infrastructure available to use advanced analytics.