The Transformation in the Healthcare IT Industry
In the rapidly evolving landscape of healthcare analytics, laying the groundwork for transformative strategies is paramount. Prioritizing data collection infrastructure, privacy protocols, and workforce development serves as the cornerstone for successful analytics initiatives. These foundational pillars, marked by consistency, flexibility, and scalability, highlight the importance of organizational alignment and role definition. Customizing solutions and embracing platform-driven approaches align with evolving data governance structures, facilitating seamless integration and fostering a collaborative ecosystem conducive to transformative analytics outcomes.
Has your team identified the right opportunities in healthcare analytics to drive growth & innovation?
Frost & Sullivan’s Healthcare IT Think Tank series delved into the fascinating realm of “Building a Strong Data Foundation for Healthcare Analytics: Best Practices for Payors & Providers” This engaging discussion yielded pivotal contributions that are shaping the future of the industry, thanks to the collaborative efforts of visionary experts.
The following experts collectively brainstormed to craft transformative perspectives:
Dr. David Nace, Chief Medical Officer, Innovaccer; Nicholas Mattison, System Director of Clinical and Quality Analytics, Fairview Health Services; Greg Caressi, Growth Coach and Senior Vice President; and Dr. Rishi Pathak, Growth Expert & Research Director, Frost & Sullivan.
Note: Gain valuable perspectives from these industry experts by clicking here to access the recorded session of the Think Tank.
Staying Ahead in Healthcare Analytics: Is Your Company Embracing the Rapid Transformation?
- Foundational Elements of Analytics Infrastructure: Prioritizing data collection infrastructure, data privacy, and workforce development sets the groundwork for an effective data analytics strategy in healthcare organizations. Characteristics such as consistency, flexibility, transparency, scalability, reusability, and reproductivity emerge as foundational pillars for the analytics infrastructure.
Are you building a strong data analytics infrastructure to support your growth strategy?
- Organizational Alignment and Role Definition: Instituting a “data-first” policy and delineating roles within healthcare organizations foster alignment and obliterate silos. Crafting an end-state vision clarifies how data will be utilized across the organization and underscores its intended purpose, promoting holistic data-driven initiatives.
Is your team adopting a data-first policy to eliminate silos and leverage data for identifying growth opportunities?
- Investments in People and Processes: Maximizing data utilization demands investments in people and processes within healthcare organizations. Enhancing data literacy, establishing standardized frameworks, appointing a dedicated data governance team led by a Chief Analytics Officer, and implementing continuous monitoring mechanisms are pivotal steps. Additionally, evaluating the return on investment (ROI) ensures sustained data-driven growth.
Is your company evaluating and investing in processes to develop a robust growth pipeline?
- Tailored Solutions and Platform-Based Approaches: Health IT vendors must customize offerings to align with customer data governance structures, analytics team configurations, and insights dissemination processes. Embracing a platform-based approach to data maintenance facilitates seamless integration within existing IT frameworks while minimizing data loss and privacy breaches. This collaborative effort between vendors and end users cultivates a robust central data infrastructure conducive to downstream analytics.
Is your growth team actively monitoring and benchmarking disruptive data platforms to enhance growth prospects?
