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Four Keys to Driving Meaningful Change for Successful Population Health Management
The transition to value-based care, and the advancement of technologies to support the gathering, storage and analysis of healthcare data, is paving the way to insights that can drive significant improvements in care delivery and clinical outcomes. However, the path forward to achieving meaningful change and successful population health management is not easy. There are significant challenges that healthcare organizations, and their community partners, will need to overcome. Here are four keys to driving meaningful change while overcoming the challenges ahead:
- Bridging Silos – Harmonizing the approach to health data and outcomes across the healthcare environment is one of the biggest challenges for successful interoperability. Optimizing the interoperability of data sources, medical devices, analytics tools and people in the healthcare environment should be a priority.
- Refining the Analytics Process – Healthcare analytics is a new specialty in the industry and core competencies are still being developed. Preparing for and continuing to refine the analytics process will help drive the appropriate use of big data for maximum impact in the healthcare industry.
- Leveraging Big Data – A key challenge of big data is translating information at the population level to outcomes at the patient level. Providing clinicians and consumers with usable insights and tools to bridge this gap should be the goal of any big data project.
- Improving Collaboration – Despite the prevalence of technology, it alone cannot drive change—the people behind the technology, and using the data, must collaborate and achieve consensus on key issues to drive meaningful change. Collaboration requires cooperation and communication between multiple players, from administrators, to clinicians, to IT professionals, to patients and consumers.
For healthcare IT to drive meaningful change we need to bridge the gap between big data, analytics and interoperability to achieve a more coordinated and proactive approach to care. This requires conversation and understanding. Join me at the Health 2.0 conference (booth 607), to continue this discussion.
Dr. Tariq Dastagir is the lead medical director at Transcend Insights, a population health management company located in California. Dr. Dastagir is a board-certified physician in internal medicine and clinical informatics. His work includes leveraging machine learning to better understand complex disease ecosystems and use this knowledge to enhance physicians’ and patients’ understanding of the chronic disease progression and modifiable factors, enabling better personalized medicine practice. He also actively practices as a hospitalist.