Publications and Other Healthcare Materials
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Maturing Analytics for Success:
Health Care Business Case Development
Healthcare providers and organizations looking to design and market services to supplement and enhance various aspects of health care delivery (from outreach and engagement, to add on features generating improvements in care and outcomes) are constantly challenged with creating the necessary proof points to forecast and validate impact.
The advent of value-based care delivery has opened new opportunities, where it is possible to demonstrate tangible improvements in both health cost and outcomes. However, this requires a more advanced approach to leveraging data and analytics to identify and quantify actionable cause and effect relationships.
Health Services Innovation – A Data-Driven Approach
Successful health care product innovations are more than high end engineering and design. They require a clear understanding of the best “fit” between a market (at risk population) need and the external (drivers of variability) and internal (capabilities, what is actionable) factors that, when taken together, reveal promising avenues for innovation. Identifying data and metrics to codify this understanding helps product teams move past solely relying on measurement of past and current performance (“what is”) toward creating the vision for what should come next (“what could be”). Predictive modeling plays a central role in unlocking the most promising opportunities to create something truly new and innovative.
Getting Started with Consumer Data
Consumer Data refers to individual lifestyle, attitudinal and behavioral data generated by an individual’s engagement or participation in social activities and other life events (e.g., an individual’s online search history, social media activity, purchase transaction history). Living, learning, working, and playing conditions that can affect the health outcomes of populations are known as Social Determinants of Health (SDOH), which can be extracted from consumer data.
Enhancing Healthcare Analytics with Consumer Data
Healthcare organizations are increasingly using consumer data to augment their understanding and insights into the populations they serve, for a variety of purposes – from forecasting health outcomes, risks and future use of services to development of strategies for outreach and engagement. Consumer-generated data includes a wealth of information about individuals – including what they purchase, how they use social media, how many hours their wearable devices say they sleep at night, and other aspects of how and where they live and work.
Roadmap to Harnessing Value via Telehealth
Telehealth initiatives overall have shown potential to complement mainstream healthcare delivery at a lower cost and positive contribution to quality and outcomes (right care, right time).
Telehealth Integration into Care Delivery Post COVID-19
The COVID-19 pandemic has changed the way people interact with each other, turning to video and other forms of social media to stay connected. This embrace of virtual technology has extended to medical care and has paved the way for what may very well result in permanent changes in the how health care is utilized and reimbursed.
Navigating COVID-19 in the Healthcare Industry
We can all agree COVID-19 brought about a seismic shift in the delivery of healthcare in 2020. This article reflects on services shifts, challenges those shifts create and approaches for providers and payers to anticipate and navigate the initiatives.