Publications and Other Healthcare Materials

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Advancing Analytics for Population Health Management – Article 3 – May 2023

Accounting for Health Risk and Disease Prevalence

Population Health Management requires providers and program managers to maintain a delicate balance between taking a longer-term view of a target population (patient) experience and outcomes versus a short-term focus on individuals participating in a health management program and their near-term cost, utilization and outcomes.  It is often difficult to see the forest for the trees, when too much of the analytic focus is centered around short-term experience, particularly when measured by cost and utilization results.

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Advancing Analytics for Population Health Management – Article 2 – May 2023

Using a cost and utilization lens to evaluate and improve health care delivery

As interest in improving care management grows, it is important to establish which models of care are most effective. As described in our first article in this series on “Analytics for Population Health Management”, it has now been over ten years since the Institute for Healthcare Improvement (IHI) introduced the Triple Aim framework, which has served to ignite the realization that quality of care (done right) will not only improve patient experience, but also leads to improvements in overall population health and potential to reduce health care costs. The Triple Aim framework also served to highlight the unintended consequences of cost-cutting without an understanding of potential to put quality at risk. The IHI model represented the idea that evaluation of population health management programs and services should not simply look at cost drivers at the population level but must also take into consideration the drivers of individual level quality and outcomes. This article offers some perspective and suggestions for how to accomplish this.

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Case Study – Leveraging Operational Data and Process Analytics for Efficient Delivery – March 2023

This case study outlines how to re-design a complex, high risk, end-to-end claims appeals intake to improve outcomes. The recommended re-design included metrics around timeliness and productivity, and Standard Operating Procedures (SOPs) to achieve a more streamlined and simplified organization and sustainable, improved performance. This goal was achieved through leveraging operational data and process analytics aimed at improving the effectiveness and efficiency of the medical claims appeals lifecycle.

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Analytics for Population Health Management, Introduction to Series – January 2023

Maturing Analytics for Population Health Management

This is the first in a series of articles that will introduce an analytic capability and framework for translating health care data into actionable insights for population health management. Many healthcare organizations struggle to transform available data into viable solutions that improve patient care, while lowering cost of care at the same time. However, the growing emphasis on value-based healthcare has created the imperative for maturing analytics and unlocking insights needed to effectively manage population health and improve individual patient outcomes.

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Primed Analytics Platform™ – November 2022

Primed Platform Supports Advanced Analytics Expectations of health care analytics platforms have evolved considerably over the past several years. While this is true for well-established organizations, startups also need to come to the table with a matured analytic capability out of the gate to compete in today’s fast moving and ever-changing business environment. Read More

Primed Analytics Platform – October, 2022

Evolving Health Care with Advanced Analytics Platforms

Expectations of health care analytics platforms have evolved considerably over the past several years for both start-ups and mature organizations. There is a growing need to accelerate the speed at which data is ready and available for business case development. Today’s fast moving, competitive environment calls for the ability to launch new initiatives quickly and be prepared to react proactively to rapidly changing market conditions.

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Achieving Health Equity – August 2022

Achieving Health Equity – The focus has shifted to health payers and providers for solutions

U.S. public policy emphasis on Health Equity has been building for years. However, the COVID-19 pandemic and associated calls to action have now shifted attention to all parts of the health care system for potential solutions. The pandemic had a significant impact on the U.S. health and human services landscape, and inequities within the health care system propelled to the spotlight.

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Lack of diversity in clinical trials isn’t just a recruiting problem—it’s a data problem

Leveraging the right data infrastructure and analytics can greatly improve healthcare processes. For example, though clinical trials have several obstacles to overcoming a lack of diversity, modernizing the data infrastructure and analytics is one of the most impactful improvements for such aspects as identifying the right patients to recruit. Modernizing also accommodates other improvements, such as:

  • Identification of health inequity
  • Root causes of disparity

As clinical trials are required to improve and pivot, so too is the way of wrangling the underlying diverse data streams and managing that data to present insights for better decision making in that recruitment process. DataWELL’s analytics and data platform are built for just that purpose, to support healthcare companies’ needs of:

  • Speed of development
  • Data management
  • Leveraging one source of truth
  • Timely data insights

“To achieve diversity goals in research requires a multifaceted approach that makes clinical trial participation easier and uses analytics to help identify the right patients to recruit for a clinical trial.”  – Raj Indupuri (via

Open Website Article

(Links to a site external to DataWELL Informatics)

ANALYTIC INSIGHTS SERIES – Advancing Health Equity – May 2022

The WELL’s Analytic Insights Series provides generalizable knowledge derived from our analysis of acquired health care datasets, such as the CMS Medicare Data Set. The Insight Series represents the types of analyses we undertake in support of our clients and their business needs.

Our multi-disciplinary clinical, analytic, and technical team with a well-entrenched expertise in health care is uniquely equipped to zero in on fresh points of view. These viewpoints guide new directions in population health management at a variety of levels, such as health policy, product and business development, and improving clinical outcomes.

Advancing Health Equity

Open Publication

ANALYTIC INSIGHT SERIES – Next Level Care – April 2022

The WELL’s Analytic Insights Series provides generalizable knowledge derived from our analysis of acquired health care datasets, such as the CMS Medicare Data Set. The Insight Series represents the types of analyses we undertake in support of our clients and their business needs.

Our multi-disciplinary clinical, analytic, and technical team with a well-entrenched expertise in health care is uniquely equipped to zero in on fresh points of view. These viewpoints guide new directions in population health management at a variety of levels, such as health policy, product and business development, and improving clinical outcomes.


Telehealth after COVID

Open Publication

DERIVING VALUE: Planning for Payer Health Data

Healthcare’s continued transformation is driving further focus on utilizing a patient-centric approach. This approach requires a complete understanding of patient behaviors, needs, preferences, and outcomes. Payer health data is invaluable to unlocking essential insights into these patient aspects.

As you prepare initiatives using health payer data, several practical realities can stretch resources and timeframes beyond the initial plan. Having an awareness of the possible pitfalls will assists with setting more realistic expectations and may make a compelling case for seeking consultative services from experts with a solid track record in navigating these pitfalls

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WEBINAR: DataWELL CEO, Rebecca Noreen Joins Panel to Discuss Virtual Care

Health insurance organizations are tasked with one of the greatest challenges of our era, ensuring the availability of quality, timely, cost-effective healthcare. With the experience of using virtual care during the pandemic, health plans are taking a fresh look at the efficiency, effectiveness, and accessibility of virtual care and seeing innovative uses, increased value and demand from patients and providers.

New reimbursement opportunities are paving the way for the future of virtual care.

This town hall panel discussion looks at how health insurance plans are using innovative technologies to assist in assuring coverage for their members while advancing workforce productivity.

Available On Demand

CASE STUDY: Improving Patient Care Outcomes

Improving Patient Care Outcomes via combination of data sharing, provider relationship building, interactive peer level discussion, and clinical leadership training.

The Well partnered with a leading specialty clinical network to help improve patient outcomes through a combination of health care provider relationship building, improved data reporting, interactive education and discussion sessions, and clinical leadership training. The Well’s work paved the way for an expanded peer-to-peer clinical community for communicating best practices, fostering mutual trust, and sharing values. Providers including local clinic directors unanimously agreed that this approach had a positive impact on the practices, leading to improved outcomes.

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Building Scalability: Part 3 – Technology

Timely and well-informed investments in new technology solutions are essential as drivers of performance and productivity, especially in the face of new business ventures and efforts to scale for associated growth. This is particularly true in the health care arena, where technology advancements are often the catalyst for shifting market opportunities – whether related to advancements in health care delivery, integration of new data sources, and/or proliferation of digital “wearable” home monitoring devices (Internet of Things). For example, the data that gets generated and stored from home monitoring devices such as glucose and blood pressure digital readers is available to be uploaded to electronic medical records and other databases for further analysis. However, this requires an infrastructure that supports integration from multiple sources.

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Building Scalability: Part 2 – Process

The Healthcare industry is filled with opportunity, with many organizations having the ideal problem of growing too quickly. We are frequently asked by our clients to conduct scalability assessments and suggest prioritized roadmaps supporting rapid growth agendas. As part of that work, we have found several common themes along with some unique considerations relative to growth generated via innovation (“new and different”) versus market and business expansion with current offerings (“bigger and better”).

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Building Scalability: Part 1 – People

Health care organizations today need to factor scalability attributes into their business model(s) to stay abreast of a rapidly changing competitive environment, or risk being left behind. For a business to be scalable, it must focus on improving the profitability and efficiency of services even when its workload increases. However, establishing this capability does not occur in a vacuum and involves a complex set of considerations and analysis.

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Identifying Seniors for Supplemental Benefits – Across the Health and Disease Continuum

COVID-19 pandemic has greatly exposed the critical importance of addressing the health-related social needs of vulnerable populations, especially older adults with complex medical conditions. Historically, single condition management programs have focused on one chronic disease, often missing opportunities to support other health care needs or interventions for primary prevention and health promotion. This represents a missed opportunity to engage Seniors in their own health and wellness activities by using additional benefits for services with greater impact on their overall health and conditions.

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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.

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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.

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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.

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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.

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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).

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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.

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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.

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