Delivering top-tier analytical and research solutions that truly make a difference in the healthcare landscape

The success of our clients reflects our belief that:

  • Partnerships are built on mutual commitment and a common vision
  • The right approach can transform data into knowledge
  • The best decisions are born from the fusion of data-driven insights, operational experience and domain-specific expertise
  • AI should be used to support and enhance clinical judgement, not replace it
  • Predictive models only improve outcomes when operationalized through thoughtful integration into clinical workflow

Providing Analytics Solutions Tailored to Your Business Needs

Hospital and Health Systems

Partnering to optimize care delivery and population health, improving quality, safety and efficiency across the health system.

Hospital and Health Systems

We tailor our approach to individual facility needs in light of each organization’s operating priorities, available resources, and existing capabilities. Our team brings deep expertise to generate insights that can be tied back to pragmatic actions at the operational level; helping organizations risk-stratify patient populations, identify drivers of outcomes, determine intervention opportunities and efficiently monitor performance.
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Health Plans

Supporting safe and effective patient management across the care continuum.

Health Plans

We help identify and manage risk factors and transitions at each stage of the patient journey to drive more effective treatment. Our goal is to bring actionable insights to reduce escalations in care when they can be avoided and accelerate them when they are needed. Value based care means achieving patient-centric population management and effectively addressing care needs pro-actively, not re-actively.
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Ambulatory & Post Acute Care

Addressing clinical and operational challenges in a growing non-acute market.

Ambulatory & Post Acute Care

Providers are being challenged to serve the growing demand of outpatient management with existing resources. We leverage data analytics to identify opportunities for improved efficiency and proactive management to help address these challenges and augment the clinical and operational decisions that impact both the well-being of patients and success and satisfaction of providers.
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Life Sciences

Providing the evidence needed to support a compelling value proposition across the product life-cycle.

Life Sciences

A growing emphasis on health economic and outcomes research (HEOR) to assess the economic and clinical value of clinical interventions has driven the demand for real-world evidence (RWE) to help stakeholders make informed decisions about product value and reimbursement. Learn how our experienced team can assist you with your evidence generation strategy and to support your RWE needs across the product life cycle.
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Client Testimonials

News & Events

Joseph Beals, PhD, MBA, FAMIA

Joe is an accomplished healthcare executive with a track-record of bringing innovative technologies to market and helping client organizations develop and execute digital health strategies. A common thread throughout his career is a passion for translational data science – the “bench to bedside” operationalization of evidence-based insights and data driven technologies.

Joe has extensive experience in health informatics research, including predictive model development, clinical trial design, and process and outcomes improvement. He has published widely and received research awards from the American Medical Informatics Association, the Society of Critical Care Medicine, and the Journal of Biomedical Informatics. He worked closely with the FDA on one of the first real-world evidence supported regulatory clearances for AI/ML software used in predicting patient deterioration. Joe has led US and European federal grant projects, most recently as co-principal investigator on a contract from the US Department of Health and Human Services Biomedical Advanced Research and Development Authority to develop and deploy an Emergency Department triage tool.

In a prior role as CEO of PeraHealth, Joe expanded the company’s focus to encompass health care delivery challenges across the care continuum, including in sub-acute and home health environments and he oversaw the transformation of the company’s analytics service offerings in these areas. Following the acquisition of PeraHealth by Spacelabs Healthcare, Joe led Spacelab’s data science and analytics strategy, spear-heading the company’s digital health and analytics roadmap. Joe is a long-time proponent of the concept of augmented intelligence in healthcare – the operationalization of innovative AI/ML technologies which can both enhance the effectiveness and improve the experience of clinical care providers.

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Kathy W. Belk

Kathy is a clinical informaticist, data scientist and healthcare technologist with over 25 years of experience conducting healthcare research and performance improvement initiatives.

She has a passion to transform healthcare through data-driven care redesign and a diverse background enabling her to balance innovative strategy with rigorous scientific methodologies to create fit-for-purpose solutions.
She has extensive experience leading data-driven projects for pharmaceutical, biotech, medical device companies, health service providers as well as specialty societies and government agencies. Her work includes both traditional and innovative study designs across a wide range of topics and clinical areas and has resulted in more than 100 peer-reviewed publications and/or presentations in scientific journals and conferences.

Kathy has extensive data collection and linkage experience across many types of healthcare datasets including two used by the U.S. Food and Drug Administration, for which she was a subject matter expert. In a prior role with Premier, Inc., she served as data expert and lead scientist for an innovative pay-for-performance demonstration project with the Centers for Medicare & Medicaid Services. More recently she has led a range of data science, analytics and clinical technology initiatives for effective development and deployment of clinical decision support technology.