Health Plans & Accountable Care Organizations

Pro-actively identify and manage risk factors at each stage in the patient journey. Improve patient placement and more effective treatment in place. 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.

Sample Solutions

Risk Stratification

Identify High-Risk Individuals: Identify individuals at a higher risk of developing chronic conditions or experiencing costly medical events to proactively target interventions and allocate resources more effectively

Predictive Modeling

Anticipate Future Healthcare Needs: Forecast future healthcare needs based on historical data to anticipate resource requirements, plan interventions, and strategically allocate resources.

Patient Centered Proactive Care

Tailored Care Plans: Leverage data to create personalized care plans based on individual patient needs. This patient-centered approach can improve outcomes and patient satisfaction.

Support Proactive Intervention: Analyze historical patient data to identify specific populations that may benefit from interventions, such as chronic disease management or wellness programs.

Improve Utilization

Identify Patterns and Trends:  Analyze healthcare utilization patterns to better understand where and how resources are being utilized to optimize care delivery, identify areas of overuse or underuse, and improve resource allocation.

Network Management

Optimize Network Performance: Evaluate performance of healthcare providers within care networks including assessing outcomes, cost-effectiveness, and patient satisfaction to ensure the delivery of high-quality care.

Population Health Dashboards

Visualize Key Metrics: Implement population health dashboards to visualize key metrics and trends easily and facilitate quick decision-making.

Monitor and Improve Performance: Track performance on key measures including tracking adherence to clinical guidelines, preventive care measures, and overall healthcare outcomes.

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

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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.