Primary Care Consulting

Workflow Optimization and Team-Based Care

Inefficient practice workflows contribute significantly to physician burnout and suboptimal patient care. Our time-motion studies and workflow analyses have helped practices reduce patient wait times by 40% while increasing physician face-to-face time by 15 minutes per encounter. We specialize in implementing team-based care models that leverage the full scope of each provider’s license, resulting in 20-30% improvements in patient panel capacity without compromising quality.

• The Evidence-Based Impact of Our Approach

The effectiveness of our primary care consulting model is supported by both local and national data. In New Jersey, where 38% of adults have two or more chronic conditions, our chronic disease management protocols have helped partner clinics achieve:

• 35% reduction in avoidable hospitalizations for chronic conditions
• 28% improvement in medication adherence rates
• 18% increase in annual wellness visits among high-risk populations

 Our consulting services help practices capture these benefits while maintaining financial viability during the transition period.

A Tailored Approach for New Jersey’s Unique Needs

New Jersey’s healthcare landscape presents distinct challenges that inform our consulting approach. With:

• The highest population density of any U.S. state
• Significant socioeconomic disparities between urban and suburban areas
• A rapidly aging population (projected to grow 25% by 2030)
• Persistent racial disparities in health outcomes

By investing in primary care transformation today, healthcare organizations can achieve the triple aim of better health outcomes, improved patient experiences, and lower per capita costs – while building a more equitable healthcare system for all New Jersey residents.

Our primary care consulting services are specifically designed to address these New Jersey-specific factors. We incorporate local health data, community resources, and state policy initiatives into every engagement, ensuring our recommendations are both evidence-based and contextually appropriate.