Clinical Scorecard: Value-based Healthcare: How Do We Get There?

At a Glance

Key Highlights

• Pathologists must engage in healthcare program design and understand payment models.
• Laboratory medicine professionals are shifting towards proactive roles in patient care.
• Reducing time to diagnosis must trigger clinical protocols for value creation.
• Closed-loop systems ensure laboratory results drive clinical action.
• Machine learning enhances predictive care management in laboratory settings.

Guideline-Based Recommendations

Diagnosis

• Implement diagnostic optimization to trigger clinical protocols.

Management

• Utilize machine learning for predictive analytics in laboratory testing.

Monitoring & Follow-up

• Establish feedback loops from electronic health records to track clinical actions.

Risks

• Failure to integrate laboratory results into clinical decision-making can lead to missed opportunities for patient care.

Patient & Prescribing Data

Patients requiring laboratory testing and diagnostics, including those with rare diseases.

Integration of laboratory results with molecular and genomic data can guide treatment decisions.

Clinical Best Practices

• Encourage pathologists to participate actively in healthcare delivery discussions.
• Develop systems that ensure laboratory results are acted upon promptly.
• Leverage advanced analytics to enhance patient care at both individual and population levels.

References