Healthcare has traditionally relied on claims and electronic health records; however, the real potential lies in the use of diagnostic data that bridges insights and action. By integrating diagnostic, behavioral, and clinical data, we are laying the groundwork for a future where care is proactive, patient-centered, and driven by clean, interoperable data. Here, Dr. Schulz emphasizes that effective governance and data integrity are essential for fostering innovation, ensuring that analytics and AI enhance care rather than overwhelm clinicians.
In a discussion with Sharesse Maynard during Before HLTH Talks: Voices of Change, Dr. Julie Schulz, MD, MPH, highlights how clean and contextualized diagnostic data builds clinical credibility, improves coordination among specialties, and promotes more equitable and efficient care. She notes that the responsible use of AI can help uncover disparities and identify at-risk patients earlier, paving the way for more effective health management. Dr. Schulz envisions that by HLTH 2025, diagnostic intelligence will shift from theory to everyday practice, making data-driven care the standard.
Read the full article at Before HLTH Talks: Voices of Change.
