Emerging Issues and Opportunities in Health Information Technology

Area of Science:

• Health Informatics
• Oncology
• Health Services Research

Background:

• Health Information Technology (HIT) is increasingly vital for transforming clinical care and advancing research.
• Despite widespread adoption of electronic health records, significant challenges persist in HIT's optimal use, interoperability, and data sharing.
• Limited data standardization and unstructured data from scanned documents impede quality measure reporting and reimbursement.

Purpose of the Study:

• To address challenges, issues, and opportunities in Health Information Technology (HIT) specifically within the context of cancer care.
• To explore the role of HIT in advancing precision medicine and supporting national health initiatives like the National Cancer Moonshot.
• To identify strategies for leveraging HIT to improve the quality of clinical care and the patient-provider relationship.

Main Methods:

• Convened the National Comprehensive Cancer Network (NCCN) Emerging Issues and Opportunities in Health Information Technology Policy Summit in June 2016.
• Facilitated discussions through keynote presentations and panelist sessions.
• Focused on key themes including moving beyond Meaningful Use, HIT readiness for quality reporting, and HIT's role in precision medicine and cancer initiatives.

Main Results:

• Identified critical barriers to effective HIT implementation, including lack of data standardization and interoperability.
• Highlighted the recognized impact of HIT on cancer care by major policies and initiatives such as the HITECH Act and the National Cancer Moonshot.
• Underscored the need for efficient HIT systems capable of seamless information exchange and point-of-care data analysis.

Conclusions:

• Effective Health Information Technology (HIT) is crucial for enhancing cancer care delivery and research.
• Overcoming challenges in data standardization and interoperability is essential for realizing HIT's full potential.
• HIT systems must be optimized to support quality reporting, precision medicine, and improved patient-provider interactions in oncology.