Demonstrating Trustworthiness to Patients in Data-Driven Health Care

Area of Science:

• Health Informatics
• Digital Health
• Healthcare Policy

Background:

• Advanced digital tools, including artificial intelligence (AI) and predictive models, increasingly utilize patient data in healthcare.
• Patients often lack transparency regarding the use of their data and its impact on their care.
• This data utilization raises concerns about patient trust and engagement in the healthcare system.

Purpose of the Study:

• To explore the tensions between advanced health information technology (IT) data extraction and patient engagement.
• To identify steps for health systems to design IT policies that prioritize patient interests.
• To reframe advanced health IT by centering patient concerns and perceptions of trustworthiness.

Main Methods:

• This essay reviews current practices in health IT and patient data utilization.
• It analyzes the implications for patient trust and stakeholder engagement.
• It proposes a patient-centered framework for developing health IT policies.

Main Results:

• Current health IT systems often extract patient data without adequate patient involvement or transparency.
• This lack of engagement erodes patient trust and hinders continued participation.
• A patient-centered approach is crucial for ethical and effective implementation of advanced health IT.

Conclusions:

• Health systems must shift towards policies that center patients in the design and deployment of advanced health IT.
• Prioritizing patient concerns and trustworthiness is essential for fostering sustained engagement.
• Reframing health IT to serve patient interests can enhance the overall healthcare ecosystem.