9-Point Fragmented Patient Data Checklist for Healthcare Leaders

Check Data Sources and System Connectivity

Identify where patient information is stored across EHRs, laboratory systems, imaging platforms, spreadsheets, billing applications, and other tools. Check whether these systems exchange information automatically or require staff to manually transfer data. Improving connectivity can reduce duplicate entry and support more efficient information flow.

Check Data Quality and Manual Workflows

Review patient records for duplicate information, missing fields, inconsistent formats, and outdated data. At the same time, identify repetitive tasks such as copying records, verifying information, and preparing reports manually. Standardization and automation can help target 25–40% fewer manual data-handling tasks in suitable workflows.

Check Performance, Governance, and Automation Opportunities

Measure patient information retrieval time, data errors, duplicate records, reporting rework, and administrative hours spent managing fragmented information. Establish clear ownership, access rules, validation processes, and data-quality standards. Improving these areas can support a target of 15–30% faster access to patient information while creating a stronger foundation for healthcare automation.