Your Critical Data Transformation Journey Results: Explorer
Explorer Overview
As an Explorer, your organization is in the early stages of Critical Data Transformation. This means you are likely identifying data sources and assessing your ability to utilize the information locked within them while ensuring compliance. Right now, sensitive data likely remains underutilized due to security concerns and manual workflows.
Key insight: 80% of data collected in healthcare is unstructured, yet only 23% of organizations utilize it effectively. (Source: dhinsights.org)
Explorer - Results by section
Current Data Practices
Insight:
Most Explorers rely on manual data handling and lack centralized Critical Data Transformation workflows.
Benchmark:
60% of healthcare organizations report challenges accessing unstructured data.
De-Identification Readiness:
Insight:
De-identification is primarily manual or non-existent, creating compliance risks and limiting data usability.
Benchmark:
46% of healthcare leaders cite data compliance as a top barrier to data transformation. (Source: Hakkoda)
Future Data Goals and Impact
Insight:
Explorers aim to improve access to critical data and start de-identification initiatives within the next 12–24 months.
Explorer's Roadmap: Discover
Your next step is to Discover where your sensitive data resides and assess its transformation potential.
Recommended actions:
Identify critical data types (e.g., physician notes, imaging, research documents).
Begin centralizing data to reduce silos and enable secure collaboration.
Evaluate de-identification needs and automation opportunities to accelerate transformation.
Explorer's Benchmarking
How You Compare to Peers:
Only 20% of Explorers have started automating data workflows.
Industry leaders report a 124% ROI on modernized Critical Data Transformation solutions. (Source: Hakkoda)
Explorer's ROI Mapping
Unlocking critical data at the Explorer stage can:
Reduce manual processing costs by up to 50%.
Increase operational efficiency, saving ~$120,000/year for mid-sized healthcare organizations. (Source: veryfi.com)
Curious about what your results mean for your data strategy?
Get specific insights from our team!
Contact Us
Your data transformation journey starts here.