Forge Enterprise
Need a tailored patient data & trial recruitment solution to fit within your hospital or healthcare systems’ network?
Platform Features
Candidate Identification
Search structured & unstructured data to match patients to study inclusion and exclusion criteria.
Population Analysis
Take a deep dive into the demographics of any patient cohort connected through your EMR.
Feasibility Analysis
Project study enrollment for your patient population using advanced simulation-based methods.
Recruitment Tracking
Streamline your recruitment workflow with patient match review, triage, and approval queues.
CTMS Integration
Push interested study candidates directly into your CTMS with a click of a button.
Advanced Document Search
Search text residing within patient EMR documents to find more qualified candidates.
Cross Domain Data Fusion
Custom data engineering to fuse data across disparate sources of patient data.
Custom Dashboards
Patient-centric dashboards unique to your organization's regular analysis questions.
Patient-Centric APIs
Direct access to standardized patient data to utilize for your offline analysis and digital transformation initiatives.
Flexible Hosting Options
On-premises or hybrid cloud hosting to fit within your security requirements.
Flexible Hosting Options
Cross-Domain Data Fusion
Machine Learning
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Increase the Return on Your Data and Analytics Investments
Aspen Forge Enterprise eliminates tedious and non-value-added tasks from analytics and data science workflows, leading to reduced time to insights and increased effciency.
Traditional Data Warehouse
| Task | Hours | Iterations | Total Hours |
|---|---|---|---|
|
Data Mapping |
5 |
1 |
5 |
|
Query Building |
3 |
3 |
9 |
|
Query Execution |
4 |
12 |
48 |
|
Fusing Results |
4 |
3 |
12 |
|
Data Science |
10 |
4 |
40 |
|
Total Work |
|
|
114 |
|
Value-Add Work |
|
|
40 |
|
Efficiency |
|
|
35% |
Forge Enterprise
| Task | Hours | Iterations | Total Hours |
|---|---|---|---|
|
Data Mapping |
|
|
|
|
Query Building |
5 |
3 |
15 |
|
Query Execution |
|
|
|
|
Fusing Results |
|
|
|
|
Data Science |
10 |
4 |
40 |
|
Total Work |
|
|
55 |
|
Value-Add Work |
|
|
40 |
|
Efficiency |
|
|
73% |