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Data mining establishes
actionable strategic direction for your
medical device and/or drug
SERVICES | Data mining
S2 Statistical Solutions' data mining approach establishes the strategic direction for medical device, diagnostics, and pharmaceutical companies to plan analyses for outcomes research studies, epidemiological studies, and benchmarking.
S2 Statistical Solutions meets this requirement by conducting
research of real-world data retrospectively to investigate the clinical care pathway of patients.
We apply data mining methodologies to large-scale operational, administrative,
and Electronic Medical Record (EMR) databases to:
- Study disease incidence, prevalence and progression
- Generate high quality clinical outcomes information
- Investigate medical practice
- Identify unmet needs
- Study device usage
ROI | Return On Information
S2 Statistical Solutions closed-loop process and precise approach provide the framework and foundation to confidently set a "go-forward"
publication/communication strategy to support your organization.
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Data mining is an iterative process of selecting, exploring, and modeling
large amounts of transactional (administrative) and operational (EMR) data
for knowledge discovery.
Who is represented in the data?
Presence of patients within a disease-setting.
What is represented in the data?
Types of information available:
- Intervention/diagnostic
- Utilization
- Patient-reported outcomes
- Non-patient-reported outcomes
- Cost
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