Analytics

Empowering Healthcare with Data-Driven Insights

Our Analytics team’s mission is to harness the power of data to improve healthcare at every level. By turning raw data into meaningful insights, we provide healthcare professionals with the knowledge they need to enhance patient care, optimize treatments, and contribute to broader public health goals. The insights generated by our analytics team enable smarter, faster decision-making, supporting a healthcare system that is proactive, evidence-based, and centered on better health outcomes.

Advanced Statistical Analysis

Our team applies a wide range of statistical techniques to draw meaningful conclusions from complex datasets. These analyses help researchers understand relationships between variables and make data-driven conclusions.

Advanced statistical methods

The Analytics team uses advanced statistical methods to analyze treatment outcomes, care patterns, trends over time, availability of data, among other types of analyses. We cover advanced statistical methods including non-parametric statistics, structural equation modeling, factor analyses, and time series analysis, along with many other advanced methods.

Reports

We produce reports for clients that synthesize our analysis results and provide insights into what the data are saying. We can take a project from conception to completion, providing insights and useful information along the way for any client.

In-house proprietary database (DIPPR)

Using our in-house proprietary database (DIPPR), the Analytics team can provide insights into a variety of ailments using EHR data. The Analytics team is experienced in the use of EHR data and analysis of it.

 

Predictive Analytics and Machine Learning

Machine Learning Libraries and Frameworks: Using libraries like TensorFlow, SageMaker, and PyTorch, we develop predictive models tailored to healthcare scenarios. These tools enable us to analyze large datasets and generate predictions that add real value to patient care.
Predictive Analytics
Predictive models also play a critical role in population health management, allowing healthcare organizations to proactively address health risks and allocate resources more effectively. By enabling early intervention, our analytics work contributes to better patient outcomes and more efficient healthcare systems.
Machine Learning Libraries and Frameworks
Using sophisticated machine learning algorithms, the Analytics team creates predictive models that help identify at-risk patients, anticipate disease progression, and optimize treatment plans. For instance, by analyzing patterns in patient data, we can forecast outcomes such as readmission risks, potential adverse events, and responses to specific treatments.

Predictive Analytics and Machine Learning

Machine Learning Libraries and Frameworks: Using libraries like TensorFlow, SageMaker, and PyTorch, we develop predictive models tailored to healthcare scenarios. These tools enable us to analyze large datasets and generate predictions that add real value to patient care.

Data Quality and Integrity

  • The foundation of accurate analytics is high-quality data. Our team is committed to ensuring that all data is thoroughly validated, cleaned, and standardized. This involves a continuous process of monitoring data integrity, identifying and addressing inconsistencies, and enhancing data accuracy through advanced cleansing techniques.
  • We work closely with our ETL and Tech teams to establish rigorous data governance protocols, ensuring that the information we analyze is reliable and robust. By maintaining high standards of data quality, we ensure that our insights are accurate and meaningful, leading to trustworthy findings.

Customized Analytics Solutions

  • Recognizing that every organization has unique data needs, the Analytics team provides tailored analytics solutions for our partners. This could involve specialized reports for regulatory compliance or detailed studies for specific research initiatives.
  • Our team collaborates closely with stakeholders to understand their goals and deliver analytics that address their most pressing challenges. By offering personalized insights and tools, we empower healthcare organizations to optimize their operations and achieve their strategic objectives.

Want to learn more about our analytics solutions?

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