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Unlock the true potential of your data

Data is complicated—but using it shouldn’t be

Data Science Factory is always generating new components and services to help you automate workflows,
detect anomalies, assess risk, anticipate trends, and close care gaps.

Self-service, easy-access analytics library

Open architecture with specialized micro-services

Population-level insights based on aggregate data

Partnership opportunities for clients with specific needs

Dynamic trend analyses and predictive forecasting tools

Solutions that fit like a glove

Once all your population data is ingested and cleaned, our data scientists will work with you to create AI and machine learning (ML) enabled solutions that perfectly fit your unique needs and team goals.

With a microservices-based architecture, we have the depth and flexibility necessary to curate models that are both effective and simple to use—optimizing user experience and accelerating your response time.cw

Discovery

We collaborate with clients to understand their business problems, define key success metrics, and develop strategies to achieve those metrics.

Data sourcing

We utilize a data fabric that allows clients to provide any data source and type. Specifically, we use pre-processed data from MedeAnalytics, which undergoes a rigorous QA process.

Data science semantic layer

We have created over 50 key metrics (e.g., allowed PMPM, chronic conditions, denial rates, re-admissions) for clients to use in data science models. This layer, developed with extensive SME and data science expertise, includes a data dictionary for easy understanding.


Model development and automation

Using the data science semantic layer, we employ the latest ML/AI models (e.g., xgboost, keras, tensorflow) and prototype LLMs for forecasting and GenBI. Our tools automate the modeling process and QA (e.g., data validation, data/model drift).

Product library

We offer a wide range of products, including ER forecasting, clinician outlier detection, and specialized tools like the provider index.

Visualization

Our data science products can be displayed in various formats, including MedeWorks, Tableau, and PowerBI. 

How to use Data Science Factory

Differentiate from your peers with guided analyses

Natural language generation capabilities make it easier than ever to really listen to your data
Early detection of unusual patterns in vast amounts of data keeps you one step ahead of system inefficiencies and potential health crises
Machine learning models compare providers fairly across key metrics and help you target realistic improvement goals
Robust statistical methods adjust for inherent risks and biases to give you a clear, accurate evaluation of physician performance
Visibility into activity between PEPPER reports helps you track the impact and assess outcomes of change initiatives
Using advanced machine learning techniques,we can help hospitals better understand and predict its denial probability, likelihood of positive re-adjudication, and expected time to payment. This predictive capability helps organizations better manage cash flow and optimize financial operations
Robust detection algorithms sift through member/patient data and operational metrics for atypical transactions, providing the information you need to remediate errors and prevent financial misconduct

Forecast needs and outcomes with predictive analytics

Analytical rules account for seasonal variation and standard anomalies, enhancing the accuracy of your claims analysis and financial expectations
A sophisticated forecasting model helps you anticipate patient utilization trends and prepare more effectively for fluctuating patient flow
Specialized pattern recognition and prediction capabilities enable you to understand and anticipate critical trends in prescription claims and patient safety
Precise risk assessments offer insight into likely readmissions, guiding you to implement targeted interventions and improve care outcomes
We use deep learning AI models with claims data to identify patients who may be missing diagnoses/HCCs to support patient care and outreach strategies
The HCC Grouper assigns codes to patient diagnoses and groups individuals based on severity and complexity, aiding you in forecasting needs, adjusting resource allocation, and managing costs effectively
Population risk stratification enables segmentation based on risk algorithms, predicated on Johns Hopkins Adjusted Clinical Groups (ACGs) to predict patient health and cost over time

How to introduce Data Science Factory to your team

Data Science into your Organization part 3

Crawl: Bringing Data Science into your Organization

By Editorial Team

Throughout my career as a data scientist, I’ve been lucky enough to have a few opportunities to build data science teams, processes, and models from the ground up. Introducing data science into your organization can feel overwhelming, so I’ve put together some recommendations to help you along the way. While it’s incredibly tempting to jump…

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Data Science into your Organization part 2

Walk: Bringing Data Science into your Organization

By Editorial Team

In this three-part series, we’re exploring a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl, we discussed how to get started from scratch. Today in Part Two: Walk, we’ll address issues that may emerge and how to overcome them, how to build out a dedicated data science team, and more.

Keep reading
Data Science into your Organization

Run: Bringing Data Science into your Organization

By Editorial Team

In this three-part series, we’ve been detailing a tiered approach to introducing and incorporating data science into your organization. In Part One: Crawl and Part Two: Walk, we discussed how to get started from scratch and start building out a dedicated data science program. Today, we’ll dive into the third and final phase to see how to grow quality, centralize governance, incorporate user feedback, and more.

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Explore more

Watch our conversation exploring how explainable artificial intelligence (xAI) can help your organization turn massive, complex data sets into straightforward, strategic action steps.

Watch the playback, and start expertly navigating the journey towards a value-driven healthcare future.

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