Q&A with Geneia CATO: Analytics-As-A-Service | Geneia

Q&A with Geneia CATO: Analytics-As-A-Service

June 17, 2020
Fred Rahmanian, Chief Analytics and Technology Officer


Geneia’s analytics-as-a-service team helps clients produce reports, dashboards and visualizations

Surely, by now, you’ve heard about the Geneia Data Intelligence Lab (GDI Lab).

We are Geneia’s data science research and development arm. Comprised of more than 30 dedicated data science professionals, the GDI Lab uses leading-edge data science techniques to create models that health plans, hospitals and physician practices use to better predict risk, the cost of care, the likelihood of adverse events and outcomes. We are particularly focused on creating models to improve the care and costs for people with chronic illness. To learn more about the lab, click here.

The creation of the lab has given rise to Geneia’s analytics-as-a-service. To help our blog readers better understand our offering, here are some of the questions I’ve been asked along with the answers.

What is analytics-as-a-service?

Clients often require a flexible, customizable, yet guided approach to producing analytic insights. Our focused analytics-as-a-service team helps clients produce reports, dashboards and visualizations, without heavy upfront investment or extensive staff augmentation.

Though we can offer a more self-service model for clients who wish to dig into the data within their own teams, we also understand the value of time to analyst and leadership teams at healthcare organizations; for this reason, Geneia provides analytics-as-a-service offerings in a consumable, off-the-shelf format that highlights key trends and opportunities.

We have assisted clients in analytics-as-a-service engagements centered on quality, care management and contract-specific analytics, helping them align cost, quality, engagement and health outcomes across their various initiatives.

What’s one example of how a health plan is able to use the analytics-as-a-service offering?

As we wrote in the white paper, How a Phased Approach to Value-Based Care Works, a state-wide health plan with more than two million members and tens of thousands of physicians in the network was looking to support independent physicians in value-based care. The solution consisted of four phases, starting with analytics-as-a-service.

The analytics-as-a-service phase included three deliverables:

  • Create a data science strategy for integrating and aligning clinical and claims data to support member risk stratification
  • Document transparency and interpretability of existing models and rigor testing
  • Deploy models at the organizational level that predict 30-day readmissions, high-cost claimants and complications from type 2 diabetes and heart failure.

Can you share another example of a Geneia’s analytics-as-a-service?

For one client that wanted a mix of out-of-the-box analytics and the ability to create and use their own analytics, we proposed an AWS cloud-based solution that offered scalability and flexibility (see below for additional information about Geneia’s relationship with Amazon.)

On the front end, we proposed the Theon® Platform for Analytics & Reporting because its existing framework meant Geneia could quickly implement and deliver reports, dashboards, and visualizations, and preserve the ability for the organization to manipulate its own data and design ad-hoc reports and leverage existing and preferred tools.

Major parts of our solution were:

1.  A data hub platform. This data lake with near infinite storage capacity can store data in their native format. This includes but is not limited to CSV, JSON, X12, or HL7 FHIR. Data in the data lake can be accessed and queried using standard SQL.

2.  An analytic data platform. This platform hosts all data warehouses that typically house the information extracted from the data in the data lake.

3.  Front end-user tools. We proposed the Theon® Platform for Analytics & Reporting (Theon® Analytics & Reporting) to help the client and its stakeholders increase the time to value. With key dashboards, visualizations and reports available out-of-the-box, the healthcare organization was able to focus on critical requirements to succeed in value-based care without spending time manipulating data or waiting for time-consuming custom report production.

4.  Deeper dive by analytics experts. Geneia’s analytics-as-a-service team works with the client to help them understand their biggest cost drivers and remediable problems as well as how to use data to mitigate them.

Are there additional advantages to using Theon® Analytics & Reporting?

Yes. The advantages include:

  • Speed and low cost, increasing time to value
  • Ease of developing new custom reports and dashboards
  • Interactive dashboards and reports that encourage engagement and data exploration
  • Customer-centric data visualizations to provide key insights
  • Single and multi-select data filtering to quickly narrow in on where to take action
  • Drill-down reporting to provide granularity and a more comprehensive understanding of client data
  • Alerts powered by AI that reveal changes to KPIs
  • Ability to export entire dashboards or key components to a variety of formats, including, but not limited to Excel, CSV, PDF and image formats.

Does Geneia have out-of-the-box analytics?

Yes. Our out-of-the-box analytics are how the output from Geneia’s deep data models becomes understandable and actionable by health plan, hospital and physician practice clients.

Through Geneia’s Theon® Platform, we have population and patient-level views and drill-throughs:

Quality

  • National measures (HEDIS®, NCQA, MACRA/MIPS)
  • Custom measure development
  • Configurable goals and measure-level weighting

Cost and Utilization

  • Cost and use comparisons across providers, sites of care and geographical regions
  • Risk adjusted, clinical prevalence, avoidable events, network leakage

Benchmarking

  • Cost, use, and quality
  • NCQA quality benchmarks (national and regional)

Care Management Support

  • Analytics embedded directly in the clinical workflow
  • Push gaps in care directly to clinical workflow and/or the care plan

Population and Patient Reporting

  • Population reporting (i.e., patients not seen by PCP in 12 months)
  • Patient reporting (i.e., cost & utilization, predictions and risk)

Risk Stratification

  • Improve risk adjustment through missing and suspect HCC detection
  • Patient-level trended retrospective prospective risk
  • Population-level financial risk adjustment

User Interface and Security

  • Full drill-through capabilities
  • Complete role-based security and workflows
  • Sensitive condition masking

Are there additional analytics models available?

Yes.

Targeted research to solve acute needs

What is Geneia’s relationship with Amazon?

Geneia is an official Amazon partner, with a team of certified experts who build and support data analytics solutions on the Amazon Web Services (AWS) platform. We are leaders in healthcare analytics, and help our clients maximize the benefit of a cloud-based infrastructure. Geneia’s Theon® platform was the first healthcare-specific analytic and insight solution based on AWS.

To read more about Geneia’s relationship with AWS, visit: https://aws.amazon.com/solutions/case-studies/geneia-case-study/.

For analytics-as-a-service customers, what are the advantages of the AWS cloud?

  • HIPAA-enabled environment
  • Support for the integration of multiple types of data from multiple sources to drive deeper and more helpful insights
  • Price-competitive and price-predictable data storage for ease of ownership
  • Scalability – the elasticity of AWS storage and compute engine means data and compute capacity expand and contract to meet changing needs with virtually no limits
  • Accelerated provisioning enables fast, but sensible, implementation
  • Ability to monitor and control cost
  • Automation to lower total cost of ownership
  • Focus on design, deployment and architecture to support machine learning and artificial intelligence without having to worry about the underlying infrastructure needs. This enables the Geneia analytics team and client data teams to work at their highest capacity while AWS does the heavy lifting of infrastructure management
  • Framework to consolidate and reduce redundant solutions
  • Vendor agnostic to enable clients to access and explore data through preferred tools

What are Geneia’s external benchmarking capabilities?

Geneia provides peer-level, regional and national benchmarks for cost, utilization and quality measures. We work with different vendors to compile and communicate benchmark data specific to client needs. Our Theon® Analytics & Reporting platform uses custom benchmark data based on the total population of the client. Any chosen segment of the client population (for example, market segment or attributed population in a study population) is compared to a “peer” or a total benchmark based on the lives in the client population.

We offer industry benchmarks for cost and utilization as well as NCQA benchmarks for HEDIS® measure performance. Benchmarks available for individual provider, care location of provider, tax ID by provider, line of business, organization.

Why are clients choosing analytics-as-a-service?

Many clients feel like it’s the best of both worlds. Using existing reports means there’s no needs for analyst or data science talent. But there’s also the opportunity for clients to develop their own reports and/or leverage the Geneia team to help with data science needs and more complex questions around the best approach to driving certain insights.

What’s one unique aspect of the Geneia Data Intelligence Lab?

We spend considerable time creating models with the lowest number of features (input variables) that can result in highest accuracy. We feel this makes our models much more interpretable and easier to deploy. Setting our models apart from similar models offered by our competitors.

For more information about the Geneia Data Intelligence Lab, click here.


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