Data Analytics

Are You Getting the Most Out of Your Healthcare Data Platform?

Traci Curran

October 13, 2022

Image of the human body digitally representing a healthcare data platform

Healthcare organizations now require insights that are only possible to gain by bringing together diverse and disparate clinical, financial, and operational data from across the organization, as well as outside it. Without access to these insights, improvements in outcomes and operational efficiencies that value-based care models promise to deliver will be harder and more costly to achieve. This is where a healthcare data analytics hub comes into play.

What is a Healthcare Data Analytics Hub?

A healthcare data analytics hub provides a unified, cloud-based platform that supports enrichment, analysis, visualization, and reporting services to both automate and act on healthcare delivery, operations, and administration activities. The goal of the hub is to create standardized, normalized data that can easily be computable and leveraged for business intelligence. What distinguishes it from data lakes or traditional data hubs, is that it provides the tools needed to transform data from disparate sources into actionable insights intended for a range of uses and functional groups.

Cloud computing is quickly making inroads in healthcare, with the strongest demand for this software coming from IT professionals in the healthcare space. As a result, providers and payers have started to take note of this demand and are adopting various cloud technologies. Hybrid and multi-cloud adoption is eliciting the most traction from healthcare organizations as they seek a path forward from traditional legacy applications.

Challenges for Healthcare Data

Because of the intricacies and complexities of the profession itself, healthcare companies are faced with a unique set of needs and challenges, including:

  1. Privacy and Security. Issues such as bad actors and ransomware attacks targeting patient data, with HIPAA compliance mandates, privacy and security enforcement are more manageable.
  2. Data Complexity. Patient matching is one aspect of larger master data management challenges in healthcare. Factoring in healthcare’s many standards, code sets, value sets, and local practices and codes, the process for data integration heightens an already complex process.
  3. Capacity for Change and Interoperability. As organizations adopt and utilize new technologies at their own pace, they need better, faster, and easier ways to operate with both new internal and external systems and data sources.
  4. Data Quality. All data integration projects naturally run into data quality issues, which are inconsistent in the way they adhere to various standards.
  5. Skills and Technology. For many health systems, modern tools are unfamiliar as they have historically used legacy tools for every use case. Even if many systems are modern, there is undoubtedly legacy data and systems that must be considered in the grand scheme of value-based care.

To mitigate these issues, a healthcare data analytics hub deals with data as it arrives. The hub mitigates data complexity and security issues by seamlessly linking data across applications, databases and organizations. It resolves data quality issues by producing clean, computable and optimized data for analytics and various other use cases. It takes data that is incompletely coherent to a particular standard and turns it into a computable format that is acceptable and complies with healthcare standards. Data complexity is resolved by aggregating and summarize data in an optimized way, mitigating the skills and technology gap. Overall, a healthcare data analytics hub helps healthcare organization automate and streamline operations and administrative responsibilities.

Benefits of a Healthcare Data Analytics Hub

A healthcare data analytics hub provides a unified platform that helps automate healthcare data delivery, reduces operational overhead, and provides more reliable automation and data sharing. Other important benefits include:

  1. Innovation. Be prepared for new and changing care and delivery models while building more efficient, effective, and standardized care pathways.
  2. Value. Reduce IT infrastructure, development and integration costs while also investing in high-impact performance improvement programs.
  3. Speed. Accelerate developer productivity, improve optimize workflows for clinical and administrative users, and process financial payments in a timely fashion.
  4. Usability. Reduce clinical burden, improve the patient experience, reduce friction between payers and providers and improve overall care to the public.

Get More Out of Your Data Platform

A healthcare data analytics hub supports you in managing data across various systems, allowing you to drive change throughout your healthcare enterprise by cataloging, modeling and analyzing data with ease. Your ecosystem of payers, providers, and other professionals can gain greater insights and drive better outcomes with a trusted, flexible solution for managing data.

With Actian’s Healthcare Data Analytics Hub, businesses can connect, manage, and analyze their data to make the most informed, meaningful decisions and drive better outcomes with a trusted, flexible, and built to scale solution.

Traci Curran headshot

About Traci Curran

Traci Curran serves as Director of Product Marketing at Actian focused on the Actian Data Platform. With more than 20 years of experience in technology marketing, Traci has previously held senior marketing roles at CloudBolt Software, Racemi (acquired by DXC Corporation), as well as some of the world’s most innovative startups. Traci is passionate about helping customers understand how they can accelerate innovation and gain competitive advantage by leveraging digital transformation and cloud technologies.