5 Top Data Management Tools for Healthcare and Life Sciences

For the last decade, the healthcare industry has witnessed a ballooning of information stored in databases across providers, insurers, and other organizations. Today global healthcare records contain an estimated total of 2314 exabytes of information– up 1500% from 153 in 2013. To manage this volume of data responsibly and leverage it through analytics for better insights and practices, organizations need high-quality healthcare data management tools now more than ever.

Following shifts to telehealth and virtual care during the Covid-19 pandemic, healthcare organizations have begun to reassess their IT spending priorities, with 48% reporting newly planned investments into analytics software. With stricter standards for privacy protection and legal compliance, healthcare information presents unique challenges in the data management field.

In this guide, you’ll learn what data management in healthcare is and which tools are best in the industry to practice it.

Key Takeaways

• Healthcare data management refers to compiling medical records and data into a single, comprehensive platform to assist point of care decisions and data analytics at the organizational level.
• Data management tools help healthcare organizations and providers make better decisions in the treatment of individual patients, ensure regulatory compliance, and lower overall operating costs.
• Most healthcare data management tools come in the form of integration platforms as a service (iPaaS) that aggregate information from disparate sources and applications.

What is Data Management in Healthcare and the Life Sciences?

Image source: https://catalyst.nejm.org/doi/full/10.1056/CAT.18.0290

In healthcare, strategic data management involves compiling, storing, and analyzing healthcare records and patient data from various sources in all relevant providers and organizations. These sources include electronic healthcare records (EHRs), information from patient portals, government records, and insurance records, among others.

As in other industries, data analytics in healthcare turn large volumes of information into actionable insights that can improve the performance and efficiency of managing organizations. Data management in healthcare allows providers to assess long-term patient medical histories and deliver more informed treatment decisions faster.

With data aggregated from otherwise unconnected sources, healthcare providers and managing organizations can use data management tools to deliver significant benefits in their operations.

• Data analytics yield predictive insights into population-level trends.
• Access to unified, comprehensive medical records in a single platform helps physicians and other practitioners provide individual patients with optimal treatment.
• At the organizational level, data analytics can identify areas to reduce spending and improve cost-effectiveness.
• Data management allows organizations to accurately track physicians’ performance and assess how effectively time and resources are spent.

5 Healthcare Data Management Tools for 2022

Here’s a list of top data management tools that excel in the healthcare industry and life sciences.

1. Coperor E-MDM

Image source: https://gaine.com/coperor/

The Coperor master data management (MDM) platform provides solutions scalable across information ecosystems. Coperor differs from other solutions in this list as it was designed by healthcare professionals specifically for use in healthcare applications. Developers of data management software for general use often lack expertise in the specific requirements of the healthcare industry.

Coperor combines information from all contracted partners in a single interface, enabling four critical use cases.

• Track patient journeys
• Maintain accurate cross-organization provider directories
• Ensure full regulatory compliance with CCPA, HIPAA, GDPR, and other legal requirements
• Allow real-time custom integration with customer relationship management (CRM) software commonly used by healthcare organizations

Coperor offers effective data modeling out of the box and contains a library of rules and healthcare policies for customization.

Video: Coperor by Gaine Real-time MDM: A Brief Overview for Life Sciences

2. SnapLogic

SnapLogic is an excellent example of a broadly applicable workhorse for data management. The company specializes in enterprise-level data and application integrations for cloud and on-premise environments.

Combining an integration platform as a service (iPaaS) with packaged connectors called Snaps, SnapLogic allows businesses to integrate applications they already use in an intuitive visual interface and without writing code. For healthcare organizations with minimal in-house IT resources, low- and no-code integration capabilities give decision-makers options to sync uncoordinated applications and organize workflows without bringing in dedicated developers.

3. Jibberbit

Jitterbit is another popular, general use iPaaS provider. It offers pre-built templates and workflows for integrated applications and plug-ins for AI, language translation, and speech recognition.

Jitterbit includes some healthcare-specific adaptations in its platform.

• Patient Care: Jitterbit automates updates in patient data at the care provider’s end in conformity with HIPAA and other compliance requirements. It also recognizes various clinical data entry formats, eliminating the need for manual re-entry.
• Organizational Features: Jitterbit maintains a layer of accessible surface data for scheduling and revenue analysis. Scalability mitigates the risk of downtime due to custom development.

4. Qlik Data Integration

Qlik focuses on change data capture (CDC) to create live data streams from servers and applications to end-use analytics tools. In database management, CDC refers to code that logs notifications for data changes. Qlik’s data streaming service delivers CDC information to an enterprise-level console for monitoring and analytics.

Qlik’s services align closely with what has come to be known as DataOps – a combination of ‘data’ and ‘operations’ in the spirit of DevOps in software development – in the field of data science. In healthcare contexts, Qlik is better suited to meeting the data analytics needs of large organizations such as hospital networks, insurers, and HMOs than to enabling care provider tasks.

5. TIBCO

TIBCO Software Inc. recently acquired software developer Information Builders and now offers a healthcare-focused platform in its solutions catalog. The TIBCO healthcare solution combines an iPaaS with an emphasis on improving point of care insights and decision-making for healthcare professionals.

In its focus on patient care, TIBCO incorporates data on social determinants of health (SDOHs) into patient medical histories along with periodic treatment schedules.

Get to the Single Source of Truth in Your Organization with Coperor by Gaine

Many iPaaS providers offer data management tools to the healthcare industry, but Coperor stands out from the crowd as the only solution designed by healthcare professionals for healthcare professionals. Gaine understands that healthcare challenges are unique among industries and resistant to generic approaches. Coperor combines cutting-edge integration technology with an industry-first healthcare-specific data model.

To learn more and subscribe to further developments, visit Gaine today.