Big Data Management in Healthcare: Overview
Sharing clinical, patient, medical, and pharma information across disparate systems requires a high degree of data security and integrity. Healthcare leaders recognize that they must transform their data management systems to respond to rapid change and deliver tangible clinical and business benefits to their stakeholders.
Key Data Challenges for Big Data Management in Healthcare:
- Creating a high-quality Customer 360° View while remaining compliant with growing data privacy and security requirements.
- Extensive time and manual effort spent consolidating large volumes of sensitive data into a single unified solution for operations and analytics.
- Lack of centralized data quality and governance.
- Inability to effectively manage the growing complexity of data.
The crux of these challenges lies within the complex infrastructure of most healthcare organizations. Additionally, demands for more digital solutions exponentially increase these challenges for healthcare providers to remain competitive yet compliant. Spending time and effort to build a single integration securely is already difficult. As requirements change, most legacy healthcare tools do not have the flexibility to adapt rapidly.
So how to fix these issues and where to start? Master Data Management for healthcare.
With the right data management strategy, you can drive consistency in your data to reduce errors, optimize costs, and increase safety for the lifetime of your organization.
Here Are 5 Best Practices to Get Your Master Data Management Project Started
1. Define Your Scope: Examples of Data Management in Healthcare
The first place to start is with the anticipated context and scope of your project. Will you start small, and eventually increase your MDM use cases? Will your MDM solution need to be in multiple places, or in one location?
To get started, you may want to prioritize from a list of goals, and then add on as you meet key targets. Examples might include:
- Create interoperability for continuity of care
- Encourage care compliance
- Support customer preferences with new offerings
The right MDM strategy will maximize your organization’s efficiency and connections with patients, providers, and partners. This will give all stakeholders an up-to-date, holistic view of your patient, which is critical to delivering a consistent quality of care.
2. Ensure Governance and Data Quality in Healthcare
Ensuring the proper governance and data quality in healthcare is often an important reason for implementing a Master Data Management (MDM) solution.
The right master data management strategy can alleviate the heavy lifting by painting a fuller, clearer picture of an organization’s data ecosystem. By aligning a strong “HOW” for your healthcare organization with intelligent data stewardship, you can leverage your data assets and create a single, trusted view of patient data. This in turn will streamline intakes, quality reporting, admissions, billing, and other clinical or revenue-driven initiatives.
3. Address Compliance Head On
Your MDM solution must meet current requirements regarding healthcare regulations and privacy, and be flexible enough for future needs. The right MDM strategy will enable you to leverage your data to improve care and protect confidentiality while adapting to changing regulations and requirements.
With a centralized data hub, you can maintain compliance with new regulations. You can also adapt quickly to changing requirements as they are published without impacting operational systems, including HIPAA and GDPR compliance and governance requirements.
4. Research Deployment Options for Master Data Management in Healthcare
Do you need a solution installed on-prem, in the cloud, or a hybrid between the two?
Optimizing resources and costs is key. You don’t want to purchase a solution that you can’t support internally for the foreseeable future.
The most effective MDM strategy enables you to integrate and consolidate systems to create a single view, and adapt to changing business, clinical, or technical requirements without disruption or added cost.
5. Prioritize Tools to Drive Innovation and Reduce TCO
Enterprise EHR vendors promised a “single view of patient data,” but challenges remain when it comes to external sources of data and interoperability initiatives. Driving innovation and enhancing decision-making require a single source of truth for analytics while improving internal operational efficiencies.
With a centralized data hub, you can seamlessly integrate data, and reduce its redundancy by eliminating the IT, administrative, and financial burden of managing multiple sources and software systems.
With the right data hub and management strategy, healthcare administrators can investigate care quality, and finance can implement customizable workflows and interfaces driven by your data. This will eliminate manual processes, and bring clinical quality to your patients and efficiency to your business.
Data management doesn’t need to be a burden. Today’s healthcare data management software solutions are agile, adaptable, and easy to deploy. You can start today and see measurable value in just a few weeks.
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What Are Your Data Challenges?
The Semarchy Unified Data Platform is your integrated data management platform. It’s the one-stop-shop for data management, integration, and governance. With Semarchy, any-sized business can build trust in a single source of truth.
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