What Are the Best Data Management Solutions for Healthcare?

Since the start of this year healthcare institutions have been under extreme pressure to deliver superior patient care outcomes, lower high operating costs, regulating changing compliance & security standards, and managing increasing volumes of data from external and internal sources and utilizing it for making smarter business choices.

Harnessing digital advancement of healthcare institutions can avoid these blockers. Which can help them in streamlining care-based initiatives and fast-track business outcomes for their respective healthcare facilities. Such a modern solution can be data intelligence which can unlock predictable insights for healthcare institutions such as hospitals, clinics, medical centers, nursing homes, and infirmaries in diverse operational areas.

What is AI-powered healthcare data management solutions & how can it drive smarter operations? 

Data intelligence is a mix of advanced analytics, AI (artificial intelligence), and machine learning (ML), which assists healthcare organizations transform from a reactive, one-size-fits-all strategy into an agile, personalized, and efficient system. Companies specializing in healthcare data management can assist healthcare service providers to foster impactful data intelligence by helping them analyze vast, unstructured data from disparate sources such as EHRs (electronic health records), medical imaging, wearables, etc., providing actionable and predictable insights that improve patient outcomes, reduce operational costs, and streamline operations for healthcare facilities.

In this blog we’ll discuss some of the best data management solutions for healthcare businesses that can help them improve diagnostic accuracy, personalize care, and optimize workflows.

Let’s examine some of the best healthcare data management solutions:

1. Microsoft Fabric

According to statistics available on Microsoft’s website, it currently caters to more than 170,000 healthcare organizations around the world. By providing exclusive healthcare solutions for care giving institutions Microsoft excels in digitalizing end-to-end IT systems at hospitals, healthcare institutions, clinics, etc. by modernizing technological infrastructures Microsoft Fabric helps them in enhancing the performance of patient data management systems and streamlining workflows while ensuring strict focus on data security.

One of the best data management solutions for healthcare is Microsoft Fabric, which accelerates healthcare data modernization by offering a SaaS-based 360* platform that unifies fragmented EHRs, imaging (DICOM), and clinical data into One Lake. Acting as one of the best data management solutions for healthcare businesses running holistically in a Microsoft-driven environment.

Let’s dive into the key capabilities of Microsoft Fabric for healthcare organizations: 

• Data Management & Interoperability: By unifying all the healthcare data into a unified system, Fabric breaks down data silos harnessing centralized Lakehouse solution that combines data from disparate sources. Additionally, all this data is governed by a fully compliant solution named Microsoft Purview, which helps in maintaining HIPAA and GDPR compliances for healthcare businesses.
• Data Intelligence & Analytics: Using modern AI/ML capabilities, Fabric promises to help healthcare organizations by delivering real-time insights by enabling clinical teams to create exclusive healthcare dashboards in Power BI that harness predictive intelligence to monitor patient outcomes, operational metrics, identify early signs of chronic diseases, and improving overall efficiency of your healthcare organization by reducing time to prepare data. Thus, improving the rate of decision-making lifecycles into healthcare is a must have in critical healthcare scenarios.
• FHIR Integration: Using Microsoft Fabric & customized Azure Health Data Services trustworthy companies specializing in healthcare data management like Beyond Key can help IT teams at healthcare organizations in consolidating disparate data sources such as Electronic Health Records (EHRs), imaging systems (PACS), and IoT devices into a unified, single-source-of-truth aka FHIR (Fast Healthcare Interoperability Resources) a new age, open-source HL7 standard custom built to help healthcare institutions securely exchange electronic health information between different computer systems, such as EHRs, mobile apps, and cloud devices.

Final verdict: 

Harnessing Microsoft Fabric and the implementational expertise of a skilled Microsoft Featured Partner & Microsoft Solutions Partner like Beyond Key, healthcare providers can facilitate these types of modern systems that guarantee robust data management, interoperability, and analytics making it easier for healthcare providers to excess patient records across different platforms, systems, and software’s, under secure and compliant Microsoft environment.

2. Snowflake AI Data Cloud:

Another platform that can be considered inside the best data management solutions for healthcare category can be Snowflake AI Data Cloud.

Snowflake a SaaS-based, cloud-agnostic data warehousing and analytics platform that guarantees to offer superior data management capabilities on a pay-as-you-go model making it efficient for small healthcare units, clinics, and set-ups running on tight IT infrastructural budgets. With its modern AI/ML capabilities, Snowflake AI Data Cloud is considered the first-choice healthcare data management solutions for organizations looking to build a robust AI & data foundation for their healthcare businesses.

As data is the backbone of AI. Snowflake helps healthcare institutions modernize their enterprise data strategy by accelerating key business workflows by improving patient outcomes, accelerating research, optimizing supply chain, reducing mounting operational costs, while ensuring strict compliance standards.

Unlike traditional data platforms that require data movement and complex ETL processes, Snowflake provides a single-source-of-truth allowing healthcare organizations to share live, regulated data with partners, patients, without creating duplicates under compliances such as HITRUST, HIPAA, GxP and FedRAMP.

Snowflake promises to offer some of the best data management solutions for healthcare providers compared to a traditional data management setup, including:

• Secure data collaboration and sharing
• High interoperability & multimodal data support
• Separation of compute & storage
• Built-in AI & machine learning capabilities
• A fully secure and compliant platform with built-in HITRUST/HIPAA compliance

Final Verdict: Organizations looking to streamline hospital systems and aiming to modernize their end-to-end data infrastructure should look to implement Snowflake AI Data Cloud which can assist them in improving patient outcomes and accelerate AI adoption. A Snowflake AI Data Cloud Service Partner like Beyond Key can assist in successfully implementing it for your healthcare organization. If you’re looking to integrate multiple data sources such as EHR, clinical records and patient data a fully compliant environment then try evaluating Snowflake AI Data Cloud, how about a 30-minute complimentary demo of this platform by our experts.

3. Databricks Lakehouse Platform:

According to research, an average hospital produces roughly 50 petabytes of data annually. Let alone global healthcare units are generating roughly 30% of the world’s data volumes, growing at 36-47% annually.

That is quite an enormous volume of data that needs attention to smarter utilization, management, and insights that can help in maximizing business outcomes. To help healthcare businesses streamline technological bottlenecks of managing, standardizing, and maintaining such growing volumes of data, the Databricks Lakehouse platform can be just the right solution.

Databricks is an AI-led data management platform that combines the best of data lakes and data warehouses to help you reduce costs and accelerate AI adoption. It tops the list of superior healthcare data management solutions as it enables forward looking healthcare organizations to process increasing volumes of EHR (Electronic Health Records), imaging, and genomic data records to maximize patient outcomes and improve operational efficiencies.

How can Databricks maximize the outcome of healthcare data at your organization?

• By improving data management & enabling data modernization: It consolidates fragmented structured data (EHR, claims) and unstructured data (medical images, clinical notes) into a single Lakehouse. This consolidated data is then transformed into real-time data streaming, harnessing a Spark structured streaming helping healthcare units derive meaningful insights from wearable devices in near real-time. Additionally, Databricks promises to offer improved data governance compared to a traditional setup ensuring sensitive patient data is protected inside a HIPAA/GDPR compliant environment.
• Predictable healthcare analytics and clinical insights: Databricks assist in accessing predictive patient outcomes, i.e., identifying high-risk patients for readmission or deteriorations, allowing for early intervention. Similarly, it can be used to optimize operational efficiency by analyzing hospital data such as bed capability, emergency department inflows, operating room scheduling, reducing costs, and waiting times.

Importantly, it also acts as a robust platform to process terabytes of data related to genetic sequencing. This can assist in identifying biomarkers and tailor treatment protocols according to individual patient profiles.

• AI & Machine Learning Adoption: As a futuristic data management solution for healthcare businesses Databricks promises to offer some unique AI characteristics that use LLMs (Large Language Models) and NLP (Natural Language Processing) applicable to numerous healthcare use cases such as the automation of clinical documentation, drug discovery, and diseases forecasting.

Interestingly, it can be operationalized by non-technical staff harnessing AI/BI Genie to query data using natural language making data accessible for everyone in every part of the business.

Final Verdict: Databricks acts as a cost-effective data management, analytics, and AI implementation solution for modern healthcare organizations looking to replace multiple legacy systems with a single cloud native platform. Because of its unique AI features, cost efficiencies, and modern benefits, it is used by leading healthcare organizations such as AstraZeneca and CVS Health. If you’re looking to speed up research, accelerate clinical trials, and improve patient-centric care at your healthcare unit try evaluating Databricks implementation benefits for healthcare providers in a 30-minute, no-cost demonstration by a certified expert from Beyond Key.

Conclusion:

Organizations must take the help of an expert consultant to manage complex data environments, ensure compliance with standards such as HL7, FHIR, and HIPAA, and build scalable architectures that can support long-term digital transformation objectives.

This is where Beyond Key comes into the picture. From the past 20+ years we have been helping global healthcare organizations solve complex data management problems modern solutions focused on solving their critical pain areas. Our team of certified experts ensure superior quality while modernizing your existing data management system from a traditional setup with limitations to a full-scale data management system with scalable AI capabilities for the future.

If you’re looking to implement a modern data management solution for your healthcare business then try taking the services of companies specializing in healthcare data management like Beyond Key, book a 30-minute, complimentary consultation by our experts today!