healthcare data management

Data is the DNA of modern healthcare. As healthcare technology continues to evolve at a rapid pace, and patient data management and security evolve, emerging approaches for disease treatment and prevention—like precision medicine and healthcare content management—are becoming more necessary. Precision medicine is about moving from generic to more precise, population-focused diagnostics and treatment by factoring in data from patients’ genes, environment, lifestyle factors and family history, into clinical decision-making for earlier, more accurate diagnoses, and more effective treatment and prevention. Data is at the heart of enabling doctors and scientists to execute on this mission. Additionally, rapidly changing regulations throughout the world are affecting the management of all healthcare data. Infinidat removes data management barriers from this level of data interaction by removing isolated islands of storage and allowing much more data to reside on a single, high-performance, h

Astaro now ensures that the network is running smoothly and the entire organization has become more productive through content filtering.

Download this analytics report to learn how your healthcare organization can develop a successful strategy to manage data.

Download this whitepaper to learn strategies for effective healthcare information lifecycle management.

The volume of information in the healthcare industry continues to grow exponentially. Meaningful Use, ICD-10, and Accountable Care are all contributing to this data growth. Download this whitepaper to learn how your organization can develop strategies to effectively manage this information throughout its life cycle.

Beyond Silos: Meeting the Data Management Challenge

It’s no secret—healthcare is transforming. The transition to value-based care is well underway; healthcare players are feeling the impact and each has a role to play, including you! Moving to a value-driven model demands agility from every person, process and technology. These changes are generating more data than ever, there is a lot of data, in fact IDC Global Health Insights predicted that over the next 10 years, the amount of digital healthcare data created annually will grow 44 fold. Organizations that lead the pack and succeed will be those where clinicians, business leaders and patients are empowered with access to clean, safe and connected data. Learn more about your role in putting information to work…

The richness of the data combined with the increasing interconnectedness of healthcare technologies makes the industry ripe for cyberattacks.

Advanced image analysis and computer vision are key components of today’s AI revolution and is becoming critical for a wide range of industry applications, including healthcare, where this technology is being used to detect anomalies and improve patient care. Due to a lack of integrated tools and experience with these cutting-edge technologies, however, deploying complete systems is difficult. Applications that utilize deep learning approaches often require large amounts of highly parallel compute power, storage, and networking capabilities, along with performance optimizations for faster data analysis. The Intel and QNAP/IEI solution combines all these elements in one complete system for scalable data management for hospitals and clinics of all sizes. Read more on Intel’s and QNAP/IEI’s real-world use case on macular degeneration analysis through high-performance computing, vision capabilities, storage, and networking in a single solution.

Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.

Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.

With its clients’ needs as the cornerstone of its mission, a research and consulting firm in the healthcare industry wanted a better way to manage its business. The company had been using various spreadsheets and systems to track project and financial information, which made finding data time consuming and inefficient. As a project based business, with the majority of its projects ranging from 2-6 weeks in duration, the organization wanted an integrated solution to help optimize its overall project management approach. The firm selected Deltek and since implementation has experienced numerous benefits, including increased time savings, improved visibility into financial data and enhanced performance.

To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig

A Practical Guide to IDF/MDF Infrastructure Implementation Once relegated to early adopters and casual home users, VoIP (voice over Internet protocol) has matured. An essential element of any unified communications (UC) system, it is now the standard method of voice communication in business, education, government and healthcare. If your organization has not already migrated to VoIP, the question is not so much if it will, but when. Cost is the primary driver, since the data network performs double duty by carrying voice traffic as well. VoIP also offers capabilities that far exceed traditional phone systems, with unified communication platforms promising to integrate messaging, mobility, collaboration, relationship management, zoned security, intelligent call routing, disaster recovery, video, teleconferencing, status updates and other advanced features. The transition to VoIP presents a number of challenges, including assessing the ability of your network to handle not only additio

Medical providers and facilities maintain diverse imaging systems that make management, storage and retrieval challenging. Vendor-neutral archives can address the challenges with central storage facilities, a common interface and simplified access. Learn more in this whitepaper.

Security threats can be next to invisible, but this infographic shows exactly where your healthcare organization can be most at risk. It also gives you valuable tips for helping secure your patient data, financial documents, and medical records.

Fully updated for 2019, this guide covers the latest technologies and best practices for print, device, document, information, and cybersecurity. Learn how you can help maintain the confidentiality, integrity, and availability of health records throughout your organization.

Learn how you can help make sure your patients' data is secure.

This paper discusses why it is important for healthcare organizations to become data driven, gives examples of organizations that are already leveraging a wide range of big data.

The impact of streaming analytics and leveraging expertise in the healthcare sector.

Driving transformation in the healthcare industry as it navigates technological, regulatory, legislative and cultural changes.

Do you need to implement corporate policies regarding security and confidential health information? Learn: How to use IT documentation to prepare for and pass Security audits; What IT data is critical for Security Standards; What is the difference between Security and IT Audits. You can implement a sustainable HIPAA Security Standard – Read this paper to learn more.

Case Study: Beyond "Clinically Enriched Administrative Data": Using Patient- Specific Datasets to Drive Rapid Clinical & Financial Improvements

Given the wide range of technology options available, it's important for healthcare IT executives to pick the right image management technology and approach for a long-term sustainable solution delivering the desired performance and ROI. This whitepaper explores solutions for multi-layered neutrality, a standards-based framework for unifying medical images and clinical documents across the enterprise and community.