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Top 5 Reasons to Revisit Healthcare Analytics Today

Posted on: June 16th, 2016 by Daniella Lundsberg

With so much talk about Big Data today, it’s easy to forget that it continues to be a disruptive, revolutionizing force in healthcare. Technologists keep finding new ways to extract data from unlikely sources – videos, sensors, images, text documents – which data scientists then use to create more sophisticated models and discover new insights.

Smart healthcare groups today are leveraging these advances to solve key challenges throughout the organization:

 

  • Optimizing Patient Outcomes

 

    • Big Data is having a huge impact on clinical research as a whole, allowing investigators to mine patient data from around the globe as they look for cures to cancer, diseases, viruses and more. However, individual providers can also use analytics to study the factors involved in hospital-acquired conditions within their own population. This will help reduce the number of post-op infections, determine which device types (catheters, stents, implants) are more successful, find ways to limit the spread of infectious disease and more.
  • Implementing Workflow Improvements

 

    • Today’s healthcare providers are going beyond scheduling data to find ways to increase staff productivity, limit costs and reduce patient wait times. They’re analyzing every piece of data across the organization – information from the mobile devices physicians carry as they move from patient to patient, the sensors embedded in monitoring devices, dispensary applications, lab equipment, even surveillance footage – to see where improvements can be made.
  • Optimizing Cost and Reimbursement Models

 

    • In 2013 alone, hospitals were underpaid for medical services by $51 billion. Clearly, healthcare providers need to break down the barriers between siloed data stores in order to analyze all the factors that impact care – including revisits and testing protocols – to determine true cost of service. Being able to map that information to payer reimbursements rules will help organizations find a way to reduce growing financial deficits.
  • Pioneering Preventative Medicine

 

    • From wearables for tracking daily wellness habits to genetic testing for understanding predisposal to specific conditions, smart providers are using a wealth of individual and public data to create personalized medical plans to keep their patients healthier over the long run.
  • Boosting Patient and Community Engagement 

 

  • Extending care delivery throughout the community means offering services and facilities tailored to an area’s unique requirements. Whether an organization is looking to grow through acquisition or expansion, planning teams need deep knowledge on population, health factors, care preferences and more. Mining patient information alongside public health and social media data will allow healthcare organizations to keep pace with evolving patient and community trends.

It takes a powerful yet flexible data storage and analytics architecture to continuously capitalize on the advances occurring in Big Data today. At American Digital, we start by optimizing structured data sets and increasing efficiency with next-gen storage technology such as HPE 3PAR. To help companies dig deeper and speed results, our analysts and data scientists rely on HPE’s purpose-built analytics platform equipped with natural language processing and machine learning to draw real-time insights from all available information sources – internal and external, structured and unstructured.

Becoming data driven is one of the best strategies for ensuring relevance in today’s evolving healthcare space. Let us know, in the space below, how you’re using Big Data to drive change within your organization

Surviving the Healthcare Data Flood

Posted on: June 1st, 2016 by Daniella Lundsberg

Surviving the Healthcare Data Flood

Healthcare organizations are generating data at a skyrocketing rate. While the volume of healthcare data was estimated at 153 exabytes in 2013, IDC predicts that it will reach an astounding 2314 exabytes by 2020 – a growth rate of 48% annually.

Clearly, all this data presents a challenge for today’s healthcare IT groups from a resource perspective. At the same time, the privacy and security requirements for how healthcare companies must manage this data continues to change.

Storage as a Strategic Asset

When architecting a storage solution, we believe certain requirements are critical to success – scalability, security and transactional speed. Without scalability, companies can’t leverage data as they grow. It must also be done efficiently – too often storage is a bottleneck that slows down every workload that requires the resource.

Virtualization and Consolidation

Eliminating silos and creating a virtualized, enterprise-wide storage solution is the best way to reduce costs and ensure scalability. More importantly, it ensures that you have the power to apply security policies globally to quickly adjust to regulatory changes.

Deduplication

Reduce storage needs by eliminating redundant data from the start. Storage solutions with federated deduplication capabilities, such as HPE 3PAR, ensure that only one unique instance of the data is actually retained on storage media.  This significantly reduces resource requirements for primary, archival and back-up systems.

Flash

Because data plays a central role in the application delivery process, response time is critical to optimizing the performance of those applications. Flash storage provides superior speed over disc-based options, handling hundreds of thousands of I/O operations per second with sub-millisecond latency.  Now that the cost of flash is on par with disc-based systems (less that $2 per usable GB), more healthcare organizations are adding all flash or hybrid arrays into their storage mix to speed processing for critical workloads.

Tiered Storage

Not all healthcare data is created equal – EMR data and lab results for patients currently under clinical review are far more critical to the organization than scheduling and HR information. IT groups can leverage the fact that data has different values to create a tiered approach to storage.  By deploying mission critical information (Tier 1) on the fastest resources and moving the less important data down to slower systems (Tier 2 or 3), companies can cost-engineer their storage investments.

Back-up and Recovery

Taking the time to implement a centralized back-up, recovery and archival (BURA) solution will significantly reduce administrative work, organizational disruption and time to recovery in the long run. Solutions such as HPE StoreOnce can provide a consolidated BURA solution for multiple data centers and locations without downtime.

Data is critical to every aspect of the patient care – without a smooth flow of information across the organization, healthcare providers can’t admit patients, schedule them for tests or optimize their treatment plans. Let American Digital show you how to control the growing flood of healthcare data and turn it into a strategic asset for the entire organization.

 

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