Healthcare & Life Sciences (HCLS)
Innovative cloud-based solutions to enhance patient care, lower costs, and improve efficiency.
Innovate faster to improve patient outcomes
Healthcare and life sciences organizations are looking for ways to lower costs and improve the quality of patient care. Intelligent, connected, and secure cloud-based solutions can help bring innovations to care delivery models, drug discovery, and genomics. These solutions can help enable healthcare and life sciences organizations to achieve their business and patient care goals as detailed below.
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Challenges our solutions are solving
▶ Care coordination: When seeking care, patients may interact with a variety of healthcare providers and are expecting that their information is shared across this continuum of care.
▶ Patient engagement: Engaging patients to be active participants in managing their health is a key pillar of healthcare of the future. Addressing the various aspects of patient engagement is required to provide a comprehensive patient engagement experience.
▶ Healthcare analytics: To perform clinical and population analytics, organizations need to leverage machine learning models and other advanced solutions that speed discovery, visualization, and sharing of new patterns and insights.
▶ Compliance and security: Compute, storage, and networking solutions need to provide the required level of security across cloud environments and ensure that IT infrastructure is maintained in compliance with changing policies and regulations.
▶ Clinical data archival and storage: Short and long term storage solutions are needed to archive, and back up vast amounts of sensitive information, such as clinical, patient and operational data.
▶ Clinical information systems and operational excellence: The infrastructure needs to be customizable and secure, and provide fast, secure access to store and share patient information across electronic medical record and other mission-critical systems.
Learn how AWS Marketplace can help you achieve and manage healthcare interoperability from the different points of care and drive value-based outcomes.
Healthcare & Life Sciences (HCLS) use cases
These are just a few examples of how HCLS organizations are accelerating research and development, improving patient care, and driving other key focus areas with AWS services and solutions in AWS Marketplace.
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Innovate care delivery
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Establish secure IT operations
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Discover algorithms and ML models
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Innovate care delivery
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Create enhanced customer experiences through patient-managed services
Change Healthcare manages millions of confidential transactions daily from its clients while maintaining full compliance with healthcare industry regulations, including HIPAA. Their products include Telehealth, Change Healthcare Clearinghouse, and a Medical Eligibility Benefits API. The Telehealth offering allows providers to access eligibility benefits, submit claims, and verify the status of claims, while Change Healthcare Clearinghouse provides real-time eligibility verifications, claims submissions, and claims status. The Medical Eligibility Benefits API allows providers to instantly verify patient coverage and provide access to co-insurance, copay, deductible, and other plan details. Change Healthcare helps accelerate the journey to a value-based healthcare system.
Rapidly create and scale applications by extracting value from your data
InterSystems IRIS for Health is the world’s first and only data platform specifically engineered to extract value from healthcare data. InterSystems advanced software empowers people at every step of the healthcare ecosystem to deliver what matters to patients, providers, payers, governments, and technology innovators to rapidly create and scale the industry’s next breakthrough applications.InterSystems’ interoperability technology has been at or near the top of KLAS rankings for over a decade. Today, more than half a billion health records are managed by solutions built on InterSystems technology.InterSystems IRIS for Health enables healthcare providers to:(1) Build health information systems that deliver intelligent workflows with real-time analytics(2) Move large, connected, healthcare data-intensive applications to the cloud(3) Deliver connected health solutions that draw data from multiple sources(4) Create new clinical research applications with big data from clinical trials, population health initiatives, and other diverse sources(5) Publish new apps for the Internet of Healthy Things(6) Serve up massive amounts of clean data for artificial intelligence and machine learning applications
Clinical appliances for imaging
Dicom Systems offers a proven and scalable de-identification toolset that unlocks valuable imaging studies for research, policy assessment, and comparative effectiveness studies. The Dicom Systems Unifier platform enables healthcare providers and researchers to acquire, exchange, modify, and archive medical images, diagnostic reports, and related patient data. Organizations can use the platform to quickly prepare their data, securely migrate their data to AWS, and then use the data lake in AWS to develop algorithms—all in less time and at a lower cost than competitive solutions.
Healthcare analytics for providers, physicians, and patients
Faster and more efficient analytics are critical to the future of healthcare and life sciences. Equipping providers, physicians, and other caregivers with data-driven insights can drive innovation and enhanced decision-making, which in turn means more efficient care and better patient outcomes. The challenge is to find the right analytics solution—one that is fast, secure, and designed specifically for the healthcare industry.
TIBCO Spotfire for AWS provides customers best-in-class visual analytics with no data limits in a traditional subscription or pay-as-you go model with no up-front costs.
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Establish secure IT operations
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Protect patient data, devices, and networks while addressing healthcare regulations
Healthcare and life sciences (HCLS) organizations focus on protecting human lives, but they also need to defend the digital lives of patients and customers. Doing so depends on protecting data, devices, and networks while also complying with complex healthcare regulations. Trend Micro understands the unique challenges of the healthcare industry and provides layered solutions that integrate with existing infrastructure and have the flexibility to grow and change as the needs of HCLS organizations and their patients and customers evolve.
Trend Micro security solutions include products targeted at user protection, hybrid cloud security, and network defense. Trend Micro Deep Security, powered by XGen, provides a comprehensive suite of cloud security capabilities from a single agent, so organizations can secure patient data in less time and at lower cost. The solution provides a consolidated view into all areas of security, automating repetitive tasks, immediately securing new AWS instances, and producing reports for auditors. The ease of deployment for Trend Micro Deep Security on AWS frees healthcare organizations to focus on growing the business and providing better patient and customer care.
Business continuity and disaster recovery with NetApp on AWS
Service interruptions and physical disasters are two of the many risks involved in healthcare IT. Business continuity (BC) and disaster recovery (DR) ensures data resilience in the event of physical disasters, network outages, and malicious attacks. Healthcare organizations need to ensure that their cloud workloads are always available and include a reliable, easy-to-use backup solution that allows for instant recovery. Assurance that patient records are protected and not lost if the accessing hardware is destroyed, is key.
NetApp® Cloud Volumes ONTAP® solves this by providing a scalable, affordable way to protect data and ensure it is recoverable and accessible in case of disaster. NetApp® Cloud Volumes ONTAP® can be easily integrated with your AWS infrastructure to backup data from your on-premises and/or cloud environments to AWS storage targets. With near-instant online recovery capabilities that do not require a secondary disaster recovery location, this solution provides flexibility and speed you cannot get from tape backup. NetApp Cloud Volumes ONTAP is a data storage management platform that enables stakeholders across the health IT spectrum to reliably and cost-effectively leverage the benefits of the cloud while streamlining data management and improving patient care.
Disaster recovery for business critical applications
Both patients’ wellbeing and healthcare providers’ businesses depend on cost-efficient and compliant disaster recovery solutions that can keep systems up and running when disasters strike. This is an increasing challenge for healthcare and life sciences (HCLS) organizations with growing IT infrastructures, many different systems operating independently, and limited capital to add and manage new servers.
Software-as-a-Service (SaaS) disaster recovery solutions, such as CloudEndure Disaster Recovery, deliver key advantages to HCLS organizations. CloudEndure Disaster Recovery is a one-touch disaster recovery solution that ensures a near-zero Recovery Point Objective (RPO) and Recovery Time Objective (RTO) for all applications, while reducing many traditional disaster recovery expenses. CloudEndure offers both Tier 1 and Tier 2 disaster recovery, with each tier providing a different level of functionality at a different price, so organizations can choose the most cost-effective solution based on workload criticality.
Improve patient care with a data lake for analysis
Many healthcare and life sciences (HCLS) organizations struggle to store and quickly analyze data from new data sources like log files, data from click-streams, social media, and Internet-connected devices. Existing Extract-Transform-Load (ETL) and other storage solutions can get overwhelmed, slowing down innovation and projects that are critical to the bottom line, and can ultimately affect the quality of patient care. However, using a data lake along with complementary tools and architecture—such as Amazon Redshift, Amazon S3, and Matillion ETL—can alleviate these challenges to improve patient care.
With data integration by Matillion, HCLS organizations can easily load their data to Amazon S3 using pre-built connectors. They can then use Matillion to trigger transformation jobs to make data relatable, analyze it in a clean state, and send it to visualization tools. This enables HCLS organizations to harness more data from new sources in less time, leading to faster, better decision-making to improve everything from clinical processes and care delivery to long-term patient outcomes.
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Discover algorithms and ML models
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ML models to predict patient readmission
Manufacturing pharmaceuticals at commercial scale involves an array of complex variables and dependencies, including many different processes, types of equipment, systems, raw materials, and human activities. All of this must be carefully orchestrated to develop and manufacture pharmaceutical products of high quality, adhere to stringent regulations for ‘good manufacturing practices’ (GMP) and FDA validation, and maintain sustainable production costs. By collecting and storing real-time data from sensors, equipment, and operational systems such as alarms, manufacturers gain trustworthy visibility into operations. It also provides the basis for creating predictive models to identify improvements and root causes before adverse events occur.
Bigfinite Inc. is an advanced analytics and manufacturing intelligence platform that provides pharmaceutical and biotech manufacturers a way to gain the understanding and insights needed to improve efficiencies and ensure product quality. The Bigfinite platform collects and stores real-time data from production equipment, processes, and operational systems into a GMP-compliant big data environment using IIoT technologies. The data can then be used to build and train artificial intelligence/machine learning models to identify improvements that are then deployed with targeted solutions, helping to make manufacturers’ processes more robust and their operations more profitable.
Predict patient readmission
Healthcare and life sciences organizations need to focus on existing challenges, but they also need to focus on the future. Being able to predict what’s coming next—disease development in individual patients or population-based trends, for instance—is essential to improving the quality of care and running more efficient, cost-effective businesses. To perform fast, accurate predictive analytics, organizations need proven machine learning (ML) solutions.
TIBCO Data Science, a collaborative platform for operationalizing data science, is at the forefront of predictive healthcare. The solution applies ML to big data and automates analytical models, so organizations can identify trends and patterns and make informed predictions about future medical events.
TIBCO offers ML models that use patient medical records to predict hospital readmissions, a costly issue that directly affects patient quality of life. The TIBCO platform streamlines collaboration and makes it easy to combine data, such as patient demographics and hospital treatment plans, to make accurate predictions that can transform healthcare treatments and follow-through.
Patient history provides predictive analysis for early detection
By leveraging machine learning models to analyze a patient’s medical history, it is possible to calculate their risk of being diagnosed with multiple diseases within the next year. Organizations that can predict the onset of serious diseases can provide better care management for entire communities and save individual lives through early detection.
Perception Health provides proprietary CARE algorithms powered by Amazon SageMaker, a fully-managed platform that is designed to enable developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale—without exposing HIPAA-protected information. Perception Health’s algorithm can be licensed by users on a per-patient basis and run on AWS. There are more than 14 billion medical claims and 6.5 million more added daily. With at-a-glance visuals, a spectrum of tools, and personalized expertise from data scientists, healthcare and life sciences organizations can validate strategies and optimize workflows that benefit providers, payers, and patients across the entire system.
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