Deloitte Healthcare & Life Sciences on AWS
Deloitte Healthcare & Life Sciences on AWS
Providing targeted solutions that empower the shift to value‑based healthcare.
Why AWS?
Cloud-based technology is becoming the new normal in healthcare and life sciences –and with good reason. Two-thirds of the average healthcare IT budget is currently dedicated just to keeping the lights on. That amount of spending should reap bigger rewards, and cloud technology offers just that.
Healthcare and life sciences companies around the world are using Amazon Web Services (AWS) to create better experiences and outcomes for patients. Using AWS saves money with affordable archiving, saves physical space with backup servers in the cloud, and offers new ways to manage patient information.
AWS cloud computing also provides access to powerful new analytics capabilities and machine learning (ML), all while meeting the most stringent security and privacy requirements.
It’s time to rethink IT in healthcare and life sciences – and reduce complexity, inefficiency, and costs by optimizing your investment in data management. Here are three specific ways AWS can help.
AWS is collaborating with healthcare providers, public health organizations, government agencies, and life science businesses around the globe to support their efforts to cope with the effects of COVID-19. Our AWS Healthcare & Life Sciences COVID-19 Resources page provides up-to-date information and resources for COVID-19 researchers and diagnostics developers.
Incorporate new technology to improve care delivery and product development
You’re in the health and wellness business, so it’s important to allow your organization to focus more on delivering optimal patient experiences and outcomes, and less on building and maintaining your data infrastructure.
The managed features of AWS provide new ways for life sciences and healthcare customers to connect with patients, providers, suppliers, and distributors. Capabilities such as code-triggered functionality allow customizable reports and personalized notifications, transforming the value chain to help more patients get better, faster. Data analytics empowers researchers, clinicians, and operations and manufacturing teams to make better-informed decisions. ML can support clinical forecasting, personalized engagement, and advanced clinical and product research.
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Code-triggered functionality
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Data analytics
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Machine learning
Propeller Health has developed a digital health platform that improves outcomes for people with chronic respiratory disease. The company applies ML with solutions such as Amazon SageMaker and Amazon Redshift, along with its infrastructure built on AWS, to give patients a forecast of their health based on local weather conditions, recent medication use, and other factors.
Manage your data more effectively
It’s not about the data you have; it’s what you do with it. AWS offers myriad ways to gain insights from the data you gather and store.
That starts with the ability to get data into the cloud quickly and seamlessly. AWS offers hybrid and customized configurations, so your data-management system does exactly what you need it to. That means easy and secure access for users, with safeguards that ensure secure data and user identities. You can search metadata easily, using tools such as predictive and prescriptive analytics to identify trends and develop new insights. You can also segment your data, creating separate storage for active, infrequently accessed, and archived data. AWS supports HIPAA, HITRUST, FedRAMP, and other compliance requirements, with services designed to conform to global industry standards.
The Fred Hutchinson Cancer Research Center in Seattle uses Amazon Comprehend Medical to identify patients for clinical trials who may benefit from specific cancer therapies, reducing the time to process millions of documents from hours to seconds.
Reduce risks and support regulatory compliance
AWS delivers an environment built for the world’s most secure organizations. Our infrastructure meets stringent security standards for banking and the military, with a robust set of tools for networking, encryption, identity management, and regulatory compliance.
Insufficient data security, compliance, and availability can open the door to sophisticated, hard-to-identify attacks. To stay in front of the latest threats, we continually refine our security measures based on our customers’ experiences. And the AWS security team is always available to help.
The healthcare industry is rapidly moving to the cloud, and AWS gives you the best resources to accelerate your journey. In addition to direct support, our AWS Partner Network (APN) connects you with technology and consulting partners who are experts in a wide range of applications. And the AWS Marketplace offers industry-specific software you can deploy with one click.
Deloitte Solutions for Healthcare and Life Sciences on AWS
Our rapidly changing world requires health technologies that deliver the ability to anticipate and quickly respond to emerging needs. Deloitte assists forward-thinking healthcare and life sciences organizations in their cloud migration and digital transformation journeys, providing targeted solutions that empower the shift to value-based, personalized healthcare. These solutions leverage AWS cloud technologies to provide flexible infrastructure, value-added partnerships, customizable platforms, and data-driven insights.
Deloitte ConvergeHEALTH Miner
Healthcare and life sciences organizations generate an overwhelming amount of data – from health records, wearable monitors, studies, control trials, data registries, insurance claims, and more. Deloitte’s ConvergeHEALTH Miner solution turns massive amounts of data into actionable insights, using robust analytics powered by artificial intelligence (AI) and ML tools on AWS.
- Tailor your solution with a modular end-to-end approach. The solution’s flexible ecosystem offers a comprehensive or a-la-carte approach.
- Consolidate, verify, and standardize data. Pull information from internal and external research and real-world assets.
- Collaborate around a central knowledge base. Manage partnerships and oversee projects while providing data access for all stakeholders.
- Create and analyze cohorts. Construct and compare cohorts without coding, using data from multiple sources.
- Employ advanced cloud ML tools. Build and train disease-specific ML models, create insights, and test hypotheses.
- Increase data access. Equip your team by opening the door to abundant sources of clinical and real-world data.
- Empower self-serve data analysis. Easy-to-use statistical tools and apps let more users analyze data sets.
- Accelerate development. Speed time to market for new products and solutions with fast cloud performance and AI automation.
- Lower costs. A pay-as-you-go model, full scalability, and AI process automation reduce expenditures for infrastructure and effort.
- Improve patient outcomes. Fast, smart solutions and deeper data insights drive actionable care improvements with higher engagement rates.
ConvergeHEALTH MyPath Suite
Effective patient engagement remains a critical piece of the healthcare puzzle for providers, clinicians, researchers, caregivers, and patients themselves. As care teams monitor virtual clinical trials and manage chronic disease treatment plans remotely, the MyPath suite of products provides enhanced collaboration, enables reliable data collection, and empowers patients and care teams.
- Multiple MyPath use cases. Specialized solutions include MyPath for Clinical (clinical trials), MyPath for Health (patient engagement for life sciences), and MyPath for Connected Care (patient engagement for healthcare).
- Interoperable platforms. MyPath’s ecosystem supports care teams from clinical trials to chronic disease management and beyond.
- Collated data from many sources. MyPath products ingest and process data from wearables, electronic health records (EHRs), repositories, and more.
- Robust data analysis. AI tools and predictive algorithms glean insights from longitudinal data for improved action.
- Patient-centric design. Smartly designed solutions with behavioral nudges can run on patients’ own devices, encouraging patient engagement.
- Increase patient engagement. Patient-directed products, intuitive design, and AI-enabled alerts help keep patients connected and adherent.
- Enable collaboration and efficiency. Unify care teams by providing a consolidated communication platform with pertinent data and tools.
- Gain real-time insights. Automatically collect and analyze patient-submitted data and information from wearable medical devices.
- Empower clinicians and care teams. Let health and research teams focus on innovation and progress, not administrative tasks.
- Improve patient outcomes. Enable trailblazing clinical discoveries and evidence-based decisions for ongoing care with intelligently managed data.
EHR on AWS
Electronic Health Records (EHR) on AWS enables cost savings, agility, and the ability to leverage the latest cloud tools such as analytics, artificial intelligence, machine learning and customer engagement technologies. EHR on AWS merges the strength of Deloitte’s consulting and implementation services to accelerate EHR migration using AWS cloud infrastructure.
- Simple, scalable infrastructure. Size up and down as you need, and pay only for what you use.
- Lower TCO. Reduce your TCO by more than 30% compared to non-cloud deployments.
- Integrated partner solutions. Use the AWS ecosystem, including AI/ML and analytics tools, to support your health system without migrating workloads.
- High security. Rely on EHR on AWS’s built-in end-to-end security through physical, operational, and software measures.
- Global reliability and performance. Work with confidence, knowing that EHR on AWS is supported by multiple global data centers.
- Reduce operating costs. Decrease administrative and financial expenditures, and free workers to perform value-adding tasks.
- Simplify infrastructure. Save maintenance efforts and costs by eliminating proprietary tools in favor of cloud-native services.
- Accelerate transformation. Roll out new EHR environments quickly with AWS cloud and Deloitte’s expert methodology.
- Scale instantly. Increase capacity on demand following business growth and acquisitions, with no interruption to your service.
- Access AWS services. Enhance your infrastructure with an ecosystem of AWS tools and prebuilt healthcare solutions.
Customer references
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Piedmont Healthcare, with 11 hospitals and hundreds of urgent care and clinical locations, engaged Deloitte Consulting to conduct a pilot migration of EHR on AWS for fully managed, reliable EHR services. With an estimated 30% lower total cost of ownership and a speed to market of less than one week to stand up infrastructure and environments, the pilot demonstrated that EHR on AWS can provide Piedmont Healthcare with a reliable architecture plus agility, scalability, and speed.
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