\nToday, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), announced the general availability of Amazon HealthLake, a HIPAA-eligible service for healthcare and life sciences organizations to ingest, store, query, and analyze their health data at scale. Amazon HealthLake uses machine learning to understand and extract meaningful medical information from unstructured data, and then organizes, indexes, and stores that information in chronological order. The result provides a holistic view of patient health. The service leverages the Fast Healthcare Interoperability Resources (FHIR) industry standard format to further enable interoperability by facilitating the exchange of information across healthcare systems, pharmaceutical companies, clinical researchers, health insurers, patients, and more. Amazon HealthLake is a new service that is part of AWS for Health, a comprehensive offering of AWS services and AWS Partner Network solutions used by thousands of healthcare and life sciences customers globally. AWS for Health provides proven and easily accessible capabilities that help organizations increase the pace of innovation, unlock the potential of health data, and develop more personalized approaches to therapeutic development and care. As part of AWS for Health, Amazon HealthLake further facilitates customers\u2019 application of analytics and machine learning on top of their newly normalized and structured data. Doing so enables customers to examine trends like disease progression at the individual or population health level over time, spot opportunities for early intervention, and deliver personalized medicine. To get started with Amazon HealthLake, visit: https:\/\/aws.amazon.com\/healthlake<\/a>. For more information on AWS for Health, visit: https:\/\/aws.amazon.com\/health<\/a>.\n<\/p>\n
\nThe healthcare industry is being transformed through the cloud and the utilization of data, helping organizations uncover new insights and deliver improved patient care. Healthcare organizations are creating huge volumes of patient information every day, and the majority of this data is unstructured and contained in clinical notes, laboratory reports, insurance claims, medical images, recorded conversations, and graphs that are in different formats and spread across disparate systems. Before customers can derive a single insight (e.g. flag high-risk diabetic patients predicted to develop further complications), they have to aggregate, structure, and normalize this data. Then it must be tagged, indexed, and put in chronological order. This is a time-consuming and error-prone process. Some healthcare organizations use optical character recognition and build rule-based tools to automate the process of transforming unstructured data and extracting clinical information (e.g. diagnoses, medications, and procedures). However, these options are often inaccurate and can\u2019t account for variations in spelling, typos, or grammatical errors. Even after organizations are able to aggregate and structure their data, they still need to build their own analytics and machine learning applications to reveal relationships in the data, discover trends, and make precise predictions. The cost and operational complexity of this work is prohibitive to most organizations. As a result, the vast majority of organizations cannot realize the full potential of their data to help improve the health of patients and communities.\n<\/p>\n
\nAmazon HealthLake removes this heavy lifting by using highly accurate machine learning to automate the extraction and transformation of unstructured health data so organizations can apply advanced analytics and customized machine learning models to their information. Using Amazon HealthLake, organizations can easily move their FHIR-formatted health data from on-premises systems to a secure data lake in the cloud. Amazon HealthLake uses specially tuned machine learning models that understand medical terminology to identify and tag each piece of clinical information. The service then enriches data with standardized labels (e.g. medications, conditions, diagnoses, etc.) so the data can be easily searched and analyzed. Amazon HealthLake also indexes events like patient visits into a timeline, giving medical professionals a holistic, chronological view of each patient\u2019s medical history. Once this heavy lifting is completed, customers can apply analytics and machine learning on top of this newly normalized and structured data. For example, customers can apply analytics using Amazon QuickSight to understand patient and population-level trends, as well as build powerful machine learning models with Amazon SageMaker to help make accurate predictions about the progression of disease, the efficacy of clinical trials, the eligibility of insurance claims, and more. Amazon HealthLake also stores data in the FHIR format to facilitate the exchange of information so that it is easy for organizations, researchers, and practitioners to collaborate and accelerate breakthroughs in treatments, deliver vaccines to market faster, and discover health trends in patient populations. Customers who do not already have data in the FHIR format can work with AWS Connector Partners, such as Diameter Health, InterSystems, Redox, and HealthLX, who have built validated Amazon HealthLake connectors to transform existing healthcare data into FHIR format and move it to Amazon HealthLake.\n<\/p>\n
\nAmazon HealthLake\u2019s purpose-built analytics and machine learning capabilities are also now available to customers under AWS for Health, a growing portfolio of solutions that simplifies how healthcare, biopharma, and genomics organizations discover, assess, and deploy cloud solutions to achieve better business and patient outcomes. For example, solutions offered in AWS for Health are helping customers create holistic Electronic Health Records to help clinicians make data-driven care plans, accelerate research and discovery to bring new therapies to market faster, and powering population genomic initiatives to expand precision medicine accessibility.\n<\/p>\n
\n\u201cMore and more of our customers in the healthcare and life sciences space are looking to organize and make sense of their reams of data, but are finding this process challenging and cumbersome,\u201d said Swami Sivasubramanian, Vice President of Amazon Machine Learning for AWS. \u201cWe built Amazon HealthLake to remove this heavy lifting for healthcare organizations so they can transform health data in the cloud in minutes and begin analyzing that information securely at scale. Alongside AWS for Health, we\u2019re excited about how Amazon HealthLake can help medical providers, health insurers, and pharmaceutical companies provide patients and populations with data-driven, personalized, and predictive care.\u201d\n<\/p>\n
\nAmazon HealthLake is available today in US East (N. Virginia), US East (Ohio), and US West (Oregon), with additional region availability coming soon.\n<\/p>\n
\nRush University Medical Center is an academic medical center that includes a 671-bed hospital serving adults and children, the 61-bed Johnston R. Bowman Health Center, and Rush University. For more than 180 years, the Medical Center has been leading the way in developing innovative and often life-saving treatments. \u201cEven while still in preview, Amazon HealthLake was an integral part of our COVID-19 response and our efforts to address health inequities. It has enabled us to quickly store disparate data from multiple data sources in FHIR format in order to gain critical insights in to the care of COVID-19 patients,\u201d said Dr. Bala Hota, Vice President and Chief Analytics Officer at Rush University Medical Center. \u201cWe have also used HealthLake\u2019s integrated natural language processing to extract information such as medication, diagnosis, and previous conditions from doctors\u2019 clinical notes and enrich patient records to examine barriers to healthcare access, providing our researchers additional data points for analytics. With the HealthLake API, we created a mobile app to provide insights into care gaps across the West Side of Chicago. Amazon HealthLake enables us to accelerate insights and drive decisions faster to better serve the Chicago community.\u201d\n<\/p>\n
\nCortica, a preview customer of Amazon HealthLake, provides healthcare services to children with autism and other brain conditions. The unique Cortica Care Model seamlessly blends neurology, research-based therapies, and technology into truly comprehensive care programs for the children they serve. \u201cAt Cortica, we\u2019re on a mission to revolutionize healthcare for children with autism and other developmental differences,\u201d said Ernesto DiMarino, Head of Enterprise Applications and Data at Cortica. \u201cIn a matter of weeks rather than months, Amazon HealthLake empowered us to create a centralized platform that securely stores patients\u2019 medical history, medication history, behavioral assessments, and lab reports. This platform gives our clinical team deeper insight into the care progression of our patients. Using predefined notebooks in Amazon SageMaker with data from Amazon HealthLake, we can apply machine learning models to track and prognosticate each patient\u2019s progression toward their goals in ways not otherwise possible. Through this technology, we can also share HIPAA-compliant data with our patients, researchers, and healthcare partners in an interoperable manner, furthering important research into autism treatment.\u201d\n<\/p>\n
\nCureMatch is a digital health company focused on personalized medicine and combination therapy in oncology. CureMatch\u2019s Decision Support System guides oncologists in the selection of cancer drugs that are customized for individual patients based on their molecular tumor profile, providing actionable intelligence to support advanced cancer treatment options. \u201cWith the use of the HealthShare Message Transformation Service by InterSystems and Amazon HealthLake, we will be able to access and transform molecular profile data from the EHR into FHIR format to run advanced analytics and algorithms, providing clinical decision support and guidance to assist oncologists with personalized cancer treatment options,\u201d said Philippe Faurie, Vice President of Professional Services at CureMatch.\n<\/p>\n
\nMEDHOST provides market-leading enterprise, departmental, and healthcare engagement solutions to more than 1,000 healthcare facilities. Its integrated product portfolio includes intuitive and cloud-based clinical, financial, and operational solutions, including YourCare Everywhere, a robust health and wellness consumer engagement platform. \u201cThe vast majority of MEDHOST\u2019s more than 1,000 healthcare facility customers want to develop solutions to standardize patient data in FHIR format and build dashboards and advanced analytics to improve patient care, but that is difficult and time consuming today,\u201d said Pandian Velayutham, Senior Director of Engineering at MEDHOST. \u201cWith Amazon HealthLake, we can meet our customers\u2019 needs by creating a compliant FHIR data store in just days rather than weeks with integrated natural language processing and analytics to improve hospital operational efficiency and provide better patient care.\u201d\n<\/p>\n
About Amazon Web Services<\/strong><\/p>\n \nFor over 15 years, Amazon Web Services has been the world\u2019s most comprehensive and broadly adopted cloud platform. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 81 Availability Zones within 25 geographic regions, with announced plans for 21 more Availability Zones and seven more AWS Regions in Australia, India, Indonesia, Israel, Spain, Switzerland, and the United Arab Emirates. Millions of customers\u2014including the fastest-growing startups, largest enterprises, and leading government agencies\u2014trust AWS to power their infrastructure, become more agile, and lower costs. To learn more about AWS, visit aws.amazon.com<\/a>.\n<\/p>\n About Amazon<\/strong><\/p>\n \nAmazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth\u2019s Most Customer-Centric Company, Earth\u2019s Best Employer, and Earth\u2019s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon. For more information, visit amazon.com\/about<\/a> and follow @AmazonNews.\n<\/p>\n View source version on businesswire.com: <\/span>https:\/\/www.businesswire.com\/news\/home\/20210715005761\/en\/<\/a><\/span><\/p>\n \nAmazon.com, Inc. KEYWORDS:<\/b> United States North America Washington<\/p>\n INDUSTRY KEYWORDS:<\/b> Technology Research Practice Management Networks Other Health Internet Health Data Management Science<\/p>\n<\/p>\n
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