Realize the potential of healthcare data
For many healthcare organizations, data is housed across disparate sources and modalities, making it nearly impossible to gain holistic insights around patients. Google Cloud helps providers tackle their data interoperability challenges, and healthcare organizations realize the full potential of their data with data management solutions. Google Cloud’s Healthcare API is the engine for interoperability and can accelerate the ingestion, storage, and integration of key healthcare data types — including FHIR, HL7, and DICOM. By centralizing their data and using Google Cloud’s analytics and machine learning products, providers now have the power to unlock key data insights.
Open digital front doors
As healthcare costs continue to rise, the financial burden is increasingly placed on the patient. Consumers are more informed than ever and are demanding more flexible, personalized, and cost-effective care. To meet the growing demands from patients and caregivers, Google Cloud helps providers streamline patient intake forms and enhance multidisciplinary care coordination through G Suite, improve patient services with Contact Center AI and AI-enabled healthcare chat bots, engage patients with Chrome, and enable new types of doctor-patient communication via Google Hangouts Meet.
Moreover, Cloud Healthcare API and the Apigee Healthcare APIx bridge the gap between care systems and applications, helping healthcare organizations securely host and analyze patient data and simplify patient application development. The result? A care team informed with the latest information on the patient and solutions to better collaborate on patient care — both imperative in driving better patient experiences.
We do our part to help you protect patient data by offering comprehensive identity management, network security, and threat detection as well as response capabilities to protect your business against current and future threats. Read about Google’s support for HIPAA and HITRUST.
Get a pulse on patient populations
Providers in the modern era of healthcare are not only providing as-needed patient care, but also managing the ongoing care of an entire population. To do this, hospitals need to segment their populations, proactively assess their needs, identify gaps in the care delivery spectrum, and understand the risk of a patient needing care — in a cost-effective and efficient way. Robust analytics across multiple, often disparate, data sources can help, but many legacy data systems and infrastructure are not up to the task.
Google Cloud’s Healthcare API supports HIPAA compliance and enables providers to ingest large volumes of data in a more secure manner. Infrastructure modernization and data centralization offer the opportunity to run more holistic analyses and leverage smart analytics tools. For example, you could build a clinical data warehouse, use BigQuery, or Cloud ML Engine. Providers can risk stratify patient populations and provide insights and visualizations to tailor population health programs and preventative care offerings — helping them better manage risk and personalize care to patient populations. Google Cloud also already includes a number of public healthcare datasets such as the RxNorm and Medicare Utilization datasets.
Unify your healthcare data
In an increasingly competitive market, siloed and fragmented healthcare data hinders patient care and disrupts operational efficiency. Storing your organization's data in a way that is useful is the first step in enabling insights that can help provide a unified healthcare experience. With Google Cloud big data solutions, you can aggregate, store, and de-identify your data. Then connect your data to advanced Google Cloud capabilities with the Cloud Healthcare API.
Get insights to enhance clinical and operational decisions
The healthcare community faces two data challenges: quick analysis of large amounts of data and more effective insight gathering from diverse datasets, including clinical and operational decisions. With BigQuery, our fully managed serverless data warehouse, you can quickly find meaningful insights without having to manage infrastructure, keeping limited resources trained on patient care. By incorporating Google Cloud Platform and BigQuery into their analysis of swaths of patient data, the Foundation of Precision Medicine trains ML algorithms to help predict patterns and relationships that can indicate an Alzheimer's diagnosis — months or even years in advance of dementia symptoms. This kind of advance warning has the potential to raise the possibility of early treatment for millions of people.
Automate manual tasks with AI
The ability to apply artificial intelligence to patient data is an exciting new development. With Cloud Machine Learning Engine and TensorFlow, you can build and train custom models to identify populations, automatically detect patterns in patient data, and predict clinical outcomes. From helping diagnose prostate cancer with GCP to analyzing healthcare providers' reports with Cloud Natural Language, our AI products and platforms accelerate time to insight. New research such as Google's study in detecting diabetic retinopathy published in JAMA and Stanford University's study to identify skin cancer illustrate the promise of applying machine learning to imaging studies.
Empower clinicians and staff with secure productivity tools
In order to improve clinical outcomes, hospitals look for ways to collaborate both inside and outside of the hospital system. From G Suite cloud-based productivity tools to Chromebooks that enable caregivers to offer more seamless patient experiences, Google Cloud solutions make healthcare collaboration simple. Platforms that support HIPAA compliance enable patients to connect with doctors remotely and securely. Hunterdon Healthcare uses G Suite to improve productivity and collaboration, reclaiming 30% of caregivers’ time for patient interactions while reducing costs by $1.3 million over three years.
Build and manage patient- and provider-centric apps
As patient expectations for seamless care increase, interoperability of data sources is crucial. Cloud Healthcare API and the Apigee Healthcare APIx bridge the gap between care systems and applications, simplifying application development and device integration while supporting FHIR and DICOM standards. The result? A more informed and coordinated care team — an imperative in driving better patient outcomes.
Securing patient data
We do our part to help you protect patient data by offering comprehensive identity management, network security, and threat detection and response capabilities to protect your business against current and future threats. Both Google Cloud Platform (including the Cloud Healthcare API) and G Suite supports HIPAA compliance and are in scope for Google Cloud's ISO 27001, ISO 27017, and ISO 27018 certifications. In addition, Google Cloud Platform and G Suite are HITRUST CSF certified.
News and events
Join some of the brightest minds in tech for three days of networking, learning, and problem solving. Sign up for updates.
Exchange ideas with chief information officers and other senior healthcare IT leaders about the effective use of information management to improve health. Learn more.
Connect with the brightest minds in radiology as RSNA sets the stage for its annual meeting, the most important event in radiology. Registration opens in July.
Health tech is so old fashioned that Google had to adapt its cloud service to work with fax machines. Read the article.
Google Cloud to support radiology research with new partnership: 5 things to know. Read the report.
Highlights from Next ’18
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