PHEMI Health DataLab
Unlike most data management systems, PHEMI Health DataLab is built with Privacy-by-Design principles, not as an add-on. This means privacy and data governance are built-in from the ground up, providing you with distinct advantages:
Lets analysts work with data without breaching privacy guidelines
Includes a comprehensive, extensible library of de-identification algorithms to hide, mask, truncate, group, and anonymize data.
Creates dataset-specific or system-wide pseudonyms enabling linking and sharing of data without risking data leakage.
Collects audit logs concerning not only what changes were made to the PHEMI system, but also data access patterns.
Automatically generates human and machine-readable de- identification reports to meet your enterprise governance risk and compliance guidelines.
Rather than a policy per data access point, PHEMI gives you the advantage of one central policy for all access patterns, whether Spark, ODBC, REST, export, and more
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Netsmart KPI Dashboards
KPI Dashboards™, which provides data visualization for clinical and financial data, allows users to create user-defined views, filter aggregated data by program type, client access, and more. Staff members can view performance regularly and can make changes to these key data points through performance or clinical outcomes. Your organization can thus make steady, measurable progress towards well-defined goals. Our healthcare benchmarking tools allow you to compare your organization's financial, clinical and operational performance metrics. Secure data exchange allows you to track individual services and treatments across care settings, reducing duplicate services and simplifying care transitions. Care coordination solutions connect organizations with a network of providers. They also support secure data sharing across large interoperability frameworks like Carequality and local health information exchanges (HIEs).
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Oracle Healthcare Analytics
Cloud analytics and data science technologies are used to analyze healthcare data and create new AI applications. Develop evidence-based care models, and learn how to improve the patient experience and clinician satisfaction. Reduce healthcare costs and improve the health of the population. Oracle Autonomous Data Warehouse (or cloud data warehouse) eliminates the complexity of managing a data warehouse, developing data-driven apps, and maintaining security and database management. With a seamless integrated set of data preparation, data ingestion, and machine learning (ML), you can store, manage, and use your data quickly. Your insights can be used to create evidence-based care models and precision medicine models. Give executives, analysts, IT staff and other staff the ability to access business intelligence wherever they are, at home or at work. Automated data preparation and built in ML can jump-start your analysis.
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Own Data
Owning your SaaS-data is easy with the Own Data platform. It allows you to ensure availability, compliance and security of mission critical data, and unlocks new opportunities to transform your business. SaaS applications help make data more secure, accessible, and safer. They have not increased its value for you. It's no secret that your business is more complex than ever, and managing and getting insights out of your data is not easy. You are limited by what your SaaS providers allow you to do with your data. Understanding data exposure risks will help you to strengthen your Salesforce security posture. Protect your data using automated backups, proactive notifications in the event of loss or corruption and easy-to use recovery tools. Seed quality data quickly into any sandbox, sub-prod, or development environment for testing, training, and development purposes. Archive outdated data from production environments in order to avoid overage costs, improve the performance, and ensure compliance.
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