Healthcare
Healthcare Analytics:
Data is growing and moving faster than healthcare organizations can consume it; 80% of medical data is unstructured and is clinically relevant. This data resides in multiple places like individual EMRs, lab and imaging systems, physician notes, medical correspondence, claims, CRM systems and finance. Getting access to this valuable data and factoring it into clinical and advanced analytics is critical to improving care and outcomes, incentivizing the right behavior and driving efficiencies.
Dss Healthcare Analytics Five Pillars
Through role-based productivity & insights, healthcare operators can draw insight from a vast amount of business-related data and maximize the productivity of workers. Capabilities include real-time analytics, which offers rich statistical and analysis packages for data mining, discovery, and reporting for diverse information faculties-customers, and complex event processing, via capabilities of Big Data Analytics on cloud or on premise, and using Complex Event Processing technology. Differing software tools and systems that workers use daily should be seamlessly integrated to allow for continuous importing and exporting of business data from one system to another in order to complete workflows. They should also be able to perform detailed ad-hoc data analysis and other business intelligence functions on their own and without, for example, having to define a report and request their IT to provide it for them using powerful, easy-to-use tools like Dashboards, Scorecards, KPI and custom reports, and in-memory fast access information. These principles also include methods for storage and master data management of repositories to capture and enable analysis of operational and business data – located on-premise, in the cloud, or a hybrid mixture of both.
By understanding enhanced user experience, the host Healthcare Company understands how participants experience the world and how technology fits into that experience. New technologies take advantage of rich user experience, intuitiveness and ease of use across a multitude of devices – from smart phones and tablets to PCs and expansive operations command centers. New programming technologies, such as Windows Presentation Foundation, Silverlight or HTML 5, are opening new possibilities for applications in the business domains that run on many form factors. Intuitive interfaces now feature rich, composite dashboards and are accessible from mobile devices. These interfaces also incorporate natural human interaction with the software allowing workers to use gestures, voice, and touch.
follow detailed business processes, and respond to events as they happen. The Healthcare industry will require even-greater collaboration to account for a globalized and evolving workforce, as well as increasingly complex and mission-critical exploration and production. Communications technology is keeping pace with today’s global and on-demand collaboration – including real-time communication networks, mobility, Web conference, voice over IP (VoIP), and of course, social media. Dss Solutions Collaboration services framework support them by utilizing Microsoft technologies that may include Lync, SharePoint and Office 365.
The framework Guiding Principles capture the need of an underlying technical infrastructure that at the foundational level enables many business processes. Principles of this infrastructure include scalable support for more users, larger models, and increased transaction volumes; securely deployed components, functionality, and information protected from unauthorized access or malicious attacks; and services that are location agnostic for anywhere deployment and which can be accessed on any device. Integration through messaging and database technology links together workflow, processes, and data optimization. Domain-specific infrastructure incorporates trade-specific infrastructure connections using unified communications to manage enterprise security. A secure, scalable, high-performance infrastructure should also take advantage of global high availability, app and data marketplaces and software as a service.
| Leading organizations are looking to improve business outcomes by predicting with confidence what will happen next, by analyzing the volume, variety and velocity of streaming data that flows all around us. Predictive analytics, coupled with big data technologies, can help your organization make smarter decisions to improve business outcomes. |
Dss Healthcare Analytics Advantages and Benefites
Solutions Advantages: Healthcare organizations are leveraging big data technology to capture all of the information about a patient to get a more complete view for insight into care coordination and outcomes-based reimbursement models, population health management, and patient engagement and outreach. Successfully harnessing big data unleashes the potential to achieve the following advantages for healthcare transformation.
- Improve generation performance
- Uncover hidden patterns and associations
- Enhance customer retention
- Improve cross-selling opportunities through personalized offers and experiences
- Maximize productivity and profitability by aligning people, processes and assets
- Reduce risk to minimize exposure and loss
Solutions Key Benefits:
- Take pre-emptive action before the onset of a life-threatening event
- Reduce medical emergencies by analyzing and better identifying early warning signs
- Monitor vital signs remotely and analyze them in conjunction with medical records
- Apply physiological data in clinical research to uncover symptoms and progression of illness
- Develop best practices from research to mitigate the effects of illness
Solutions Competitive Edge: Predictive analytics is a decisive competitive asset in many industries and a core element in the effort of all organizations to improve performance. Performance improvements and competitive advantage arise from classification models that allow decision makers to predict and optimize outcomes. The most effective approach to building a model rarely starts with the data; instead it originates with identifying the business opportunity and determining how the model can improve performance. With predictive analytics, decision makers can measure, and hence identify, radically more about their businesses, and directly translate that knowledge into improved decision making, increased performance, and greater opportunities for competitive advantage.