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.
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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.
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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.
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Collaboration allows people to work together more closely, coordinate their efforts,
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.
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For the framework to successfully deliver cost-effective, integrative benefits,
it must enable comprehensive interoperability – both on-premise and in the cloud.
As a result, features including industry standards along with published interfaces
and information models are of critical importance. Connected, agile businesses require
solutions that integrate the workflows of the business workers and the systems they
use, their process and procedures, and the information those workers create and
manage as part of their work-day across all the upstream systems they interact with.
Dss Solutions offers many partner tools and technologies to help solve the interoperability
issues for our customers. Many of these tools and technologies follow open industry
standards, such as Simple Object Access Protocol (SOAP), OData and Web services.
Some of the technologies offer data-based integration and others offer document-based
integration or a hybrid of both. Some of the tools that Dss Solutions utilized and
offered by Microsoft that support a Connected Business include
BizTalk Server, Windows Azure Service
Bus, Windows Communication
Foundation.
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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.
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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.
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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.
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