|
ProviderIQ Platform Components
|
|
100% HIPAA Compliant, ProviderIQ provides the most comprehenisve data management solution for Cancer related dieseases. Improve Clinical Performance. Improve Patient Care. Respond quickly with centralized "Patient Centric" data management. |
|
|
Manage your patients, analyze risk and search your entire enterprise all in real-time
In today’s information-based climate, worker productivity and the speed at which they make decisions can be directly linked to what types of information and data visualization tools they have at their fingertips The Clinical Setting, Research Laboratory and Executive Planning & Administrations Levels all benefit when they have access to current data at the time of decision making.
Facilitating this agile decision-making are new technologies and designs helping decision makers harness the vast pools of data available in the enterprise. For new methods to reach their full potential a commitment must be made at all levels of the organization.
To implement these new technologies and harness the results obtained by these tools, a new model is needed to streamline the process of data collection, reporting & visualization so every member of the organization is able to leverage a shared information resource.
Why are new models & technologies needed to help facilitate decision-making in Cancer Care?
Today more people than ever are using software tools to deal with multiple sources of information.
However with these new tools there’s often too much information, in too many places, for workers to keep track of. To make matters worse inefficient & non-compliant Data Sharing is reampent.
Key patient identifiers are often shared among personal not normally authorized to view such data. There are few auditing methods built into data visualization tools, leaving them outside HIPPA complaint protocols. Disconnected islands of data. Years of technology turnover, unstructured data documents and other factors have left a great deal of valuable corporate data locked up in disparate, “siloed” information systems. Lack of business process integration. In most cases there is no centralized data structure or support network members can leverage to eliminate the need to pass documents back and forth. Lack of data sharing productivity tools. By failing to share slices of data among trusted team members, a tremendous amount of time is wasted gathering data to analyze. By switching a organization’s focused to team-based data sharing applications, members can focused on problem solving rather than data collection. Flexible Infrasturecure Providing Real-Time Integillence
How do we solve these challenges facing agile decision-making? Solving these key challenges might be easier than one thinks, if an organization is committed to capture important business information in a way that allows it to be reused in other documents or business processes, regardless of servers, applications or platforms.
We do this by creating a centralized data center that can customize the data output from multiple data-sources, depending on the user, organization or problem to be solved. By keeping data sources in a centralized structured environment, data is easier to manipulate, search and reuse information. Additional the following benefits will be achieved by using centralized structured environment to support decision-making processes:
Easy exchange of data. Data can be distributed in a variety of formats including XML, HTML, Excel, or custom data streams. Bridging the gap between disparate and otherwise incompatible systems. Simple reuse of data. Reuse of information eliminates the need to rekey or recode data, and thereby reduces the time required and errors generated in repurposing information. Easily searchable information. By having “all the data in one place” , speeds the querying and report generation process. Also, allowing questions to be asked that normally would not be possible do to departmental boundaries. Different views of the same data. Because a centralized data structure separates content from its presentation, the same information can be used in different environments, formats, applications and devices, depending on the needs of the user. Rapid solution development. With a centralized data structured stored using industry-standard data formats, business applications can be written from the ground up by developers, or even generated by experienced users, more quickly and easily.
Connecting People, Data and Business Processes
Up to this point, you might have started to get a picture of our Integrated Business Intelligence Decision Making Model. The model focuses on bringing together people, information and processes.
Specifically how can this model benefit other Cancer Centers.
Increase the current Clinical Trial Network’s efficiency at which they report and disseminate information.
Increase the Clinical Teams performance allowing for the reduction of reporting requirements by high-level knowledge workers.
Increase meaningful collaboration and protocol development among members utilizing a HIPPA compliant de-identified shared information resource. This includes linked data resources for Imaging Analysis, Gene Expression & Molecular Diagnostic Markers, Treatment Information, Adverse Events and Summary Business Intelligence Reports. Unitize an auditable HIPPA compliant infrastructure allowing de-identified data to be reused at all administrative levels and business processes, regardless of servers, applications or platforms.
|
