- Enables every provider and consumer to obtain comprehensive health record reports, tailored to each person’s particular needs and authorization, which are comprised of information obtained from diverse sources and stored it in a uniform structure that can be used by just about any software application.
- Has minimal impact on existing I.T. systems and networks, so current operations can continue without disruption.
- Tailors instructional materials to end-users' particular needs by enabling competency-based and just-in-time eLearning, whereby the curriculum content delivered to an individual is determined by the person's current level of knowledge and/or particular knowledge needs.
- Allows people to obtain, compute, distribute and present information using only brief, occasional network connectivity, which reduces demands central servers, speeds reporting, increases mobility/portability, and enhances network "robustness" (i.e., the network keeps working even when individual nodes are disrupted, which is unlike central sever disruption that brings its entire network down).
- Enables loosely connected networks of individuals to share diverse experiences, data sources, information, knowledge, expertise, perspectives, ideas and insights, which increase innovation and more effective decision-making.
- Supports biomedical informatics, including managing healthcare delivery information, reducing medical errors, providing decision support for clinicians, extracting outcome and public health information from large datasets, and predicting health events.
- Supports bioinformatics, which involves managing and interpreting scientific research data.
Such a system would, for example, enable a primary care physician or specialist, with a few mouse clicks, to request information from every other clinician treating a patient. A software application residing on the computers of authorized clinicians obtains the requested information automatically from the clinicians’ EMR/EHR databases and sends it via encrypted e-mail attachments to the requester. As the e-mails are received, the information contained is integrated automatically into a composite interactive report, usable online and offline, which is organized and formatted as desired by the requesting physician. The system also supports clinical research and the evolution of evidence-based guidelines.
To see how a system like this would work, visit my new CP Split blog, which explains in somewhat technical terms how this asynchronous, publisher-subscriber, node-to-node architecture works, and how its patented underlying technology (which I invented after 18 years of R&D) provides many important benefits.