Platform development for Telehealth delivery
Despite being a leading cause of both death and disability in the United States, stroke continues to be an under-recognized and under-treated diagnosis. It is estimated that only half the U.S. population resides within an hour to a primary stroke center despite being responsible for 1 out of 20 deaths. Recently, the emergence of telestroke, a high quality system of care that uses two-way, audio-video technology, is seen as a potential solution to bridge the gap between stroke centers and underserved populations. During telestroke encounters, however, little attention has been given to data produced by software used to manage workflow, clinical information, and documentation. The electronic capture and storage of this data may greatly aid in describing the metrics of telestroke care.
The current technology is a software platform that can provide a template for workflows during a telemedicine encounter, as well as to capture key data elements that can provide measures of service utilization, performance, and quality. The software interface provides a way to document the discussion and standardize the flow of patient encounters. Specifically, the technology’s workflow provides a checklist of important facts to gather and will place those facts into an appropriate report, saving time and improving the quality of documentation related to each patient encounter. The platform can also provide the foundation for gathering information regarding preferred lines of communication to patients or their family for outcome capture. Furthermore, data can be tracked and queried in real time, allowing for reporting and monitoring of performance quality on a continuous basis. Furthermore, the technology generates statistically analyzed data based on medical and consultation communication data. The database created by the platform will also allow organization of quality surveys and outcomes data, providing a convenient source for service line data as a whole.
- Automates data capture in the background, thus reduces retrospective data extraction
- Automates the process of quality review and outcome assessment
- Significant cost savings because it does not require as many employees to manage the network
- Can an be applied to service line besides stroke
Duke File (IDF) Number
- Kolls, Bradley
- Olson, Daiwai
- Yang, Julian
- Yang JP, Wu TC, Tegeler C, Xian Y, Olson DM, Kolls BJ. (2013) Targeting telestroke: benchmarking time performance in telestroke consultations. J Stroke Cerebrovasc Dis. 22(4):470-5.
For more information please contact
- Gopalakrishnan, Karthik
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