Optimizing Telemedicine Programs using Clinical and Performance Data
Top performing networks rely on data-driven telemedicine to improve patient care, make key staffing decisions, identify opportunities for ongoing education, support community health initiatives and more. REACH Health has written this paper as the result of a four-month research project conducted with hospitals and healthcare systems using data from the REACH Health telemedicine platform to optimize the performance of their programs. Participants included physicians, telemedicine program directors and coordinators, data analysts and service line executives; and involved both telemedicine service providers and telemedicine service subscribers.
Data-Driven Telemedicine reviews a wide variety of performance and clinical data and how it is being used by these hospitals to improve program effectiveness and clinical treatment, as well as manage and guide staff, address community education needs, and justify and improve financial return.
- Monitoring and Improving Telemedicine Program Effectiveness
- Assessing and Improving Clinical Treatment
- Guiding and Managing Medical Staff
- Augmenting Population Health Management Initiatives
- Justifying Investments and Increasing Financial Returns
The full table of contents can be viewed, in detail, by clicking on the image to the right.
Putting data-driven telemedicine to work in your organization:
The wide variety of practical uses for clinical and performance telemedicine data covered in this paper can be put to use within your organization. For example, with in section two – Assessing and Improving Clinical Treatment, the method used by one hospital to reduced door-to-needle time is discussed.