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Data-Driven Telemedicine

Posted on: November 22nd, 2016 by Laura Cotton

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.

 

The five key areas of telemedicine program optimization:Table of contents for the Data-Driven Telemedicine Whitepaper

  1. Monitoring and Improving Telemedicine Program Effectiveness
  2. Assessing and Improving Clinical Treatment
  3. Guiding and Managing Medical Staff
  4. Augmenting Population Health Management Initiatives
  5. 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.

Monitoring Clinical Quality of a Telemedicine Service Provider
Some telemedicine programs rely solely on in-house specialists to cover remote consultations. Many others rely on physician staffing organizations (PSO) to cover their telemedicine consultations or provide partial coverage, such as nights and weekends. When a PSO is used, it is critical for telemedicine program coordinators to monitor the performance and quality of the services being provided.
Additionally, partner facilities receiving telemedicine services should closely monitor the quality of the services provided. The reasons for closely monitoring the quality of telemedicine services are numerous. Hospitals receiving telemedicine services via REACH monitor a variety of emergency treatment quality indicators including:

  • Response times of individual specialists (on a case-by-case basis and in aggregate)
  • Average time elapsed from a specialist joining a consultation to a treatment decision being reached
  • Telemedicine diagnosis at the local partner facility and arrival diagnosis at the hub hospital for transferred patients.
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Data-Driven Telemedicine: Optimizing Telemedicine Programs using Clinical and Performance Data; Pg 11

Data-Driven Telemedicine provider response time chart

Register Here for a full copy of the Data-Driven Telemedicine Whitepaper.

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