Stanford researchers say telemedicine optimization needs interoperability and training

Health and Wellness Informatics News

In the latest journal of American Medical Informatics Association articles, scientists have highlighted all the gaps in telemedicine and in its growth beyond the crisis of pandemics.

Researchers of Stanford, Ran Sun, Tina Hernandez – Boussard, and Douglas W. Blayney have seen firsthand how telemedicine surged during the pandemic. The rapid growth in care mentioned in the American Medical Informatics Association discusses the best way of using telemedicine. It suggests telemedicine optimization through better training and interoperability. There are some of the best ways to manage diseases through telemedicine.

For patient and provider experience optimization with telemedicine, stakeholders need to focus on the enhancement of technology, usability, and interoperability. They need to provide proper training for the efficient use of telemedicine.

This team has noted that it is not at all possible that the care will go back to pre-pandemic simplicity. The policymakers and informaticists need to take action on developing an optimal care model for telemedicine.

The guidelines for this purpose are highly necessary to step into a large agenda. It will ultimately help to assess the effectiveness of telemedicine and ethics regulation for better care delivery.

The components that must include in a model need to be very clear-cut. It should include support for secure multidisciplinary consults across the team of care. There must be proper optimization of patient and clinician experience. It will also include provider training. There should be metrics for embedded quality, value, and patient-reported outcomes.

Researchers also put their stress upon the imperatives to identify and incorporate possible solutions for addressing the needs of people. Policies and infrastructure must facilitate telemedicine access to improve the system. Steady access to computers and the unavailability of them is creating the main chasm here.

Also, it is vital to note that telehealth is not appropriate all the time. Thus inclusion of AI technologies can help better to match the right form of care for patients. Future works must include the identification of an optimal formula to leverage a hybrid care model. Also, it must combine both in-person and virtual visits to create a better care experience.

Due to this huge increase in the use of telehealth, the data around its outcome is very necessary. The implementation of telehealth requires the support of clinical trials. It will also lead to seamless integration for telemedicine.

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