Clinical consultations using store-and-forward telemedicine technology.

Prior research has shown that telemedicine can improve access to specialty care, but gaps remain in evaluating specific models like store-and-forward (SAF) systems. Established knowledge includes the use of face-to-face consultations as the gold standard for diagnostic accuracy. This gap motivated a pilot study to assess SAF's viability in specialty referrals. No prior work had resolved how SAF systems integrate with existing clinical workflows. SAF systems were proposed as a solution to reduce travel burdens for patients and streamline specialty care. However, the extent to which SAF can replicate the diagnostic quality of in-person visits was unclear. This paper's contribution lies in comparing SAF and FTF consultations across multiple specialties. The study aimed to determine if SAF could maintain diagnostic consistency while improving efficiency.

The aim was to evaluate SAF telemedicine as a tool for specialty consultations initiated by primary care physicians. The specific problem addressed was whether SAF could match face-to-face diagnostic outcomes while reducing logistical barriers. Motivation stemmed from the need to expand access to specialty care without compromising quality. The study focused on cardiology, dermatology, endocrinology, and orthopedics. Researchers sought to compare SAF and FTF consultations in terms of diagnostic accuracy and treatment recommendations. A secondary goal was to assess patient acceptance and workflow integration challenges. The study also aimed to identify barriers to SAF adoption in clinical settings. This pilot sought to inform future telemedicine system design and implementation.

The study used a mixed-methods approach combining clinical data and workflow analysis. Fifteen patients received both SAF and FTF consultations, while four had SAF-only echocardiograms. One patient had SAF only without FTF. Researchers collected data on diagnostic consistency and treatment recommendations. They also assessed workflow efficiency and integration with existing systems. A desktop SAF system was developed for data transmission. Researchers evaluated physician and staff workload changes. Patient feedback was gathered to assess acceptance and usability. The study also examined challenges in information packaging and referral processes.

Of 19 diagnoses, all matched between SAF and FTF consultations. Fourteen of 15 FTF consultations and 15 of 19 SAF consultations included additional treatment recommendations. Diagnostic consistency was maintained across specialties. SAF consultations did not compromise clinical accuracy. However, workflow integration proved problematic. Physicians and staff faced increased workloads. Information packaging was labor-intensive without full digital input. Patient acceptance was high despite small sample size. The study revealed unanticipated challenges in referral design and data gathering.

The authors found that SAF consultations matched FTF in diagnostic accuracy across four specialties. They proposed that SAF systems could maintain clinical quality while reducing travel burdens. However, they noted that workflow integration was not seamless. The researchers suggested that full digital input is essential for practical implementation. They highlighted the need for improved information packaging systems. Patient acceptance was a positive outcome, but sample size limitations remain. The authors proposed that further work is needed to streamline referral processes. They emphasized the importance of adapting SAF systems to existing clinical workflows.