Timely access to innovative medical technologies driven by accelerated patient access pathways can substantially improve the health outcomes of patients who often have few therapeutic alternatives. We analyzed lead-times for the medical procedure reimbursement coverage process undertaken in South Korea from 2014 to 2017, which is considered one of the most important factors contributing to delays in patient access to new medical technologies.

This analysis was performed using the open datasets source of “Medical Procedure Expert Evaluation Committee (MPEEC)” meeting results and medical procedure coverage application information published on the Health Insurance Review and Assessment Service Web site.

From 2014 to 2017, 90 percent of all new coverage determinations took on average >250 days with almost 20 percent taking more than 2 years (>750 days), The average lead-time from the medical procedure coverage application to MPEEC meeting in 2015 was 435.0 ± 214.7 days (n = 26), which was significantly shorter than the average lead-time in 2014 (624.9 ± 290.3 days, n = 16) (p < .05). The average lead-time from application to official enforcement in 2015 was significantly shorter than that of 2014 (540.8 ± 217.4; n = 16 versus 734.1 ± 299.7 days; n = 26, respectively) (p < .05).

While this analysis showed a general trend of a reduction in the time taken to receive a positive coverage determination for a new medical technology, the average lead-time remains well over the government mandated 100 days. To continue this trend and further enhance the patient access pathway for medical procedure coverage determinations, some measures can be applied. In particular, the extended “One-Stop Service” program encompassing coverage determinations is one such recommendation that could be considered.

The purpose of this study was to evaluate the utilisation of a web-based multimedia patient-accessible electronic health record, for patients with congenital cardiac disease.

This was a prospective analysis of patients undergoing congenital cardiac surgery at a single institution from 1 September, 2006 to 1 February, 2009. After meetings with hospital administration, physicians, nurses, and patients, we configured a subset of the cardiac program’s web-based clinical electronic health record for patient and family access. The Electronic Health Record continuously measured frequency and time of logins, logins during and between hospitalisations, and page views by type (imaging versus textual data).

Of the first 270 patients offered access to the system, 252 became users (93% adoption rate). System uptime was 99.9%, and no security breaches were reported. Users accessed the system more often while the patients were in hospital (67% of total logins) than after discharge (33% of total logins). The maximum number of logins by a family was 440, and the minimum was 1. The average number of logins per family was 25. Imaging data were viewed significantly more frequently than textual data (p ⩽0.001). A total of 12 patients died during the study period and 11 members of their families continued to access their Electronic Health Records after the date of death.

A web-based Patient Accessible Electronic Health Record was designed for patients with congenital cardiac disease. The adoption rate was high, and utilisation patterns suggest that the Electronic Health Record could become a useful tool for health information exchange.