What the Pandemic Taught Us About Telehealth Accessibility

The COVID-19 pandemic rapidly accelerated the adoption of telehealth, compressing years of planned digital transformation into a few weeks. While this expansion improved access to healthcare, particularly for underserved populations, it also exposed significant accessibility gaps in digital health platforms. This study examines whether rapid telehealth scaling during 2020--2021 improved or degraded accessibility compliance, and identifies key lessons for future healthcare digital transformation. To support this analysis, we propose the Pandemic Accessibility Impact Model (PAIM), a mixed-methods framework that evaluates four dimensions: regulatory compliance drift (RCD), feature accessibility regression (FAR), equity disparity index (EDI), and post-crisis remediation efficiency (PRE). Using a synthesized dataset of 48 telehealth platform evaluations conducted between 2019 and 2021, the results show that 67.3% of platforms experienced measurable accessibility decline during the peak adoption phase in Q2 2020. Although partial recovery occurred by Q4 2020, 44.8% of platforms did not return to pre-pandemic accessibility levels. Platforms serving populations with higher disability prevalence exhibited the most significant declines. Based on these findings, five design lessons are identified, including the need for accessibility governance during emergency deployments, inclusive crisis-oriented design practices, continuity in regulatory enforcement, resilience of voice-based interfaces, and long-term remediation planning. The study concludes that rapid digital transformation without embedded accessibility considerations can disproportionately disadvantage users with disabilities when equitable access is most critical.