Digitalizing healthcare faces hurdles: data silos persist, and medical staff often prefer paper records over digital platforms. Real-world evidence lags behind RCTs, hampering measurement effectiveness. DIGAs lack commercial models, creating isolated data landscapes that don't connect with ASW. Crucially, the primary source of clinical data, doctors' software systems, is overlooked. User dissatisfaction prevails due to high costs and hesitancy to switch. To advance, prioritizing seamless integration, addressing user preferences, and developing viable DIGA models are essential. A collaborative approach involving practitioners, tech developers, and policymakers is crucial for overcoming these challenges and unlocking digital healthcare's full potential.