Leading an organizational culture change? Consider an apology first.

<p>"While patients, the workforce, and key outcomes are way better off in a culture of safety, the process from toxic to healthy culture requires a challenging shift from relationships rooted in distrust to trusting ones. To ensure long-term meaningful change, leaders must steadfastly create a foundation of trust.</p> <p>An apology that acknowledges poor behaviors have occurred, are hurtful, and will not be tolerated will help build trust and open hearts and minds to new ways of being. It will also model ownership and create rich opportunities for listening. All are integral to healthy cultures."</p> <p><a href="https://bethboynton.com/about-us/" target="_blank" rel= "nofollow external noopener noreferrer" data-wpel-link= "external">Beth Boynton</a> is a nurse and consultant.</p> <p>She shares her story and discusses her KevinMD article, "<a href="https://www.kevinmd.com/2022/10/leading-an-organizational-culture-change-consider-an-apology-first.html">Leading an organizational culture change? Consider an apology first</a>."</p> <p><a href="https://nuance.com/daxinaction"><img class= "alignnone wp-image-424286 size-medium" src= "https://www.kevinmd.com/wp-content/uploads/NuanceLogo_Horz_k-2-300x62.jpg" alt="" width="300" height="62" /></a></p> <p><em>The Podcast by KevinMD is brought to you by the <a href= "https://nuance.com/daxinaction">Nuance Dragon Ambient eXperience</a>.</em></p> <p><em>With a growing physician shortage, increasing burnout, and declining patient satisfaction, a dramatic change is needed to make health care more efficient and effective and bring back the joy of practicing medicine. AI-driven ambient clinical intelligence promises to help by revolutionizing patient and provider experiences with clinical documentation that writes itself.</em></p> <p><em>The <a href="https://nuance.com/daxinaction">Nuance Dragon Ambient eXperience</a>, or DAX for short, is a voice-enabled, ambient clinical intelligence solution that automatically captures patient encounters securely and accurately at the point of