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Mucus and Movement

Live imaging of human bronchial cells growing in the lab tracks the relationship between the COVID-19 virus SARS-CoV-2 with mucus and ciliary action – wafting by the airway cells' hairy projections. Such muco-ciliary clearance (MCC) in life aims to protect against infection by moving mucus up to the throat for expulsion, keeping the airways open. This study finds that MCC initially facilitates SARS-CoV-2 infection but subsequently inhibits spread

Read the published research article here

Video from work by Mark E. Becker and colleagues

Department of Cell & Developmental Biology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA

Video originally published with a Creative Commons Attribution – NonCommercial – NoDerivs (CC BY-NC-ND 4.0)

Published in Nature Communications, November 2024

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  Navigating Change Management in Medicine: Unleashing the Potential of Digital Transformation in Private Practice

Introduction: The world of medicine is constantly evolving, driven by technological advancements and the need to improve patient outcomes. As the healthcare industry embraces digital transformation and artificial intelligence (AI), managing change becomes imperative to successfully navigate the transition. This article explores the significance of change management methodologies and modes in medicine, with a specific focus on private practice management, and highlights the implementation of these strategies within the healthcare landscape.

Change Management in Medicine: Change management in medicine refers to the structured approach used to prepare, support, and equip healthcare professionals to adopt and embrace changes effectively. This proactive approach helps to minimize resistance, maximize engagement, and ensure a smooth transition towards new practices, technologies, or workflows.

Private Practice Management: Private practices play a crucial role in healthcare, serving as independent entities that often embody agility and personalized care. For physicians running private practices, the challenges of change management can be particularly complex. Implementing new technologies or processes can disrupt established workflows and require significant adjustments from the entire practice, including physicians, administrative staff, and patients.

Digital Transformation and Artificial Intelligence: Digital transformation has revolutionized the healthcare landscape, streamlining processes, enhancing diagnostics, and improving patient care. With the advent of AI, applications like telemedicine, predictive analytics, and clinical decision support systems have become invaluable tools. However, embracing these technologies requires careful planning, effective change management, and strategic implementation to maximize benefits while minimizing disruption.

Change Management Methodologies and Modes: Several change management methodologies and modes have proven successful in various industries, including healthcare. One widely recognized framework is the Prosci ADKAR model, which focuses on the individual's transition throughout the change process. It encompasses Awareness, Desire, Knowledge, Ability, and Reinforcement, emphasizing the importance of addressing personal attitudes, behaviors, and skills when implementing change.

Implementation in Medicine and Private Practice: Implementing change management in medicine and private practice involves several key steps. Firstly, creating a shared vision and establishing clear goals help align stakeholders and foster a sense of purpose. Engaging physicians and other stakeholders early in the change process allows them to provide input, address concerns, and build a sense of ownership.

Communication plays a pivotal role in change management. Physicians and healthcare professionals need to be well-informed about the rationale behind the change, its potential benefits, and the expected impact on their workflows. Regular and transparent communication helps build trust, reduces uncertainty, and increases acceptance.

Training and education are vital to equip physicians and staff with the necessary skills to adapt to the new technologies and workflows. Investing in comprehensive training programs and providing ongoing support can significantly improve adoption rates and minimize resistance.

Moreover, monitoring and evaluating the implementation process is essential to identify areas of improvement and make necessary adjustments. Gathering feedback from physicians, staff, and patients allows for continuous refinement and optimization of the change management strategy.

Conclusion: Change management in medicine, particularly in private practice, is critical for successful digital transformation and the integration of AI technologies. By employing methodologies like the Prosci ADKAR model, Kotter's 8-Step Change Model , Lean Six Sigma and Agile Methodology healthcare professionals can navigate the complex landscape of change effectively. Embracing change requires a shared vision, open communication, comprehensive training, and continuous evaluation. With robust change management strategies, the healthcare industry can harness the full potential of digital transformation and AI, leading to improved patient care, enhanced efficiency, and better outcomes.