<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>healthcare professional wellbeing &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/healthcare-professional-wellbeing/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Tue, 26 Aug 2025 12:27:25 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.0</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>healthcare professional wellbeing &#8211; Science</title>
	<link>https://scienmag.com</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">73899611</site>	<item>
		<title>Modeling Suicidal Ideation: Perfectionism, Loneliness, Thought</title>
		<link>https://scienmag.com/modeling-suicidal-ideation-perfectionism-loneliness-thought/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Tue, 26 Aug 2025 12:27:25 +0000</pubDate>
				<category><![CDATA[Psychology & Psychiatry]]></category>
		<category><![CDATA[academic stress and mental health interventions]]></category>
		<category><![CDATA[empirical studies on suicide prevention]]></category>
		<category><![CDATA[healthcare professional wellbeing]]></category>
		<category><![CDATA[interventions for student mental health]]></category>
		<category><![CDATA[Iranian medical students mental health]]></category>
		<category><![CDATA[loneliness and psychological distress]]></category>
		<category><![CDATA[negative thinking patterns and suicide risk]]></category>
		<category><![CDATA[perfectionism and mental health]]></category>
		<category><![CDATA[prevalence of suicidal thoughts in healthcare]]></category>
		<category><![CDATA[psychological factors influencing suicidal ideation]]></category>
		<category><![CDATA[structural equation modeling in psychology]]></category>
		<category><![CDATA[suicidal ideation in medical students]]></category>
		<guid isPermaLink="false">https://scienmag.com/modeling-suicidal-ideation-perfectionism-loneliness-thought/</guid>

					<description><![CDATA[A groundbreaking new study has illuminated the intricate psychological dynamics contributing to suicidal ideation among medical students in Iran, offering critical insights that could reshape mental health interventions in highly demanding academic environments. This research leverages advanced structural equation modeling (SEM) to unpack the nuanced roles of perfectionism, repetitive negative thinking, and feelings of loneliness [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>A groundbreaking new study has illuminated the intricate psychological dynamics contributing to suicidal ideation among medical students in Iran, offering critical insights that could reshape mental health interventions in highly demanding academic environments. This research leverages advanced structural equation modeling (SEM) to unpack the nuanced roles of perfectionism, repetitive negative thinking, and feelings of loneliness in the mental health struggles facing future healthcare professionals. With medical students worldwide grappling with intense stress and psychological pressures, these findings resonate far beyond Iran’s borders, demanding urgent attention from academic institutions and mental health policymakers alike.</p>
<p>Suicidal ideation—the contemplation or consideration of taking one’s own life—has alarmingly surged among medical students, with an estimated prevalence of approximately 25% globally. The Iranian medical student cohort studied here paints an even grimmer picture: more than 70% of participants reported experiencing suicidal thoughts. This stark statistic underscores the critical need for empirical studies that explore not just prevalence, but underlying psychological contributors that could guide effective intervention strategies.</p>
<p>The study, conducted at Shahid Beheshti University of Medical Sciences (SBMU) in Tehran, utilized a convenience sample of 505 medical students in 2024. Through extensive psychometric assessments, the research team applied the Tehran Multidimensional Perfectionism Scale (TMPS), Beck Scale for Suicidal Ideation (BSSI), Repetitive Negative Thinking Questionnaire (RNTQ), and UCLA Loneliness Scale (UCLA-LS) to gather robust data reflecting various cognitive and emotional dimensions. These tools collectively offered a panoramic view of the students’ mental landscape, enabling researchers to construct a sophisticated SEM framework that details causal and mediation pathways.</p>
<p>Crucially, the research reveals that perfectionism, while often regarded as a motivating personality trait, can paradoxically heighten vulnerability to suicidal ideation—not directly, but indirectly through its influence on repetitive negative thinking and loneliness. This distinction challenges simplistic assumptions and emphasizes the layered psychological mechanisms that mediate distress among perfectionistic individuals. The statistical model affirmed that perfectionism alone did not predict suicidal ideation; rather, it operated through the amplification of maladaptive thought patterns and social disconnection, both potent contributors to suicidal risk.</p>
<p>Repetitive negative thinking (RNT), a cognitive process characterized by persistent, intrusive, and hard-to-control negative thoughts, emerged as a significant mediator. This aligns with existing psychological literature linking RNT to a spectrum of mental health disorders such as depression and anxiety, both of which are established risk factors for suicidal ideation. By identifying RNT as a central thread in the causal chain, the study directs attention to cognitive interventions that could disrupt these ruminative cycles, potentially alleviating the distress that escalates toward suicidal thoughts.</p>
<p>Feelings of loneliness, independently and alongside RNT, further compounded the risk. Loneliness, often underestimated in clinical settings, profoundly impacts emotional regulation and resilience. Among medical students juggling intense academic demands and social pressures, a perceived lack of meaningful connections can exacerbate vulnerabilities. The study’s findings reinforce a growing call within mental health research to prioritize social integration and community-building as preventive components against suicidality.</p>
<p>Quantitatively, the combined model of perfectionism, repetitive negative thinking, and loneliness accounted for 30% of the variance in suicidal ideation among the studied medical students. This statistical strength, represented by an R² of 0.301, signals a substantial explanatory power, highlighting these psychological traits as critical targets for clinical assessment and therapeutic intervention. The model’s excellent goodness of fit further attests to its validity and applicability.</p>
<p>These findings bear direct implications for clinical practice and policy formulation. Psychotherapists working with medical students exhibiting perfectionistic tendencies are urged to assess and address not only overt symptoms of distress but also underlying cognitive patterns like RNT and subjective feelings of social isolation. Psychotherapeutic modalities such as cognitive-behavioral therapy (CBT) and mindfulness-based interventions, known to effectively reduce repetitive negative thinking, may hold particular efficacy in this population.</p>
<p>Moreover, institutional policies must evolve to incorporate mental health screenings that identify at-risk students early, integrating targeted group interventions that foster social connection and resilience. Universities might consider structured peer-support programs, resilience training, and stress management workshops to buffer against the isolating effects of loneliness and rumination inherent to perfectionism.</p>
<p>In a high-stakes environment where medical students are groomed to save lives, ignoring the psychological toll exacted by perfectionism and related cognitive-emotional processes would be a disservice to future healthcare providers and the communities they serve. This research not only advances theoretical understanding but also resonates as an urgent call to action, affirming that mental health care for medical students must be as rigorous and prioritized as their academic training.</p>
<p>While the study is geographically focused on Iranian medical students, its broader implications extend globally, particularly as the pursuits of perfectionism and experiences of academic stress are virtually universal in medical education. Replicating this SEM approach in diverse cultural and institutional contexts could further refine prevention strategies, tailoring them to specific population dynamics while reinforcing core principles uncovered here.</p>
<p>The methodology exemplifies a rigorous application of structural equation modeling, a statistical technique adept at testing complex causal models involving multiple latent variables. By capturing indirect relationships and mediational effects, SEM surpasses traditional correlational analyses, providing richer and more actionable insights into psychological interdependencies affecting suicidal ideation.</p>
<p>In conclusion, this seminal study illuminates how perfectionism’s dark side manifests through repetitive negative thinking and loneliness, fueling suicidal ideation among medical students. As academic institutions grapple with rising rates of student distress, these insights furnish a critical roadmap for integrated mental health strategies that marry cognitive therapy with social support mechanisms. Such holistic approaches promise to safeguard the mental well-being of medical students, ensuring that the healers of tomorrow are themselves protected from psychological harm today.</p>
<hr />
<p><strong>Subject of Research</strong>: Suicidal ideation among medical students, focusing on the mediating roles of perfectionism, repetitive negative thinking, and feelings of loneliness.</p>
<p><strong>Article Title</strong>: Structural equation modeling of suicidal ideation among medical students in Iran: the role of perfectionism, repetitive negative thinking and feelings of loneliness.</p>
<p><strong>Article References</strong>:<br />
Oskouei, A.H., Sardarzehi, R., Zarchi, M.S.Z. <em>et al.</em> Structural equation modeling of suicidal ideation among medical students in Iran: the role of perfectionism, repetitive negative thinking and feelings of loneliness. <em>BMC Psychiatry</em> 25, 823 (2025). <a href="https://doi.org/10.1186/s12888-025-07275-4">https://doi.org/10.1186/s12888-025-07275-4</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
<p><strong>DOI</strong>: <a href="https://doi.org/10.1186/s12888-025-07275-4">https://doi.org/10.1186/s12888-025-07275-4</a></p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">69175</post-id>	</item>
		<item>
		<title>Ambient Documentation Technologies Alleviate Physician Burnout and Rekindle Joy in Medical Practice</title>
		<link>https://scienmag.com/ambient-documentation-technologies-alleviate-physician-burnout-and-rekindle-joy-in-medical-practice/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Thu, 21 Aug 2025 16:06:35 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[ambient documentation technologies]]></category>
		<category><![CDATA[clinical documentation efficiency]]></category>
		<category><![CDATA[electronic health record integration]]></category>
		<category><![CDATA[Emory Healthcare findings]]></category>
		<category><![CDATA[generative artificial intelligence in healthcare]]></category>
		<category><![CDATA[healthcare professional wellbeing]]></category>
		<category><![CDATA[improving clinician experience]]></category>
		<category><![CDATA[Mass General Brigham study]]></category>
		<category><![CDATA[physician burnout solutions]]></category>
		<category><![CDATA[reducing physician fatigue]]></category>
		<category><![CDATA[transformative healthcare technologies]]></category>
		<category><![CDATA[virtual scribes in medicine]]></category>
		<guid isPermaLink="false">https://scienmag.com/ambient-documentation-technologies-alleviate-physician-burnout-and-rekindle-joy-in-medical-practice/</guid>

					<description><![CDATA[A groundbreaking study helmed by researchers at Mass General Brigham has brought to light the promising role of ambient documentation technologies in alleviating physician burnout, a rampant issue plaguing healthcare professionals across the United States. These ambient documentation tools leverage advanced generative artificial intelligence to act as virtual scribes, autonomously capturing the intricacies of patient [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>A groundbreaking study helmed by researchers at Mass General Brigham has brought to light the promising role of ambient documentation technologies in alleviating physician burnout, a rampant issue plaguing healthcare professionals across the United States. These ambient documentation tools leverage advanced generative artificial intelligence to act as virtual scribes, autonomously capturing the intricacies of patient visits and drafting comprehensive clinical notes for physician review prior to integration into electronic health record (EHR) systems. This innovation represents a leap forward in clinical documentation efficiency, tackling one of the principal drivers of physician fatigue and dissatisfaction.</p>
<p>The comprehensive research, recently published in the prestigious journal <em>JAMA Network Open</em>, involved surveying over 1,400 physicians and advanced practice providers across two major healthcare systems: Mass General Brigham in Boston and Emory Healthcare in Atlanta. The findings were compelling, revealing a 21.2% absolute reduction in burnout prevalence at Mass General Brigham within 84 days of ambient documentation technology adoption. Similarly, Emory Healthcare clinicians reported a 30.7% increase in wellbeing related to documentation processes after 60 days, underscoring the transformative potential of these AI-driven tools on clinician experience.</p>
<p>Physician burnout, a phenomenon characterized by emotional exhaustion, depersonalization, and a diminished sense of personal accomplishment, currently affects more than half of U.S. doctors. Among its multifaceted causes, excessive time spent managing EHRs—especially outside of scheduled clinical hours—has emerged as a critical contributor. The cognitive burden of completing detailed appointment notes not only extends the workday but also detracts from direct patient care, compounding the stress and dissatisfaction experienced by providers.</p>
<p>Ambient documentation technology addresses these challenges by capturing and transcribing patient encounters nearly in real-time, thereby significantly reducing physicians’ reliance on manual note entry and post-visit documentation tasks. As Rebecca Mishuris, MD, MPH, MS, chief medical information officer at Mass General Brigham, explains, this technology “has been truly transformative in freeing up physicians from their keyboards to have more face-to-face interaction with their patients.” Such liberation from extensive clerical duties allows clinicians to reclaim their time and, crucially, their passion for medical practice.</p>
<p>Beyond quantitative reductions in burnout scores, qualitative feedback from pilot study participants highlighted a resurgence in professional joy and enhanced patient engagement. Users reported more meaningful contact with patients and families and described the technology as having the capacity to “fundamentally change the experience of being a physician.” Nevertheless, the technology is not without its limitations—some clinicians noted that it could prolong the note-writing process or offer less utility in certain specialties or visit types, indicating areas where further refinement is essential.</p>
<p>The pilot studies involved rigorous survey designs to gauge changes in clinician experience over time. At Mass General Brigham, 873 physicians and advanced practice providers were surveyed at baseline, 42 days, and 84 days post-adoption, albeit with response rates diminishing to 22% at the final checkpoint. All 557 Emory Healthcare pilot users were surveyed pre-implementation and after 60 days, with a response rate of 11%. Despite these response limitations—suggesting that the most enthusiastic users may have been overrepresented—the data consistently demonstrated significant improvements in burnout metrics and documentation-related wellbeing, affirming the technology’s potential.</p>
<p>Since the inception of Mass General Brigham’s ambient documentation initiative in July 2023, the program has seen a remarkable scale-up from a modest cohort of 18 physicians to over 3,000 providers actively using the technology by April 2025. The pilot initially tested two distinct ambient documentation platforms, and ongoing iterations reflect continuous enhancements driven by user feedback and advances in the underlying large language models (LLMs) that power these AI agents. Such evolution is expected to improve usability and expand applicability across diverse clinical contexts.</p>
<p>The positive implications of ambient documentation technology extend beyond individual clinician wellbeing. Burnout has been linked to adverse patient outcomes, including increased risk of medical errors and reduced access to care due to provider turnover and absenteeism. Lisa Rotenstein, MD, MBA, director of The Center for Physician Experience and Practice Excellence at Brigham and Women’s Hospital, emphasizes the wider significance of this research, stating that the technology “provides a scalable solution worth further study” in the nationwide effort to protect both healthcare workers and their patients.</p>
<p>Future research efforts will focus on elucidating the longitudinal impact of ambient documentation technologies on burnout rates, clinical efficiency, and patient care quality. Researchers aim to determine whether initial gains in clinician wellbeing persist as the technology becomes more embedded in routine clinical workflows or if any attenuation or reversal of benefits occurs over time. Additionally, expansion plans within Mass General Brigham intend to extend ambient documentation tools beyond physicians to include other healthcare professionals such as nurses, therapists, and speech-language pathologists, thereby broadening the scope of impact.</p>
<p>This emerging technology represents an intersection of artificial intelligence, clinical informatics, and human-centered design, embodying a new paradigm in healthcare delivery. Jacqueline You, MD, MBI, the study’s lead author and a digital clinical lead at Mass General Brigham, highlights the tangible real-world benefits experienced by providers, noting that “stories of providers being able to call more patients or go home and play with their kids without worrying about notes are powerful,” underscoring the profound personal and professional transformation made possible by ambient documentation.</p>
<p>Crucially, while ambient scribing AI holds great promise in reducing documentation burdens, the researchers acknowledge the necessity of continued scrutiny and iterative development. The technology seamlessly blends natural language processing, speech recognition, and contextual data analysis through sophisticated large language models—a technical sophistication that necessitates ongoing validation to ensure accuracy, privacy, and clinical appropriateness.</p>
<p>In conclusion, as healthcare systems worldwide grapple with the escalating crisis of provider burnout, ambient documentation technologies shine as a beacon of hope, embodying the potential to reclaim clinician time, enhance job satisfaction, and ultimately improve patient care experiences. This study offers robust evidence that AI-driven ambient scribes constitute not merely a technological convenience but a critical, scalable intervention capable of reshaping the future of medicine.</p>
<hr />
<p><strong>Subject of Research</strong>: People</p>
<p><strong>Article Title</strong>: Ambient Documentation Technology in Clinician Experience of Documentation Burden and Burnout</p>
<p><strong>News Publication Date</strong>: 21-Aug-2025</p>
<p><strong>Web References</strong>:</p>
<ul>
<li><a href="https://www.massgeneralbrigham.org/">https://www.massgeneralbrigham.org/</a>  </li>
<li><a href="https://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2025.28056">https://jamanetwork.com/journals/jamanetworkopen/fullarticle/10.1001/jamanetworkopen.2025.28056</a></li>
</ul>
<p><strong>References</strong>:<br />
You, et al. “Impact of ambient documentation technology on physician and advanced practice provider experience.” <em>JAMA Network Open</em>, DOI: 10.1001/jamanetworkopen.2025.28056</p>
<p><strong>Keywords</strong>: Artificial intelligence, Clinical medicine, Doctor patient relationship, Health care</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">67312</post-id>	</item>
	</channel>
</rss>
