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	<title>Global healthcare Archives - InnoHEALTH magazine</title>
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		<title>Are Healthcare Systems Leaning on Costly Verbal/EHR Communications akin to ECMO to Underpin Stability and Demanding Resilience?</title>
		<link>https://innohealthmagazine.com/2024/in-focus/are-healthcare-systems-leaning-on-costly-verbal-ehr-communications-akin-to-ecmo-to-underpin-stability-and-demanding-resilience/</link>
					<comments>https://innohealthmagazine.com/2024/in-focus/are-healthcare-systems-leaning-on-costly-verbal-ehr-communications-akin-to-ecmo-to-underpin-stability-and-demanding-resilience/#respond</comments>
		
		<dc:creator><![CDATA[Khushi Khandelwal]]></dc:creator>
		<pubDate>Tue, 03 Dec 2024 10:30:00 +0000</pubDate>
				<category><![CDATA[In Focus]]></category>
		<category><![CDATA[adaptive leadership]]></category>
		<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[communication breakdowns]]></category>
		<category><![CDATA[Global healthcare]]></category>
		<category><![CDATA[Healthcare Communication]]></category>
		<category><![CDATA[healthcare efficiency]]></category>
		<category><![CDATA[healthcare leadership]]></category>
		<category><![CDATA[healthcare systems]]></category>
		<category><![CDATA[kinesics]]></category>
		<category><![CDATA[nonverbal communication]]></category>
		<category><![CDATA[Patient care]]></category>
		<category><![CDATA[proxemics]]></category>
		<category><![CDATA[resilience]]></category>
		<guid isPermaLink="false">https://ztt.nrm.mybluehostin.me/innohealthmagazine?p=19298</guid>

					<description><![CDATA[<p>Dr. Kazim Ali &#8220;Nonverbal communication is any meaning conveyed through sounds, behaviors, and artifacts other than words.&#8221;Prof Bachner, Araceli It is imperative to reexamine and embrace the fundamental non-verbal communication...</p>
<p>The post <a href="https://innohealthmagazine.com/2024/in-focus/are-healthcare-systems-leaning-on-costly-verbal-ehr-communications-akin-to-ecmo-to-underpin-stability-and-demanding-resilience/">Are Healthcare Systems Leaning on Costly Verbal/EHR Communications akin to ECMO to Underpin Stability and Demanding Resilience?</a> appeared first on <a href="https://innohealthmagazine.com">InnoHEALTH magazine</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p><strong><mark style="background-color:rgba(0, 0, 0, 0);color:#a03622" class="has-inline-color">Dr. Kazim Ali</mark></strong></p>



<p><em>&#8220;Nonverbal communication is any meaning conveyed through sounds, behaviors, and artifacts other than words.&#8221;<strong>Prof Bachner, Araceli<br></strong></em></p>



<figure class="wp-block-image size-full is-resized"><img fetchpriority="high" decoding="async" width="842" height="596" src="https://innohealthmagazine.comwp-content/uploads/2024/12/Nonverbal-communication-100-min.jpg" alt="" class="wp-image-19307" style="width:971px;height:auto" srcset="https://innohealthmagazine.com/wp-content/uploads/2024/12/Nonverbal-communication-100-min.jpg 842w, https://innohealthmagazine.com/wp-content/uploads/2024/12/Nonverbal-communication-100-min-300x212.jpg 300w, https://innohealthmagazine.com/wp-content/uploads/2024/12/Nonverbal-communication-100-min-768x544.jpg 768w" sizes="(max-width: 842px) 100vw, 842px" /></figure>



<p>It is imperative to reexamine and embrace the fundamental non-verbal communication skills ingrained in us from birth. The million-dollar question lingers: Are we harnessing these innate abilities in our daily healthcare interactions? Consider the instinctive skills we possessed upon entering the world – the Plantar Grasp, Rooting Reflex, Moro (Startle) – all intricate non-verbal methods nature subtly imparted when verbal communication was beyond our grasp. Isn&#8217;t it time to rediscover and apply these primal concepts to bridge communication gaps in healthcare globally using nonverbal communication types (9) in number?</p>



<p><em>&#8220;Most messages are communicated through nonverbal means.&#8221;<strong>Prof Bachner, Araceli</strong></em></p>



<h2 class="wp-block-heading"><strong>Types of Non-verbal Communication</strong></h2>



<p>1. Kinesics body movement (i.e. hand gestures, eye contact)</p>



<p>2. Haptics touch (I.e. handshake or hug)</p>



<p>3. Appearance, Objects, and Artifacts body and surroundings (i.e. white coats, tattoos, jewelry, or hats)</p>



<p>4. Proxemics space (i.e., personal vs public)</p>



<p>5. Environment the space we occupy (i.e., decorations, color schemes)</p>



<p>6. Chronemics- time (i.e., early to a job interviewed Appointment or fashionably late to a party or late    for Code activation)</p>



<p>7. Paralanguage vocal qualities ( accents, volume)</p>



<p>8. Silence when we don&#8217;t use words or utterances.</p>



<p>Despite the breakdowns in global healthcare communication systems and Healthcare leadership&#8217;s silence for years resembles a state akin to being on costly Verbal/EHR ECMO backed by taxpayers’ money to help underpin stability.</p>



<p>For Sapiens, addressing the communication challenge is crucial for advancing the resilience and responsiveness of healthcare ecosystems worldwide.</p>



<p>Did Mr,Ms? COVID not exhibit an impressive operational triangle akin to healthcare systems utilizing processes resembling our (CPMs) for measurable outcomes? Its&nbsp; triumphs may be stemmed from prioritizing structural foundations to communicate with fellows nonverbally.</p>



<p>Was&nbsp; the fellow&nbsp; not achieving the SMART goals safely&nbsp; efficiently, effectively, timely with a human centric approach? Did the fellow not show resilience and adaptive resilience with adaptive leadership capabilities to the sapiens?</p>



<p>Don’t we call the fellow&#8217;s measures our IOM defined Quality measures in our current HC systems(Healing Hives with noise instead of melodies)to achieve extraordinary quality care outcomes?</p>



<p>Following a thorough review of Bachner, Araceli&#8217;s edited book &#8220;Introduction to Human Communication,&#8221;</p>



<p>I&#8217;ve drawn insightful connections to the realm of healthcare communications &amp; emphasized the&nbsp; need of an elemental patient centric resilient structure for resilient Nonverbal communication ways to push HC towards adaptive resilience to tackle such fellows and climate&nbsp;&nbsp;</p>



<p><strong>Author’s biography</strong></p>



<p><mark style="background-color:rgba(0, 0, 0, 0);color:#a03622" class="has-inline-color">Dr. Kazim Ali, a Harvard Medical School graduate student and PhD candidate in artificial and natural intelligence at the Kempner Institute, pioneers global healthcare solutions.</mark></p>



<p></p>
<p>The post <a href="https://innohealthmagazine.com/2024/in-focus/are-healthcare-systems-leaning-on-costly-verbal-ehr-communications-akin-to-ecmo-to-underpin-stability-and-demanding-resilience/">Are Healthcare Systems Leaning on Costly Verbal/EHR Communications akin to ECMO to Underpin Stability and Demanding Resilience?</a> appeared first on <a href="https://innohealthmagazine.com">InnoHEALTH magazine</a>.</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">19298</post-id>	</item>
		<item>
		<title>Effect of Language Models on Global Healthcare</title>
		<link>https://innohealthmagazine.com/2023/in-focus/effect-of-language-models-on-global-healthcare/</link>
					<comments>https://innohealthmagazine.com/2023/in-focus/effect-of-language-models-on-global-healthcare/#respond</comments>
		
		<dc:creator><![CDATA[InnoHEALTH magazine digital team]]></dc:creator>
		<pubDate>Thu, 10 Aug 2023 10:30:00 +0000</pubDate>
				<category><![CDATA[In Focus]]></category>
		<category><![CDATA[Biases in AI]]></category>
		<category><![CDATA[Clinical decision-making]]></category>
		<category><![CDATA[data privacy]]></category>
		<category><![CDATA[Drug discovery]]></category>
		<category><![CDATA[Epidemiology]]></category>
		<category><![CDATA[Ethical considerations]]></category>
		<category><![CDATA[Global healthcare]]></category>
		<category><![CDATA[Healthcare accessibility]]></category>
		<category><![CDATA[healthcare education]]></category>
		<category><![CDATA[healthcare transformation]]></category>
		<category><![CDATA[Language models]]></category>
		<category><![CDATA[Medical data analysis]]></category>
		<category><![CDATA[Medical imaging analysis]]></category>
		<category><![CDATA[Multilingual Support]]></category>
		<category><![CDATA[NLP-driven systems]]></category>
		<category><![CDATA[Patient communication]]></category>
		<category><![CDATA[patient outcomes]]></category>
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		<category><![CDATA[Regulatory compliance]]></category>
		<guid isPermaLink="false">https://ztt.nrm.mybluehostin.me/innohealthmagazine?p=18117</guid>

					<description><![CDATA[<p>Based on personal experience and knowledge of the healthcare industry trends, she believes that language models like ChatGPT have the potential to revolutionize global healthcare systems by providing new tools...</p>
<p>The post <a href="https://innohealthmagazine.com/2023/in-focus/effect-of-language-models-on-global-healthcare/">Effect of Language Models on Global Healthcare</a> appeared first on <a href="https://innohealthmagazine.com">InnoHEALTH magazine</a>.</p>
]]></description>
										<content:encoded><![CDATA[
<p>Based on personal experience and knowledge of the healthcare industry trends, she believes that language models like ChatGPT have the potential to revolutionize global healthcare systems by providing new tools to improve diagnosis and treatment, streamline healthcare operations, enhance patient communication, perform predictive analytics, and accelerate drug discovery. While the specific applications of language models will vary depending on the needs of each country, the potential benefits are significant and could help improve healthcare outcomes and reduce costs around the world. These models will significantly impact global healthcare systems starting in the near future, particularly in the areas of diagnosis, treatment, and medical research. Here are some potential ways in which ChatGPT and other similar models can be used in different types of countries:</p>



<p class="has-text-color" style="color:#164662;font-size:25px"><strong>Developing Countries:</strong></p>



<p>In developing countries, ChatGPT can help improve access to healthcare by providing remote consultations and diagnostics. For example, patients in rural areas may not have access to specialized doctors or medical facilities. ChatGPT can be used to provide remote consultations and connect patients with the appropriate medical professionals.</p>



<p>In addition, ChatGPT can be used to develop predictive models to identify outbreaks of diseases and track the spread of infectious diseases in real-time. This can help public health officials and medical professionals to respond quickly and effectively to prevent the spread of diseases.</p>



<p>One example of this is the use of ChatGPT to diagnose COVID-19. In collaboration with publicly and privately funded hospitals in such countries, chatbots have been developed that could assess a person&#8217;s risk of COVID-19 based on their symptoms and travel history. This helped to ease the burden on healthcare workers and enabled more people to access testing and care.</p>



<p class="has-text-color" style="color:#164662;font-size:25px"><strong>Third World Countries:</strong></p>



<p>In third world countries, ChatGPT can help address the shortage of medical professionals and lack of access to healthcare. ChatGPT can be used to provide basic health information, such as how to prevent diseases, manage chronic conditions, and address common health concerns. Additionally, ChatGPT can be used to develop predictive models to identify outbreaks of diseases and track the spread of infectious diseases in real-time.</p>



<p>One example of this is the use of ChatGPT in African countries to provide health information to people living in remote areas. In collaboration with the World Health Organization (WHO), a chatbot was developed that could provide information on a range of health topics, including HIV/AIDS, malaria, and maternal health. This helped to improve access to healthcare in areas where medical professionals are scarce.</p>



<p>Overall, ChatGPT and other language models have the potential to transform healthcare systems around the world by improving access to healthcare, enhancing the quality of care, and advancing medical research. However, it is important to consider the ethical and privacy implications of using AI in healthcare and ensure that these technologies are developed and deployed in a responsible manner.</p>



<p style="color: #a13621;"><em><strong> &#8220;Composed by: Ela Vashishtha, a healthcare analytics and planning leader at Texas Health Resources, USA, is driving data analytics and process improvement initiatives to address complex business challenges in healthcare. With a strong track record, she has successfully streamlined operations and improved healthcare efficiencies. Managing operational excellence for over 27 hospitals, she has spearheaded the implementation of real-time data monitoring and digital products, such as telehealth and remote patient monitoring. Ela&#8217;s expertise also includes the use of predictive tools for COVID and flu, as well as enhancing hospital quality indicators.&#8221;</strong></em></p>
<p>The post <a href="https://innohealthmagazine.com/2023/in-focus/effect-of-language-models-on-global-healthcare/">Effect of Language Models on Global Healthcare</a> appeared first on <a href="https://innohealthmagazine.com">InnoHEALTH magazine</a>.</p>
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