{"id":639,"date":"2025-03-19T13:12:31","date_gmt":"2025-03-19T13:12:31","guid":{"rendered":"https:\/\/baseballatheart.org\/?p=639"},"modified":"2025-07-31T12:47:22","modified_gmt":"2025-07-31T12:47:22","slug":"clinical-legal-and-ethical-aspects-of-artificial","status":"publish","type":"post","link":"https:\/\/baseballatheart.org\/index.php\/2025\/03\/19\/clinical-legal-and-ethical-aspects-of-artificial\/","title":{"rendered":"Clinical, Legal, and Ethical Aspects of Artificial Intelligence Assisted Conversational Agents in Health Care Health Policy JAMA"},"content":{"rendered":"<h1>The Effectiveness of Artificial Intelligence Conversational Agents in Health Care: Systematic Review PMC<\/h1>\n<p><img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/www.metadialog.com\/wp-content\/uploads\/2022\/12\/ai-customer-support-2.webp\" width=\"302px\" alt=\"conversational ai in healthcare\"\/><\/p>\n<p>And integrating gen-AI platforms with other hospital systems, such as billing systems, may lead to inefficiencies and erroneous expenses if done incorrectly. Given the potential for gen AI to come up with potentially inaccurate answers, it will remain critical to keep a human in the loop. Generative AI in healthcare offers the potential to formulate personalized treatment plans by analyzing vast patient datasets. Combined with conversational AI, it promises to elevate  the patient experience, merging immediate communication with tailored healthcare insights. AI tools are instrumental in reducing the administrative burden on healthcare providers. Scheduling appointments, managing  patient records, and processing insurance claims become more efficient.<\/p>\n<div style='border: black solid 1px;padding: 10px;'>\n<h3>Meditech leader: AI should automate tasks and augment clinical decision making &#8211; Healthcare IT News<\/h3>\n<p>Meditech leader: AI should automate tasks and augment clinical decision making.<\/p>\n<p>Posted: Mon, 23 Oct 2023 07:00:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMic2h0dHBzOi8vd3d3LmhlYWx0aGNhcmVpdG5ld3MuY29tL25ld3MvbWVkaXRlY2gtbGVhZGVyLWFpLXNob3VsZC1hdXRvbWF0ZS10YXNrcy1hbmQtYXVnbWVudC1jbGluaWNhbC1kZWNpc2lvbi1tYWtpbmfSAQA?oc=5' rel=\"nofollow\">source<\/a>]<\/p>\n<\/div>\n<p>Entities provide more context to intent and thereby help bots address more scenarios with just one sentence structure. In effect, they help bots scale up the scope coverage with the same model and amount of training data. \u201chealth screening\u201d, \u201cmedical checkup\u201d, and \u201cpremium screening\u201d \u2013 all these words can be said to fall under the \u201chealth screening\u201d entity. So, grouping these questions under a single Intent allows the bot to easily identify a user\u2019s intention and in turn, give a relevant response.<\/p>\n<h2>Historical evolution of chatbots in healthcare<\/h2>\n<p>Future research should also include more qualitative evaluations of the features that users like and dislike. Only half (18\/31) of the studies included in this review reported specific user feedback, despite the fact that 7 of the remaining 13 studies included some measure of <a href=\"https:\/\/www.metadialog.com\/healthcare\/\">conversational ai in healthcare<\/a> usability or user perceptions. It will be important to identify all of the structural, physical, and psychological barriers to use if conversational agents are to achieve their potential for improving health care provision and reducing the strain on health care resources.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"data:image\/jpeg;base64,PEhUTUw+PEhFQUQ+CjxUSVRMRT5BY2Nlc3MgRGVuaWVkPC9USVRMRT4KPC9IRUFEPjxCT0RZPgo8SDE+QWNjZXNzIERlbmllZDwvSDE+CiAKWW91IGRvbid0IGhhdmUgcGVybWlzc2lvbiB0byBhY2Nlc3MgImh0dHAmIzU4OyYjNDc7JiM0NztncmF5JiM0NTt3ZGJqJiM0NTtwcm9kJiM0NjtjZG4mIzQ2O2FyY3B1Ymxpc2hpbmcmIzQ2O2NvbSYjNDc7cmVzaXplciYjNDc7djImIzQ3O0ZRWVdVQ1A1WDVPQVhCUjdJUUtWNFVDRVJFJiM0NjtqcGciIG9uIHRoaXMgc2VydmVyLjxQPgpSZWZlcmVuY2UmIzMyOyYjMzU7MTgmIzQ2OzhlNmVkNDE3JiM0NjsxNzA3MTYxMjI4JiM0NjsxZjVkOGNjZAo8L0JPRFk+CjwvSFRNTD4K\" width=\"303px\" alt=\"conversational ai in healthcare\"\/><\/p>\n<p>But it is the connected ecosystem comprising all these devices that enable features like the smooth Handoff, calendar, podcast and iBook syncing, fitness data sharing and so on. Conversational AI platforms and vendors will therefore have to work with the hospital management and IT stakeholders to design solutions with their unique KPIs in mind. Thus, examples are used to train the bot to recognise the different ways a specific intent may be expressed, so that it can provide the right response.<\/p>\n<h2>Google Chrome Warning Issued For All Windows Users<\/h2>\n<p>When AI systems are used for research or data analysis, it\u2019s crucial to anonymize patient data. This means stripping away personally identifiable information to ensure that individual patients cannot be traced from the data. Techniques like differential privacy can be employed, where the AI analyzes patterns in the data without exposing individual data points, further safeguarding patient privacy. Beyond diagnosis assistance, IBM Watson has been used in personalizing patient care plans, especially in oncology, by analyzing a vast array of medical literature and patient data to suggest tailored treatment options.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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