Healthcare Violence and the Potential Promises and Harms of Artificial Intelligence

被引:0
|
作者
Kavanagh, Kevin T. [1 ]
Pontus, Christine [2 ]
Cormier, Lindsay E. [3 ]
机构
[1] Hlth Watch USA, Lexington, KY USA
[2] Massachusetts Nurses Assoc, Hlth Watch USA, Canton, MA USA
[3] Eastern Kentucky Univ, Hlth Watch USA, Lexington, KY USA
关键词
healthcare violence; AI; artificial intelligence; generative AI; robots; Ameca; patient intake; patient violence; diagnostic error; adverse events; nursing; surveillance; hospital security; automatous drones;
D O I
10.1097/PTS.0000000000001245
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Currently, the healthcare workplace is one of the most dangerous in the United States. Over a 3-month period in 2022, two nurses were assaulted every hour. Artificial intelligence (AI) has the potential to prevent workplace violence by developing unique patient insights through accessing almost instantly a patient's medical history, past institutional encounters, and possibly even their social media posts. De-escalating dialog can then be formulated, and hot-button topics avoided. AIs can also monitor patients in waiting areas for potential confrontational behavior.Many have concerns implementing AIs in healthcare. AIs are not expected to be 100% accurate, their performance is not compared with a computer but instead measured against humans. However, AIs are outperforming humans in many tasks. They are especially adept at taking standardized examinations, such as Board Exams, the Uniform Bar Exam, and the SAT and Graduate Record Exam. AIs are also performing diagnosis. Initial reports found that newer models have been observed to equal or outperform physicians in diagnostic accuracy and in the conveyance of empathy.In the area of interdiction, AI robots can both navigate and monitor for confrontational and illegal behavior. A human security agent would then be notified to resolve the situation. Our military is fielding autonomous AI robots to counter potential adversaries. For many, this new arms race has grave implications because of the potential of fielding this same security technology in healthcare and other civil settings.The healthcare delivery sector must determine the future roles of AI in relationship to human workers. AIs should only be used to support a human employee. AIs should not be the primary caregiver and a single human should not be monitoring multiple AIs simultaneously. Similar to not being copyrightable, disinformation produced by AIs should not be afforded 'free speech' protections. Any increase in productivity of an AI will equate with a loss of jobs. We need to ask, If all business sectors utilize AIs, will there be enough paid workers for the purchasing of services and products to keep our economy and society a float?
引用
收藏
页码:307 / 313
页数:7
相关论文
共 50 条
  • [21] Artificial intelligence - Realizing the ultimate promises of computing
    Waltz, DL
    AI MAGAZINE, 1997, 18 (03) : 49 - 52
  • [22] Beyond the sophomoric promises of artificial intelligence in medicine
    Saqr, Mohammed
    INTERNATIONAL JOURNAL OF HEALTH SCIENCES-IJHS, 2018, 12 (02):
  • [23] Artificial intelligence in hepatopancreaticobiliary surgery - promises and perils
    Boutros, Christina
    Singh, Vivek
    Ocuin, Lee
    Marks, Jeffrey M.
    Hashimoto, Daniel A.
    ARTIFICIAL INTELLIGENCE SURGERY, 2022, 2 (04): : 213 - 223
  • [24] Detecting deception with artificial intelligence: promises and perils
    Suchotzki, Kristina
    Gamer, Matthias
    TRENDS IN COGNITIVE SCIENCES, 2024, 28 (06) : 481 - 483
  • [25] Irrigation with Artificial Intelligence: Problems, Premises, Promises
    Hanyu Wei
    Wen Xu
    Byeong Kang
    Rowan Eisner
    Albert Muleke
    Daniel Rodriguez
    Peter deVoil
    Victor Sadras
    Marta Monjardino
    Matthew Tom Harrison
    Human-Centric Intelligent Systems, 2024, 4 (2): : 187 - 205
  • [26] Artificial Intelligence Pathologist: The use of Artificial Intelligence in Digital Healthcare
    Kaddour, Asmaa Ben Ali
    Abdulaziz, Nidhal
    2021 IEEE GLOBAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS (GCAIOT), 2021, : 31 - 36
  • [27] Artificial intelligence in diabetes management: transformative potential, challenges, and opportunities in healthcare
    Sarma, Arnabjyoti Deva
    Devi, Moitrayee
    HORMONES-INTERNATIONAL JOURNAL OF ENDOCRINOLOGY AND METABOLISM, 2025,
  • [28] Potential reduction in healthcare carbon footprint by autonomous artificial intelligence COMMENT
    Wolf, Risa M.
    Abramoff, Michael D.
    Channa, Roomasa
    Tava, Chris
    Clarida, Warren
    Lehmann, Harold P.
    NPJ DIGITAL MEDICINE, 2022, 5 (01)
  • [29] Overcoming Racial Harms to Democracy from Artificial Intelligence
    Overton, Spencer
    IOWA LAW REVIEW, 2025, 110 (02) : 805 - 866
  • [30] The downsides of artificial intelligence in healthcare
    Cordero Jr, Dalmacito
    KOREAN JOURNAL OF PAIN, 2024, 37 (01): : 87 - 88