Hospital
بیمارستان
jhosp
Medical Sciences
http://jhosp.tums.ac.ir
211
godadmin
2008-1928
2228-7450
000
000
000
000
000
fa
jalali
1402
10
1
gregorian
2024
1
1
22
4
online
1
fulltext
fa
شناسایی و رتبهبندی ریسکهای استفاده از سیستمهای هوش مصنوعی در مدیریت پسماندهای بیمارستانی با استفاده از رویکرد تصمیمگیری چند شاخصه
(مطالعه موردی: بیمارستانهای دانشگاه علوم پزشکی زاهدان)
Identifying and Ranking the Risks of Using Artificial Intelligence Systems in Hospital Waste Management Using a Multi-Criteria Decision-Making Approach
A Case Study of Hospitals Affiliated with Zahedan University of Medical Sciences
سایر
سایر
مقاله ی اصیل
Original Article
<span style="font-size:11.5pt"><span style="line-height:110%"><span style="direction:rtl"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">زمینه و هدف</span></span></span></b><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">: یکی از کاربردهای اصلی هوش مصنوعی در حوزه مدیریت بهینه پسماندهای بیمارستانی است که به پیش</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">بینی حجم و نوع پسماندها می</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">پردازد. هدف این مطالعه، شناسایی و رتبه</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">بندی ریسک</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">های استفاده از سیستم</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">های هوش مصنوعی در مدیریت پسماندهای بیمارستانی با استفاده از رویکرد تصمیم</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">گیری چند شاخصه می</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">باشد.</span></span></span></span></span></span></span></span><br>
<span style="font-size:11.5pt"><span style="line-height:110%"><span style="direction:rtl"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">مواد و روش</span></span></span></b><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span></b><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">ها</span></span></span></b><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">: این مطالعه از نوع توصیفی و مقطعی است که در سال 1402 در دو بیمارستان علی ابن ابیطالب و خاتم</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">الانبیاء شهرستان زاهدان صورت گرفته است. تعداد 10 نفر از پرسنل این دو بیمارستان به عنوان اعضای خبره پنل دلفی انتخاب گردیدند که به منظور وزن</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">دهی ریسک</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">ها از روش آنتروپی شانون و جهت رتبه</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">بندی ریسک</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif">‎</span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar"">ها از روش تاپسیس استفاده گردید.</span></span></span></span></span></span></span></span><br>
<span style="font-size:11.5pt"><span style="line-height:110%"><span style="direction:rtl"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.1pt">نتایج</span></span></span></span></b><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.1pt">: در این مطالعه بهمنظور تعیین میزان اتفاقنظر میان اعضای پنل دلفی، از ضریب هماهنگی کندال استفاده شد. نتیجه ضریب کندال برای مرحله اول، دوم و سوم دلفی به ترتیب برابر با 3/6، 1/7 و 3/7 بود. وزن</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.1pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.1pt">دهی شاخص</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.1pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.1pt">ها با استفاده از مراحل روش آنتروپی شانون و بر اساس سه شاخص شدت تأثیر (3/0)، احتمال وقوع (4/0) و احتمال کشف (32/0) انجام پذیرفت. سپس جهت رتبه</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.1pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.1pt">بندی ریسک</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.1pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.1pt">های شناسایی</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.1pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.1pt">شده بر اساس روش تاپسیس مهم</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.1pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.1pt">ترین ریسک</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.1pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.1pt">ها به ترتیب زیرساخت</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.1pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.1pt">های لازم (847/0)، نیاز به داده</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.1pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.1pt">های دقیق و کامل (751/0) و بودجه (749/0) بودند.</span></span></span></span></span></span></span></span></span><br>
<span style="font-size:11.5pt"><span style="line-height:110%"><span style="direction:rtl"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.3pt">نتیجه</span></span></span></span></b><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.3pt">‎</span></span></span></span></b><b><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.3pt">گیری</span></span></span></span></b><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.3pt">: مدیران مراکز بهداشتی و درمانی با استفاده از روش</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.3pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.3pt">های تصمیم</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.3pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.3pt">گیری چند شاخصه قادر خواهند بود تا به شناسایی و رتبه</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.3pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.3pt">بندی ریسک</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.3pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.3pt">های استفاده از سیستم</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.3pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.3pt">های هوش مصنوعی در مدیریت پسماندهای بیمارستانی بپردازند و با توجه به اولویت</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"Times New Roman",serif"><span style="letter-spacing:-.3pt">‎</span></span></span></span><span lang="FA" style="font-size:12.0pt"><span style="line-height:110%"><span style="font-family:"B Zar""><span style="letter-spacing:-.3pt">ها، جهت تقویت مدیریت پسماندها بپردازند.</span></span></span></span></span></span></span></span></span><br>
<span style="font-size:11pt"><span style="line-height:normal"><span style="direction:rtl"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><sub><span lang="FA" style="font-size:13.0pt"><span style="font-family:"B Nazanin""></span></span></sub></span></span></span></span></span>
<span style="font-size:11.5pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="line-height:15.0pt"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:12.0pt"><span style="letter-spacing:-.3pt">Background and Purpose</span></span></b><span style="letter-spacing:-.3pt">:</span> Artificial intelligence (AI) plays a crucial role in the optimal management of hospital waste, particularly in predicting the volume and type of waste generated. This study aims to identify and rank the risks associated with the use of AI systems in hospital waste management by employing a multi-criteria decision-making approach<span dir="RTL" lang="FA" style="font-family:"B Zar"">.</span></span></span></span></span></span></span><br>
<span style="font-size:11.5pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="line-height:15.0pt"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><b><span style="letter-spacing:-.4pt">Methods</span></b><span style="letter-spacing:-.4pt">: This descriptive, cross-sectional study was conducted in 2023 (1402 in the Iranian calendar) at two hospitals, Ali Ibn Abitaleb and Khatam al-Anbiah, in Zahedan. Ten hospital staff members were selected as expert participants for the Delphi panel. The Shannon entropy method was utilized for risk weighting, </span><span style="letter-spacing:-.1pt">and the TOPSIS method was applied to rank the identified risks</span><span dir="RTL" lang="FA" style="font-family:"B Zar""><span style="letter-spacing:-.1pt">.</span></span><span style="letter-spacing:-.1pt"></span></span></span></span></span></span></span><br>
<span style="font-size:11.5pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="line-height:15.0pt"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><b><span style="letter-spacing:-.2pt">Results</span></b><span style="letter-spacing:-.2pt">: Kendall's coordination coefficient was used to assess the level of consensus among the Delphi panel members, with the coefficient values for the first, second, and third Delphi rounds being 6.3, 7.1, and 7.3, respectively. The indicators were weighted using the Shannon entropy method, based on three criteria: impact intensity (0.3), probability of occurrence (0.4), and detection probability (0.32). The TOPSIS method was then employed to rank the identified risks, with the most significant risks being the need for necessary infrastructure (0.847), the requirement for accurate and complete data (0.751), and budget constraints (0.749</span><span dir="RTL" lang="FA" style="font-family:"B Zar""><span style="letter-spacing:-.2pt">).</span></span><span style="letter-spacing:-.2pt"></span></span></span></span></span></span></span><br>
<span style="font-size:11.5pt"><span style="text-justify:kashida"><span style="text-kashida:0%"><span style="line-height:15.0pt"><span style="unicode-bidi:embed"><span style="font-family:Calibri,sans-serif"><b><span style="letter-spacing:-.2pt">Conclusion</span></b><span style="letter-spacing:-.2pt">: By applying multi-criteria decision-making methods, healthcare managers can effectively identify and prioritize the risks associated with using AI systems in hospital waste management, enabling them to focus on strengthening waste management practices based on these priorities</span><span dir="RTL" lang="FA" style="font-family:"B Zar""><span style="letter-spacing:-.2pt">.</span></span><span style="letter-spacing:-.2pt"></span></span></span></span></span></span></span>
هوش مصنوعی, پسماند بیمارستانی, رتبهبندی, ریسک, تصمیمگیری چند شاخصه
Artificial Intelligence, Hospital Waste, Risk Ranking, Multi-Criteria Decision Making
407
421
http://jhosp.tums.ac.ir/browse.php?a_code=A-10-1819-2&slc_lang=fa&sid=1
Mohammadreza
Shahraki
محمدرضا
شهرکی