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دومین کنگره انفورماتیک پزشکی و هفتمین همایش سلامت الکترونیک
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| عنوان فارسی |
بهبود زمان ارجاع و انتخاب بیماران با استفاده از طراحی یک سیستم تصمیم یار |
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| چکیده فارسی مقاله |
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| کلیدواژه‌های فارسی مقاله |
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| عنوان انگلیسی |
Improving lung transplantation referral time, indication and patient selection with designing a mobile based CDSS |
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| چکیده انگلیسی مقاله |
Background: Due to difficulty and complexity to determine the optimal time of patient referral, we decided to create the novel approach to help physicians with clinical decision support system (CDSS) to decide with no hesitate to refer patients to the transplantation center. Timely referral is too important that it can affect the final result and patient survival. Materials and Method: Since specifying this gold time is very complicated, we determined required data set from LTX guideline. Then, we applied decision tree with expert consultation to achieve the best way in determining optimal referral time and selecting an appropriate patient with considering different diseases, symptoms, life style and different other related factors. This application designed in the Android platform with use of the Android studio software. Results: We extracted more than 25 essential data sets and finally we can designed more than 30 rules to design our knowledgebase. The physician should consider different factors in complex decision making process for transplantation. This application can guide and assist the physician in decision making process and all factors available in the form of check boxes, lists, suggestion and comments.Thus; he will be sure no factors will be unregarded and can make decisions with high confidence.Therefore, this application would be favored by physicians in the future. Conclusion: Referring and selecting patients in the best and appropriate time in selected patients for lung transplantation could improve survival and quality of life. As guidelines can assist pulmonologists in defining the optimal referral time but using guidelines are complex and time consuming, with using this expert system which is available any time, we can improve the quality of selection appropriate patients for lung transplantation and decrease mortality in transplant centers. |
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| کلیدواژه‌های انگلیسی مقاله |
ارجاع بیماران, سلامت همراه, پیوند ریه, سیستم های تصمیم یار |
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| نویسندگان مقاله |
لیلا شاهمرادی | leila shahmoradi
tehran university of medical sciences
دپارتمان مدیریت اطلاعات سلامت، دانشکده پیراپزشکی ،دانشگاه علوم پزشکی تهران
سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)
حمیدرضا ابطحی | hamidreza abtahi
2- associate professor, department of pulmonary medicine, thoracic research center, tehran university of medical sciences,tehran, iran
مرکز تحقیقات بیماریهای ریوی، دانشکده پزشکی، دانشگاه علوم پزشکی تهران
سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)
مرسا غلامزاده | marsa gholamzadeh
master student in medical informatics, tehran university of medical sciences, tehran, iran.
دپارتمان مدیریت اطلاعات سلامت، دانشکده پیراپزشکی ،دانشگاه علوم پزشکی تهران
سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)
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| نشانی اینترنتی |
http://mieh-2018.modares.ac.ir/browse.php?a_code=A-10-47-1&slc_lang=fa&sid=1 |
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| کد مقاله (doi) |
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| زبان مقاله منتشر شده |
en |
| موضوعات مقاله منتشر شده |
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