Medical Expert Systems in Ambulance Care

المؤلفون

  • Omer S. M. Jomah Associate Professor, Computer and Control Engineering Department, The Libyan Academy, Tripoli, Libya
  • Musa Faneer Assistant Professor, Information Technology Department, The Libyan Academy, Tripoli, Libya 3 Collage of Electronic Technology, Bani Walid, Libya
  • Salleemah Abuhamrah Collage of Electronic Technology, Bani Walid, Libya

الكلمات المفتاحية:

Medical Expert System, First Aid, Ambulance Services, Healthcare Personnel, Knowledge-Based Systems, Emergency Medicine, Diagnosis and Treatment, Symptom Management, Medical Education

الملخص

Daily incidents significantly impact the workflow of ambulance and healthcare personnel, whose critical role involves providing immediate medical treatment and facilitating transportation to hospitals. This study presents the design of a medical expert system aimed at enhancing first-aid response in ambulances and educating users on fundamental first-aid principles. The proposed system integrates a comprehensive knowledge base that catalogs disease symptoms and corresponding treatments, functioning similarly to a medical professional's guidance. While the system relies on pre-programmed symptoms, it allows for the continuous addition of new symptoms and diseases, ensuring adaptability in emergencies. This expert system is particularly beneficial for novice healthcare providers, equipping them with reliable diagnostic support and improving patient outcomes during medical emergencies.

Dimensions

منشور

2024-10-25

كيفية الاقتباس

Omer S. M. Jomah, Musa Faneer, & Salleemah Abuhamrah. (2024). Medical Expert Systems in Ambulance Care. African Journal of Advanced Pure and Applied Sciences (AJAPAS), 3(4), 210–217. استرجع في من https://aaasjournals.com/index.php/ajapas/article/view/991

إصدار

القسم

Articles