Jasmine Muntasir
Dept. of Computer Science, American International University –Bangladesh
Tasnim Rahman
Dept. of Computer Science, Kuliyyah of Information Communication Technology, Islamic International University Malaysia, Gombak, Selangor, Malaysia.
Zahid Rauf
Dept. of Computer Science, American International University –Bangladesh
Luqman Arif
Dept. of Computer Science, Kuliyyah of Information Communication Technology, Islamic International University Malaysia, Gombak, Selangor, Malaysia.
ABSTRACT
AI's incorporation into medical laboratory procedures signifies a revolution in the way healthcare is provided. This research summarizes the main points covered in the in-depth investigation of Optimising Laboratory Workflow in Hospitals Using AI-Assisted Technologies. The quick development of AI technology presents previously unheard-of chances to solve problems in lab environments. This study explores the several advantages of integrating AI, highlighting how work automation and optimised procedures may boost productivity. AI algorithms' increased precision and accuracy lowers human error, improves overall patient care quality, and contributes to trustworthy diagnostic outcomes. AI has an influence on more than just operations; it also improves diagnostics, creates customised treatment plans, and allocates resources more efficiently. For measuring, the research used smart PLS software, and the run result included descriptive and correlation also present algorithm model between them. The conversation includes the possibility that artificial intelligence (AI) may transform drug development and lead to advances in medical medicines and treatments. AI systems' adaptable nature guarantees ongoing learning, allowing them to develop and adapt to new difficulties in the ever-changing healthcare industry. Long-term advantages of AI integration include cost savings, better patient experiences, and the ability to provide telehealth and remote monitoring despite the original expenditure. To fully utilise AI technology in laboratory operations, the research emphasises the importance of cooperation, continued study, and a dedication to ethical and legal issues. This presentation concludes by highlighting the revolutionary potential of AI in hospital laboratories and presenting it as a useful ally in the continuous endeavours to improve processes and raise the bar for healthcare delivery.
Keywords: Optimizing Laboratory Workflow (OLW), Hospitals (HH), AI-Assisted Technologies.
