Current and Future Trends in Healthcare Quality Control and Improvement

Healthcare is an important part of human health and provides services that promote, maintain and improve health. Quality improvement aims to provide quality care that is accessible to all, regardless of socioeconomic, cultural, and financial considerations. Rigorous procedures and methods should be established to improve treatment. Artificial intelligence and machine learning are used to improve diagnosis and treatment planning, including telemedicine, remote monitoring, electronic medical records, and research. However, international inequalities in healthcare, patient participation and health literacy, workforce shortages, resource availability and urine technology pose serious problems. With the use of electronic health records (EHR), electronic medical records (EMR), and remote patient care (RPM), decision-making and monitoring site analysis become more efficient and reliable. Big data leverages AI for diagnosis, prognosis, and treatment planning. Cloud-based data security enables innovation in healthcare by re-encrypting and keeping patient data private. AI plays a key role in early detection of terminal illnesses, personalized medical services, and studying patterns in biological diseases. Research on quality healthcare, such as access to surgery, hospital-based care, and data-driven approaches to overcoming inefficiencies, health equity, demonstrate the importance of solving these problems. This study suggests that technology-based AI will continue to improve healthcare by replacing administrative tasks, collaborating in hospitals, and providing preventive treatment.