Journal of World Future Medicine, Health and Nursing

INTEGRATING ARTIFICIAL INTELLIGENCE–ASSISTED CLINICAL DECISION SUPPORT IN NURSING PRACTICE: IMPACTS ON PATIENT SAFETY AND CARE QUALITY IN SMART HEALTHCARE SYSTEMS

2026-04-07T21:26:30+07:00

Artificial intelligence–assisted clinical decision support systems are increasingly integrated into smart healthcare environments, offering new opportunities to enhance patient safety and care quality while transforming nursing practice. Persistent challenges such as medical errors, delayed clinical responses, and variability in care highlight the need for effective decision support tools. This study aims to examine the impact of artificial intelligence-assisted systems on patient safety, care quality, and nursing decision-making processes. A mixed-methods design was employed, combining quantitative analysis of clinical indicators with qualitative insights from nurses across multiple hospital units. Data were collected from 120 nurses and corresponding patient records before and after system implementation, supported by surveys and interviews. Findings reveal significant reductions in medication errors and adverse events, alongside improvements in response time, care quality, and nurse decision confidence. Inferential analysis confirms that system usability and training significantly influence outcomes, while experience level moderates system effectiveness. The study concludes that artificial intelligence–assisted decision support enhances clinical performance by complementing nursing expertise and enabling data-driven decision-making. Effective integration depends on user readiness, organizational support, and alignment with clinical workflows, highlighting the need for human-centered implementation strategies in smart healthcare systems.

HISTOPATHOLOGICAL IMAGE OF THE NUMBER OF NEURONS IN THE BRAIN OF MICE (MUS MUSCULUS) INDUCED BY LEAD HEAVY METAL

2026-04-21T23:30:32+07:00

Lead is a known heavy metal from human history to date for various uses, abuses and toxicities. Lead poisoning has been recognized as one of the most serious environmental health issues worldwide, especially children living in developing countries. Lead can damage or affect the organs of the body, among others, the nervous system, kidneys, reproductive system, and heart, as well as disturbances in the brain so that intellectual and mental disorders in the brain. This study aims to see the effect of lead on the number of neurons in the hippocampus in mice experimental animals. The mice used amounted to 10 tails and divided into two for the control group and the treatment group. The control group, each of which was 5 tails, was then given unbleached drinking water while the treatment group was given drinking water mixed with acetate with concentration of 1000ppm for 17 days in adlibitum. The observations were taken from each of the 5 fields of view on each preparation with a magnification of 40x. The calculation of the number of neuron cells is then analyzed descriptive statistics and different test. The result showed that control group with mean ± SD were 127,6 ± 7,9, and for treatment group that was 80,0 ± 20,9. T independent test result showed p = 0,001 (p <0,05) which means that there was a significant difference between control and treatment group. The conclusion of this research is the existence of neuron cell damage in mice that get treatment. By showing the number of neurons less than the control mice. Suggestion to develop this research hence need to continue research to find neuro protector compound specially from lead work in brain.