Abstract
This study examines the use of electronic systems to improve health care for people with Down syndrome in the midst of fast-paced advancements in information technology. It notes that current systems often fail to fully recognize the intellectual abilities of individuals with Down syndrome, especially concerning their health needs. The research highlights the importance of health management information systems (HMIS) in managing patient information effectively. It suggests creating detailed databases that include essential details like diagnoses, analyses, reports, and specific patient information. The goal is to address ongoing health issues and ensure that health services are efficient and uphold high professional standards. This study points out the value of using existing health data for immediate analysis to move health services toward a more professional and electronic future. This work adds to the discussion on technology-driven health management, showing how information systems can be used to improve healthcare outcomes.
Publisher
International Journal of Advanced and Applied Sciences
Reference33 articles.
1. Berisha-Shaqiri A (2014). Management information system and decision-making. Academic Journal of Interdisciplinary Studies, 3(2): 19-23.
2. Bonaccio S, Connelly CE, Gellatly IR, Jetha A, and Martin Ginis KA (2020). The participation of people with disabilities in the workplace across the employment cycle: Employer concerns and research evidence. Journal of Business and Psychology, 35: 135-158.
3. Butler M, M Manzardo A, and L Forster J (2016). Prader-Willi syndrome: Clinical genetics and diagnostic aspects with treatment approaches. Current Pediatric Reviews, 12(2): 136-166.
4. Campbell BB (1997). Health management information systems in lower income countries: An analysis of system design, implementation and utilization in Ghana and Nepal. Ph.D. Dissertation, Royal Tropical Institute, Amsterdam.
5. Dash S, Shakyawar SK, Sharma M, and Kaushik S (2019). Big data in healthcare: Management, analysis and future prospects. Journal of Big Data, 6: 54.