Implementation of HealthQ Application

Abstract

HealthQ is a healthcare platform that is complete and takes a holistic approach to addressing the important need for enhancing healthcare services by reducing prescription errors and increasing efficiency processes for treatment. This versatile application provides a broad range of healthcare services. This includes services like digital prescriptions and diagnostics, e-consultations, e-pharmacy services, and accessibility to important health-related information. Mistakes in prescriptions and errors in prescribing can have a notable effect on patients, although they are not typically life-threatening protection and health. Prescription errors refer to unintentional mistakes in prescription writing may result in treatments that are not timely or effective and increase risks to patients ordering prescription medication. Deficiencies include irrational, inappropriate, inadequate prescription, excessive prescription, and inefficacy making recommendations for treatment, frequently as a result of incorrect medical assessments or choices in therapy. This problem highlighting the need for advancement in healthcare technologies like AI to enable empowerment consumers are encouraged to actively manage their own health. Furthermore, AI provides healthcare professionals with.

Country : India

1 Prof. Pooja Mishra2 Rutuja Bhujbal3 Tushar Singh

  1. Department of Computer Engineering, Dr. D. Y. Patil Institute of Engineering, Management and Research, Akurdi, Pune, India
  2. Department of Computer Engineering, Dr. D. Y. Patil Institute of Engineering, Management and Research, Akurdi, Pune, India
  3. Department of Computer Engineering, Dr. D. Y. Patil Institute of Engineering, Management and Research, Akurdi, Pune, India

IRJIET, Volume 8, Issue 5, May 2024 pp. 76-81

doi.org/10.47001/IRJIET/2024.805011

References

  1. World Health Org,(2022). Health Workforce: Data & statistics https://www.who.int/data.gho/data.themes/health-workforce.
  2. Bates, D. W., Cullen, D. J., Laird, N., Petersen, L. A., Small, S. D., Servi, D., ... & Hallisey, R. (1995). Incidence of adverse drug events and potential adverse drug events: Implications for prevention. JAMA, 274(1), 29-34.
  3. Ventola, C. L. (2014). Mobile devices and apps for health care professionals: Uses and benefits. Pharmacy and Therapeutics, 39(5), 356.
  4. Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
  5. Ashfaq, A., Tiwana, P., & Mehmood, W. (2021). Blockchain technology in healthcare: A systematic literature review. Sustainability, 13(18), 10166.
  6. Singh, R. P., Javaid, M., Haleem, A., & Suman, R. (2020). Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 521-524.
  7. Bradway, M., Gerard, M., Chemali, Z., & Gunning, D. (2022). Trustworthy patient-AI interaction: A review of current practice and challenges. arXiv preprint arXiv:2204.08396.
  8. Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56.
  9. Sidey-Gibbons, J. A., & Sidey-Gibbons, C. J. (2019). Telemedicine integrated into routine medical practice. BMJ, 364.
  10. Piette, J. D., Lun, K. C., Moura Jr, L. A., Fraser, H. S., Mechael, P. N., Powell, J., & Khoja, S. R. (2012). Impacts of e-health on the outcomes of care in low-and middle-income countries: Where do we go from here?. Bulletin of the World Health Organization, 90, 365-372.