Skip to main content

Future of Precision Healthcare

  • Chapter
  • First Online:
Precision Health and Artificial Intelligence

Abstract

Digital health technologies and AI are already creating intelligent processes and workflows that make healthcare delivery cheaper, more effective, personalized, and more equitable. Yet precision health seeks to go beyond this and improve patient management and diagnoses by understanding the human condition and experience deeper. Much of the emphasis has been placed on the potential for developing better medicines based on an increased understanding of disease pathology. Now that data and technology are readily available and affordable, improvements in diagnostics and support are enabling better patient management. The quantity and complexity of data reflect a patient’s genetics, environment, and lifestyle.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Belkacem, A.N., Jamil, N., Palmer, J.A., Ouhbi, S. and Chen, C., 2020. Brain computer interfaces for improving the quality of life of older adults and elderly patients. Frontiers in Neuroscience, 14, p.692.

  2. 2.

    Khan, M.L., Malik, A., Ruhi, U. and Al-Busaidi, A., 2022. Conflicting attitudes: Analyzing social media data to understand the early discourse on COVID-19 passports. Technology in Society, 68, p.101830.

  3. 3.

    Martínez-Alcalá, C.I., Rosales-Lagarde, A., Alonso-Lavernia, M.D.L.Á., Ramírez-Salvador, J.Á., Jiménez-Rodríguez, B., Cepeda-Rebollar, R.M., López-Noguerola, J.S., Bautista-Díaz, M.L. and Agis-Juárez, R.A., 2018. Digital inclusion in older adults: A comparison between face-to-face and blended digital literacy workshops. Frontiers in ICT, 5, p.21.

  4. 4.

    Slevin, P., Kessie, T., Cullen, J., Butler, M.W., Donnelly, S.C. and Caulfield, B., 2019. Exploring the potential benefits of digital health technology for the management of COPD: a qualitative study of patient perceptions. ERJ open research, 5(2).

  5. 5.

    Tarricone, R., Petracca, F., Cucciniello, M. and Ciani, O., 2022. Recommendations for developing a lifecycle, multidimensional assessment framework for mobile medical apps. Health Economics.

  6. 6.

    The Kings Fund (2022). NHS workforce: our position. [online] The King’s Fund. Available at: https://www.kingsfund.org.uk/projects/positions/nhs-workforce.

  7. 7.

    US Department of Labor announces $80M funding opportunity to help train, expand, diversify nursing workforce; address shortage of nurses | U.S. Department of Labor. [online] Available at: https://www.dol.gov/newsroom/releases/eta/eta20221003.

  8. 8.

    MacDonald, L. and Stayner, G. (2022). Hospital nurse Julie-Marie has worked in the industry for 20 years, but is thinking about quitting — and she’s not alone. ABC News. [online] 21 Jul. Available at: https://www.abc.net.au/news/2022-07-22/nursing-shortage-on-the-cards-due-to-pandemic/101253058.‌

  9. 9.

    Young, A. and Aquilina, A., 2021. Use of virtual reality to support rapid upskilling of healthcare professionals during COVID-19 pandemic. In XR Case Studies (pp.137–145). Springer, Cham.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Panesar, A. (2023). Future of Precision Healthcare. In: Precision Health and Artificial Intelligence. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-9162-7_6

Download citation

Publish with us

Policies and ethics