How Digital Health is Revolutionizing Healthcare and Contributing to Positive Health Outcomes
Abstract
Digital health has been instrumental in revolutionizing healthcare by ensuring continuity of care, personalizing care, reducing errors and wastage, improving diagnostic accuracy, providing clinicians with decision-making support, and facilitating treatment and care beyond the clinical setting. All these benefits improve the quality of care and lead to positive health outcomes. It also improves patient satisfaction with care. Digital health can also be used to address the challenges that are currently facing healthcare systems. For instance, digital health can help to address the challenge of limited access. Digital health can also help to address the increasing patient needs and demands. However, the integration of digital health in healthcare systems still remains a challenge. Privacy and confidentiality concerns are major issues. Because of the nature of data stored in these systems, security breaches can have negative outcomes on care. Accuracy and reliability of data are also issues of concern. Addressing these challenges can make healthcare systems realize the benefits of digital technologies.
Keywords: digital health, digital technologies, revolutionizing healthcare, positive patient outcomes
Keywords:
digital health, digital technologies, revolutionizing healthcare, positive patient outcomesDOI
https://doi.org/10.22270/jddt.v14i6.6640References
World Health Organization. Global strategy on digital health 2020-2025. 2021. Accessed Ma 23, 2024. Available from: https://iris.who.int/bitstream/handle/10665/344249/9789240020924-eng.pdf
Meskó B, Drobni Z, Bényei É, Gergely B, Győrffy Z. Digital health is a cultural transformation of traditional healthcare. Mhealth. 2017;3(38). https://doi.org/10.21037/mhealth.2017.08.07 PMid:29184890 PMCid:PMC5682364
Butcher CJ, Hussain W. Digital healthcare: the future. Future Healthcare Journal. 2022;9(2):113. https://doi.org/10.7861/fhj.2022-0046 PMid:35928188 PMCid:PMC9345235
Knebel E, Greiner AC, editors. Health professions education: A bridge to quality.
Shrank WH, DeParle NA, Gottlieb S, Jain SH, Orszag P, Powers BW, Wilensky GR. Health costs and financing: challenges and strategies for a new administration: Commentary recommends health cost, financing, and other priorities for a new US administration. Health Affairs. 2021;40(2):235-42. https://doi.org/10.1377/hlthaff.2020.01560 PMid:33476208
Figueroa CA, Harrison R, Chauhan A, Meyer L. Priorities and challenges for health leadership and workforce management globally: a rapid review. BMC Health Services Research. 2019;19:1-1. https://doi.org/10.1186/s12913-019-4080-7 PMid:31014349 PMCid:PMC6480808
Ronquillo Y, Meyers A, Korvek SJ. Digital Health. [Updated 2023 May 1]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024. Available from: https://www.ncbi.nlm.nih.gov/books/NBK470260/
Abernethy A, Adams L, Barrett M, et al. The promise of digital health: then, now, and the future. NAM Perspectives. 2022;2022. https://doi.org/10.31478/202206e PMid:36177208 PMCid:PMC9499383
Stoumpos AI, Kitsios F, Talias MA. Digital transformation in healthcare: technology acceptance and its applications. International Journal of Environmental Research and Public Health. 2023;20(4):3407. https://doi.org/10.3390/ijerph20043407 PMid:36834105 PMCid:PMC9963556
Bhavnani SP, Parakh K, Atreja A, et al., 2017 Roadmap for innovation-ACC health policy statement on healthcare transformation in the era of digital health, big data, and precision health: a report of the American College of Cardiology Task Force on Health Policy Statements and Systems of Care. Journal of the American College of Cardiology. 2017;70(21):2696-718. https://doi.org/10.1016/j.jacc.2017.10.018 PMid:29169478
Ozair FF, Jamshed N, Sharma A, Aggarwal P. Ethical issues in electronic health records: A general overview. Perspectives in Clinical Research. 2015;6(2):73-6. https://doi.org/10.4103/2229-3485.153997 PMid:25878950 PMCid:PMC4394583
Corridon PR, Wang X, Shakeel A, Chan V. Digital technologies: Advancing individualized treatments through gene and cell therapies, pharmacogenetics, and disease detection and diagnostics. Biomedicines. 2022 Sep 30;10(10):2445. https://doi.org/10.3390/biomedicines10102445 PMid:36289707 PMCid:PMC9599083
Alowais SA, Alghamdi SS, Alsuhebany N, et al. Revolutionizing healthcare: the role of artificial intelligence in clinical practice. BMC Medical Education. 2023 Sep 22;23(1):689. https://doi.org/10.1186/s12909-023-04698-z PMid:37740191 PMCid:PMC10517477
Dave P., The Role of Pharmacists in Opioid Addiction Management. Asian Journal of Dental and Health Sciences, 2024;4(1):51-56. https://doi.org/10.22270/ajdhs.v4i1.71
Hunter B, Hindocha S, Lee RW. The role of artificial intelligence in early cancer diagnosis. Cancers. 2022;14(6):1524. https://doi.org/10.3390/cancers14061524 PMid:35326674 PMCid:PMC8946688
Singh H, Graber ML, Hofer TP. Measures to improve diagnostic safety in clinical practice. Journal of Patient Safety. 2019;15(4):311-6. https://doi.org/10.1097/PTS.0000000000000338 PMid:27768655 PMCid:PMC5398940
Bright TJ, Wong A, Dhurjati R, et al. Effect of clinical decision-support systems: a systematic review. Annals of Internal Medicine. 2012;157(1):29-43. https://doi.org/10.7326/0003-4819-157-1-201207030-00450 PMid:22751758
Sutton RT, Pincock D, Baumgart DC, Sadowski DC, Fedorak RN, Kroeker KI. An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ Digital Medicine. 2020;3(1):17. https://doi.org/10.1038/s41746-020-0221-y PMid:32047862 PMCid:PMC7005290
Wasylewicz ATM, Scheepers-Hoeks AMJW. Clinical Decision Support Systems. 2018 Dec 22. In: Kubben P, Dumontier M, Dekker A, editors. Fundamentals of Clinical Data Science [Internet]. Cham (CH): Springer; 2019. Chapter 11. Available from: https://www.ncbi.nlm.nih.gov/books/NBK543516/ https://doi.org/10.1007/978-3-319-99713-1_11 PMid:31314237
Osheroff JA, Teich JM, Middleton B, Steen EB, Wright A, Detmer DE. A roadmap for national action on clinical decision support. Journal of the American Medical Informatics Association. 2007;14(2):141-5. https://doi.org/10.1197/jamia.M2334 PMid:17213487 PMCid:PMC2213467
Dave P, Addressing Disparities in Vision Health and Eye Care in the US. World Journal of Current Medical and Pharmaceutical Research, 2024;6(1):58-64, https://doi.org/10.37022/wjcmpr.v6i1.321
Garg AX, Adhikari NK, McDonald H, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. JAMA. 2005;293(10):1223-38. https://doi.org/10.1001/jama.293.10.1223 PMid:15755945
Lin B, Wu S. Digital transformation in personalized medicine with artificial intelligence and the internet of medical things. Omics: A Journal of Integrative Biology. 2022;26(2):77-81. https://doi.org/10.1089/omi.2021.0037 PMid:33887155
Chén OY, Roberts B. Personalized health care and public health in the digital age. Frontiers in Digital Health. 2021;3:595704. https://doi.org/10.3389/fdgth.2021.595704 PMid:34713084 PMCid:PMC8521939
Giansanti D. Precision Medicine 2.0: How digital health and AI are changing the game. Journal of Personalized Medicine. 2023;13(7):1057. https://doi.org/10.3390/jpm13071057 PMid:37511670 PMCid:PMC10381472
Subramanian M, Wojtusciszyn A, Favre L, Boughorbel S, Shan J, Letaief KB, Pitteloud N, Chouchane L. Precision medicine in the era of artificial intelligence: implications in chronic disease management. Journal of Translational Medicine. 2020;18:1-2. https://doi.org/10.1186/s12967-020-02658-5 PMid:33298113 PMCid:PMC7725219
Goodwin JS. Continuity of care matters in all health care settings. JAMA Network Open. 2021;4(3):e213842. https://doi.org/10.1001/jamanetworkopen.2021.3842 PMid:33760086
Jeffers H, Baker M. Continuity of care: still important in modern-day general practice. British Journal of General Practice. 2016;66(649):396-7. https://doi.org/10.3399/bjgp16X686185 PMid:27481958 PMCid:PMC4979920
Burton LC, Anderson GF, Kues IW. Using electronic health records to help coordinate care. The Milbank Quarterly. 2004;82(3):457-81. https://doi.org/10.1111/j.0887-378X.2004.00318.x PMid:15330973 PMCid:PMC2690228
Fontaine P, Ross SE, Zink T, Schilling LM. Systematic review of health information exchange in primary care practices. The Journal of the American Board of Family Medicine. 2010;23(5):655-70. https://doi.org/10.3122/jabfm.2010.05.090192 PMid:20823361
Dowding DW, Russell D, Onorato N, Merrill JA. Technology solutions to support care continuity in home care: a focus group study. The Journal for Healthcare Quality (JHQ). 2018;40(4):236-46. https://doi.org/10.1097/JHQ.0000000000000104 PMid:28885241 PMCid:PMC5832509
Mehraeen E, SeyedAlinaghi S, Heydari M, et al. Telemedicine technologies and applications in the era of COVID-19 pandemic: A systematic review. Health Informatics Journal. 2023;29(2):14604582231167431. https://doi.org/10.1177/14604582231167431 PMid:37076954 PMCid:PMC10116201
Haleem A, Javaid M, Singh RP, Suman R. Telemedicine for healthcare: Capabilities, features, barriers, and applications. Sensors International. 2021;2:100117. https://doi.org/10.1016/j.sintl.2021.100117 PMid:34806053 PMCid:PMC8590973
Tchero H, Kangambega P, Briatte C, Brunet-Houdard S, Retali GR, Rusch E. Clinical effectiveness of telemedicine in diabetes mellitus: a meta-analysis of 42 randomized controlled trials. Telemedicine and e-Health. 2019;25(7):569-83. https://doi.org/10.1089/tmj.2018.0128 PMid:30124394
O Parsonson A, Grimison P, Boyer M, et al. Patient satisfaction with telehealth consultations in medical oncology clinics: A cross-sectional study at a metropolitan centre during the COVID-19 pandemic. Journal of Telemedicine and Telecare. 2024;30(2):320-6. https://doi.org/10.1177/1357633X211045586 PMid:34657513
Kuziemsky C, Maeder AJ, John O, et al. Role of artificial intelligence within the telehealth domain. Yearbook of Medical Informatics. 2019;28(01):035-40. https://doi.org/10.1055/s-0039-1677897 PMid:31022750 PMCid:PMC6697552
Sharma S, Rawal R, Shah D. Addressing the challenges of AI-based telemedicine: Best practices and lessons learned. Journal of Education and Health Promotion. 2023; 1(1):338. https://doi.org/10.4103/jehp.jehp_402_23 PMid:38023098 PMCid:PMC10671014
Wienert J, Jahnel T, Maaß L. What are digital public health interventions? First steps toward a definition and an intervention classification framework. Journal of Medical Internet Research. 2022;24(6):e31921. https://doi.org/10.2196/31921 PMid:35763320 PMCid:PMC9277526
Kruse CS, Stein A, Thomas H, Kaur H. The use of electronic health records to support population health: a systematic review of the literature. Journal of Medical Systems. 2018; 2(11):214. https://doi.org/10.1007/s10916-018-1075-6 PMid:30269237 PMCid:PMC6182727
Alqaissi EY, Alotaibi FS, Ramzan MS. Modern machine-learning predictive models for diagnosing infectious diseases. Computational and Mathematical Methods in Medicine. 2022;2022. https://doi.org/10.1155/2022/6902321 PMid:35693267 PMCid:PMC9185172
Battineni G, Sagaro GG, Chinatalapudi N, Amenta F. Applications of machine learning predictive models in the chronic disease diagnosis. Journal of Personalized Medicine. 2020;10(2):21. https://doi.org/10.3390/jpm10020021 PMid:32244292 PMCid:PMC7354442
Kuwabara A, Su S, Krauss J. Utilizing digital health technologies for patient education in lifestyle medicine. American Journal of Lifestyle Medicine. 2020;14(2):137-42. https://doi.org/10.1177/1559827619892547 PMid:32231478 PMCid:PMC7092400
Hall AK, Cole-Lewis H, Bernhardt JM. Mobile text messaging for health: a systematic review of reviews. Annual Review of Public Health. 2015;36:393-415. https://doi.org/10.1146/annurev-publhealth-031914-122855 PMid:25785892 PMCid:PMC4406229
Whittaker R, McRobbie H, Bullen C, Rodgers A, Gu Y. Mobile phone‐based interventions for smoking cessation. Cochrane Database of Systematic Reviews. 2016; 4(4): CD006611. https://doi.org/10.1002/14651858.CD006611.pub4
Arambepola C, Ricci-Cabello I, Manikavasagam P, Roberts N, French DP, Farmer A. The impact of automated brief messages promoting lifestyle changes delivered via mobile devices to people with type 2 diabetes: a systematic literature review and meta-analysis of controlled trials. Journal of Medical Internet Research. 2016;18(4):e86. https://doi.org/10.2196/jmir.5425 PMid:27095386 PMCid:PMC4873307
Adler AJ, Martin N, Mariani J, et al. Mobile phone text messaging to improve medication adherence in secondary prevention of cardiovascular disease. Cochrane Database of Systematic Reviews. 2017;4(4): CD011851. https://doi.org/10.1002/14651858.CD011851.pub2 PMid:28455948 PMCid:PMC6478182
Bove LA. Increasing patient engagement through the use of wearable technology. The Journal for Nurse Practitioners. 2019;15(8):535-9. https://doi.org/10.1016/j.nurpra.2019.03.018
Lu L, Zhang J, Xie Y, et al. Wearable health devices in health care: narrative systematic review. JMIR mHealth and uHealth. 2020;8(11):e18907. https://doi.org/10.2196/18907 PMid:33164904 PMCid:PMC7683248
Ventola CL. Mobile devices and apps for health care professionals: uses and benefits. Pharmacy and Therapeutics. 2014;39(5):356.
Timmers T, Janssen L, Kool RB, Kremer JA. Educating patients by providing timely information using smartphone and tablet apps: systematic review. Journal of Medical Internet Research. 2020;22(4):e17342. https://doi.org/10.2196/17342 PMid:32281936 PMCid:PMC7186866
Nakhleh A, Spitzer S, Shehadeh N. ChatGPT's response to the diabetes knowledge questionnaire: implications for diabetes education. Diabetes Technology & Therapeutics. 2023;25(8):571-3. https://doi.org/10.1089/dia.2023.0134 PMid:37062754
Bates DW. Using information technology to reduce rates of medication errors in hospitals. BMJ. 2000;320(7237):788-91. https://doi.org/10.1136/bmj.320.7237.788 PMid:10720369 PMCid:PMC1117776
Alotaibi YK, Federico F. The impact of health information technology on patient safety. Saudi Medical Journal. 2017;38(12):1173. https://doi.org/10.15537/smj.2017.12.20631 PMid:29209664 PMCid:PMC5787626
Holmgren AJ, Newmark L, Danforth M, Classen D, Bates D. Assessing the safety of electronic health records: a national longitudinal study of medication-related decision support. BMJ Quality & Safety. 2020;29(1):52-9. https://doi.org/10.1136/bmjqs-2019-009609 PMid:31320497
Grande D, Marti XL, Feuerstein-Simon R, et al. Health policy and privacy challenges associated with digital technology. JAMA Network Open. 2020;3(7):e208285. https://doi.org/10.1001/jamanetworkopen.2020.8285 PMid:32644138 PMCid:PMC7348687
Paul M, Maglaras L, Ferrag MA, Almomani I. Digitization of healthcare sector: A study on privacy and security concerns. ICT Express. 2023;9(4):571-88. https://doi.org/10.1016/j.icte.2023.02.007
Meskó B, Drobni Z, Bényei É, Gergely B, Győrffy Z. Digital health is a cultural transformation of traditional healthcare. Mhealth. 2017;3:38 https://doi.org/10.21037/mhealth.2017.08.07 PMid:29184890 PMCid:PMC5682364
Butcher CJ, Hussain W. Digital healthcare: the future. Future Healthcare Journal. 2022;9(2):113. https://doi.org/10.7861/fhj.2022-0046 PMid:35928188 PMCid:PMC9345235
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