GET THE APP

The Impact of mobile Health (mHealth) Applications on Medical Informatics
..

Journal of Health & Medical Informatics

ISSN: 2157-7420

Open Access

Perspective - (2024) Volume 15, Issue 1

The Impact of mobile Health (mHealth) Applications on Medical Informatics

Richard Qaleb*
*Correspondence: Richard Qaleb, Department of Medical Informatics, University of Harvard, Cambridge, USA, Email:
Department of Medical Informatics, University of Harvard, Cambridge, USA

Received: 01-Jan-2024, Manuscript No. jhmi-23-117867; Editor assigned: 02-Jan-2024, Pre QC No. P-117867; Reviewed: 17-Jan-2024, QC No. Q-117867; Revised: 23-Jan-2024, Manuscript No. R-117867; Published: 31-Jan-2024 , DOI: 10.37421/2157-7420.2024.15.514
Citation: Qaleb, Richard. “The Impact of mobile Health (mHealth) Applications on Medical Informatics.” J Health Med Informat 15 (2024): 514.
Copyright: © 2024 Qaleb R. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Introduction

Mobile Health applications have revolutionized the healthcare industry in recent years. These apps, typically designed for smartphones and other mobile devices, have transformed the way patients access medical information, interact with healthcare providers, and manage their own health. In addition to benefiting patients, mHealth applications have also had a profound impact on the field of medical informatics. This essay explores the significant influence of mHealth applications on medical informatics, focusing on the key areas of data management, patient engagement, healthcare delivery, and the challenges and opportunities presented by this evolving landscape. One of the most immediate and transformative impacts of mHealth applications on medical informatics is in data management and integration. These apps enable the collection and sharing of patient data like never before. By integrating with electronic health records (EHR) systems, they create a seamless flow of information that benefits healthcare providers and patients alike [1].

mHealth applications empower patients to collect and monitor their health data, including vital signs, symptoms, medication adherence, and more. This data can be seamlessly transmitted to healthcare providers, allowing for realtime monitoring of patients' health status. Healthcare providers can access data collected by mHealth apps, facilitating timely decision-making and personalized care. The integration of mHealth data with EHR systems ensures that healthcare professionals have a comprehensive view of patients' health histories. The wealth of data generated by mHealth applications contributes to the growing pool of healthcare-related big data. This data can be analyzed to identify trends, assess treatment efficacy, and develop predictive models for disease outbreaks and patient outcomes [2].

To enable seamless data sharing and interoperability, it is essential to establish standardized data formats and communication protocols across the diverse landscape of mHealth apps. Regulatory and Ethical Concerns As mHealth applications gain prominence, regulators must adapt to ensure their safe and effective use. Ethical concerns, such as data ownership and consent, also need to be addressed. Bridging the Digital DivideWhile mHealth apps offer many benefits, they also risk exacerbating healthcare disparities if not everyone has access to smartphones or the digital literacy needed to use them effectively. Integration and Interoperability Ensuring that mHealth apps can seamlessly integrate with existing healthcare systems is a significant challenge. Interoperability between different platforms and devices is essential for a cohesive healthcare ecosystem [3].

Description

Telemedicine often involves the crossing of state or national borders, raising questions about licensure and regulatory compliance. Licensing requirements can vary significantly between regions, complicating the provision of remote healthcare services. While telemedicine has made great strides in diagnostics, some physical examinations and procedures still require in-person evaluation. Telemedicine is not a panacea and may have limitations in certain medical contexts. The healthcare industry, like any other, can be resistant to change. Some healthcare providers and institutions may be hesitant to fully embrace telemedicine due to concerns about the quality of care and reimbursement models. Telemedicine will continue to evolve with advancements in technology. Innovations in artificial intelligence, machine learning, and virtual reality could enhance diagnostic capabilities, enabling more accurate and automated assessments. Telemedicine is likely to become an integral part of healthcare systems worldwide. Health records and data sharing will become more seamless, ensuring that patient information is readily available to healthcare providers across various specialties. Telemedicine can play a vital role in public health initiatives, including disease surveillance, early detection, and pandemic response. The COVID-19 pandemic highlighted the importance of telemedicine in ensuring healthcare continuity during crises. As technology improves, specialized medical services such as tele surgery and tele oncology may become more common. These services will enable patients to access highly specialized care regardless of their location [4].

Telemedicine has the potential to expand access to healthcare on a global scale. International collaborations and telemedicine outreach programs can provide medical expertise to underserved regions and low-resource settings. In the virtual world of telemedicine, healthcare providers must ensure that patients fully understand their diagnosis, treatment options, and potential risks. Obtaining informed consent can be more challenging through remote consultations, emphasizing the importance of effective communication and patient education. Maintaining the confidentiality and security of patient data is paramount in telemedicine. Healthcare providers must implement robust cybersecurity measures to protect sensitive medical information from data breaches or unauthorized access. While telemedicine offers the promise of expanded access to healthcare, it is crucial to ensure that marginalized communities and individuals with disabilities are not left behind. Efforts should be made to bridge the digital divide and make telemedicine services accessible to all. The COVID-19 pandemic served as a catalyst for the widespread adoption of telemedicine. Social distancing measures and lockdowns forced healthcare providers to adapt quickly to remote healthcare delivery. Telemedicine became an essential tool in minimizing the spread of the virus while ensuring that patients received the care they needed. Healthcare systems and regulatory bodies around the world rapidly implemented policies and guidelines to facilitate telemedicine adoption. This included relaxing regulations, expanding reimbursement for virtual visits, and promoting telehealth as a safe alternative to in-person care.

Telemedicine played a vital role in reducing the strain on healthcare systems overwhelmed by COVID-19 cases. Non-urgent and routine care could be provided remotely, freeing up resources for pandemic response. The pandemic underscored the potential of telemedicine as a crucial component of healthcare delivery. Lessons learned during this period, including the need for robust telemedicine infrastructure and policies, will shape the future of telehealth. Telemedicine has the potential to address healthcare disparities by making healthcare services more accessible to underserved populations. This includes rural communities, individuals with limited mobility, and those who face barriers to traditional healthcare access. In remote or rural areas, where access to healthcare facilities may be limited, telemedicine can bridge the geographic gap. Patients can consult with specialists and receive expert care without the need for extensive travel. Tele psychiatry and virtual mental health services have been instrumental in expanding access to mental healthcare, an area with significant disparities in access and treatment. Telemedicine can contribute to public health efforts by enabling early detection of disease outbreaks and facilitating surveillance. Real-time data from remote monitoring devices and teleconsultations can help identify trends and potential health threats. The COVID-19 pandemic showcased the importance of telemedicine in ensuring continuity of care during crises. Telemedicine can be a critical tool in pandemic response, providing remote care for infected individuals and minimizing the risk of viral transmission [5].

Conclusion

The impact of mHealth applications on medical informatics cannot be overstated. These applications have transformed the healthcare landscape by improving data management, increasing patient engagement, enhancing healthcare delivery, and creating numerous challenges and opportunities. As the mHealth field continues to evolve, it is crucial for stakeholders, including healthcare providers, technology developers, regulators, and patients, to work collaboratively to maximize the benefits of these applications while mitigating their associated risks. The future of healthcare and medical informatics is increasingly intertwined with the continued growth of mHealth applications, making it a field ripe for innovation and exploration.

Acknowledgment

None.

Conflicts of Interest

None.

References

  1. Jeffri, Nor Farzana Syaza and Dayang Rohaya Awang Rambli. "A review of augmented reality systems and their effects on mental workload and task performance." Heliyon 7 (2021).
  2. Google Scholar, Crossref, Indexed at

  3. Fagour, C., C. Gonzalez, S. Pezzino and S. Florenty, et al. "Low physical activity in patients with type 2 diabetes: The role of obesity." Diabetes Metab 39 (2013): 85-87.
  4. Google Scholar, Crossref, Indexed at

  5. Villablanca, Pedro A., Jorge R. Alegria, Farouk Mookadam and David R. Holmes Jr, et al. "Nonexercise activity thermogenesis in obesity management." 90 (2015): 509-519.
  6. Google Scholar, Crossref, Indexed at

  7. Wang, Gengkun, Wei Xiang and Mark Pickering. "A cross-platform solution for light field based 3D telemedicine." Comput Methods Programs Biomed 125 (2016): 103-116.
  8. Google Scholar, Crossref, Indexed at

  9. Sekimoto, Satoko, Genko Oyama, Shinji Chiba and Maierdanjiang Nuermaimaiti, et al. "Holomedicine: Proof of the concept of interactive three‐dimensional telemedicine." Mov Disord 35 (2020): 1719-1720.
  10.            

    Google Scholar, Crossref, Indexed at

Google Scholar citation report
Citations: 2700

Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report

Journal of Health & Medical Informatics peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward