Healthcare Management Research Project Final M edited (1)
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Healthcare Management Research Project: Annotated Bibliography Assignment
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Healthcare Management Research Project: Annotated Bibliography Assignment
Topic: Advances in Healthcare Information Technology
Abujamra, R., & Randall, D. (2019). Blockchain applications in healthcare and the
opportunities and advancements due to the new information technology framework.
Advances in Computers
, 141–154. https://doi.org/10.1016/bs.adcom.2018.12.002
Author Credentials: Abujamra and Randall (2019) are well-known information
technology experts in healthcare. Abujamra is a prominent computer scientist who has
written on blockchain. Randall, however, has extensive healthcare information systems
expertise. The co-authors' diverse perspectives provide a balanced and well-informed
picture. Relevance: Blockchain healthcare researchers will find this material very useful.
Blockchain solutions for data security, interoperability, and patient privacy were
highlighted. Abujamra and Randall's (2019) observations are crucial in current health
care, where data breaches and privacy issues are prevalent. It covers theory and gives
several case studies, making it a good resource for understanding blockchain's potential
in health care. Key Quote: "Blockchain technology can revolutionize healthcare by providing a secure
and decentralized framework for data management." Blockchain technology, which is decentralized and secure, may alleviate many of these
issues. Blockchain ensures that healthcare providers' data is secure, intact, and only
accessible by authorized users. This significantly reduces data breach threats, which are a
significant healthcare issue. The paper also discusses how blockchain might improve
healthcare system interoperability. Most healthcare providers need help to share patient
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data due to system and standard variations. Blockchain standardizes safe data exchange,
improving collaboration and patient outcomes (Abujamra & Randall, 2019). The writers
emphasize patient privacy. Blockchain helps patients manage who may access their data
and under what circumstances. This is a significant departure from the current scenario,
where people need more input in how their data is utilized. In conclusion, Abujamra and
Randall's article on blockchain technology in healthcare is essential. It thoroughly
examines industrial issues and how blockchain may solve them.
Bommu, R. (2022). Advancements in Healthcare Information Technology: A Comprehensive Review. Innovative Computer Sciences Journal
, 8
(1), 1−7–1−7. https://innovatesci-publishers.com/index.php/ICSJ/article/view/80
Author credentials: Bommu (2022) is a prominent computer scientist and healthcare IT
academic researcher. He mentors new technical advances and their healthcare
applications due to his extensive research and publications. Relevance: Bommu's (2022) evaluation covers all current healthcare IT advancements.
The study covers electronic health records, telemedicine, artificial intelligence, and
machine learning in healthcare. Still, only a tiny fraction of the boundaries are needed to
understand such technological transformation in healthcare delivery. Healthcare
academics, clinicians, and policymakers may use this study to realize information
technology's promise to enhance care. Key Quote: "The infusion of advanced information technology in health care is not an
enhancement; it is perhaps the evolution that is required to meet the demands of modern
medical practices."
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The review discusses healthcare IT integration. EHR use is a significant topic. Today,
EHRs are critical for keeping patient data and allowing doctors to access it electronically.
Overall, this improves patient care by increasing patient records' efficiency, accuracy, and
completeness. Telemedicine, which uses video conferencing to provide treatment
remotely, is another significant advancement. During the COVID-19 pandemic,
continuing therapy with lower infection risks is critical. Telemedicine improves access,
reduces cost, and increases patient happiness (Bommu, 2022). It also introduces potential
healthcare AI and ML. These technologies will power most future healthcare services,
from diagnostic precision to treatment customization to patient outcomes. AI systems
might detect similarities in massive data sets and generate predictions to help providers
make better choices. Junaid, S. B., Imam, A. A., Balogun, A. O., De Silva, L. C., Surakat, Y. A., Kumar, G., Abdulkarim, M., Shuaibu, A. N., Garba, A., Sahalu, Y., Mohammed, A., Mohammed, T. Y., Abdulkadir, B. A., Abba, A. A., Kakumi, N. A. I., & Mahamad, S. (2022). Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey. Healthcare
, 10
(10), 1–45. https://doi.org/10.3390/healthcare10101940
Author credentials: A team of healthcare, IT, and medical research specialists wrote the
survey. Their combined knowledge of healthcare management technology advances is
vast and authoritative (Junaid et al., 2022).
Relevance: This study covers the latest healthcare management system trends and advancements. Telemedicine, AI, and the Internet of Things are among its many new technologies. Its study depth and coverage make it an essential resource for researchers,
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health providers, and policymakers interested in how emerging technologies may transform health management. Key Quote: "Emerging technologies are redefining the health management systems, providing opportunities for unparalleled increases in patient care and operational efficiency." The study gives a broad overview of healthcare management's latest technology. AI is a crucial technology. AI in healthcare management would improve diagnosis, treatment planning, and patient outcomes (Junaid et al., 2022). For instance, AI systems may analyze massive amounts of data to find trends or anticipate based on particular factors, guiding more competent judgments. The report also looks at the Internet of Things, which lets devices communicate data in real-time. By remotely monitoring patients and responding to changes in health conditions, healthcare practitioners may enhance patient care and reduce hospital visits, lowering healthcare costs. Telemedicine, which allows physicians to treat patients remotely using real-time video conferencing and other technologies, is also included in the inquiry (Junaid et al., 2022). This became important during the COVID-19 pandemic because treatment is prolonged, and infectious infections
are reduced. According to the report, telemedicine improves access, affordability, and patient happiness. Silcox, C., Zimlichmann, E., Huber, K., Rowen, N., Saunders, R., McClellan, M., Kahn, C. N., Salzberg, C. A., & Bates, D. W. (2024). The potential for artificial intelligence to transform healthcare: perspectives from international health leaders. Npj Digital Medicine
, 7
(1), 1–3. https://doi.org/10.1038/s41746-024-01097-6
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Author credentials: The writers are famous health leaders and scholars in digital medicine
and healthcare policy. Their diverse healthcare delivery and technology background gives
them a broad view of artificial intelligence's potential to change healthcare (Silcox et al., 2024).
Relevance: The research proposes a novel idea that artificial intelligence will change
health care. It presents global health professionals' perspectives on how AI might enhance
healthcare delivery and patient outcomes. This publication is crucial for AI researchers,
healthcare professionals, and policymakers (Silcox et al., 2024).
Key Quote: "Artificial intelligence has the potential to revolutionize healthcare through
more accurate diagnoses, personalized treatments, and overall efficient delivery of
healthcare."
It talks about how AI will change health care. The most prominent area is diagnosing more accurately. AI provides extensive data analysis, determines trends, and predicts provider decisions. Since the diagnosis is earlier and more precise, patient outcomes improve. The paper also mentioned AI's capacity to plan treatments in a personalized way
(Silcox et al., 2024). AI can facilitate the development of individualized treatment protocols by analyzing data from multiple sources, such as genetic information and patient files. This will lead to more effective therapy and reduced drug regimen side effects, resulting from applying more appropriate algorithms in treatment stratification. That also addresses other possibilities for benefiting care using AI (Silcox et al., 2024). AI may be applied toward administrative and clerical work automation, for example, tasks that involve scheduling appointments or invoices, hence free time for healthcare
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workers to see patients more. AI optimizes resources to ensure patients receive the proper
treatment immediately.
Stoumpos, A. I., Kitsios, F., & Talias, M. A. (2023). Digital Transformation in Healthcare: Technology Acceptance and Its Applications. International Journal of Environmental Research and Public Health
, 20
(4). https://doi.org/10.3390/ijerph20043407
Authorship information: Stoumpos et al., 2023, in healthcare administration and
technology, conduct interdisciplinary research on digital innovation and public health; the
research exposes how, in healthcare implementation, technology is applied to digital
technologies.
Relevant: This paper explores the factors driving digital healthcare technologies.
Adopting digital technology in health requires insight into systemic-level barriers and
opportunities (Stoumpos et al., 2023).
Quote: "The successful adoption of digital technologies in healthcare depends not only on
how advanced today's technology is but also on the readiness of healthcare providers to
embrace the changes."
This article speaks to the acceptance of healthcare digital technology. Education and
training appear indispensable. Health professionals must learn to apply new technology
and its benefits for patients. This requires continuous training and support for acquainting
providers with the latest technologies (Stoumpos et al., 2023). Organizational support is
also essential (Stoumpos et al., 2023). The organization should provide infrastructure and
resources for adopting new technology in health care. This involves investment, support
in tech and innovation. Data privacy and security are included in the study. Doctors and
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patients have to trust data security as well as privacy. Good data security and problem-
solving policies are to be outlined.
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References
Abujamra, R., & Randall, D. (2019). Blockchain applications in healthcare and the opportunities and advancements due to the new information technology framework. Advances in Computers
, pp. 141–154. https://doi.org/10.1016/bs.adcom.2018.12.002
Bommu, R. (2022). Advancements in Healthcare Information Technology: A Comprehensive Review. Innovative Computer Sciences Journal
, 8
(1), 1−7–1−7. https://innovatesci-
publishers.com/index.php/ICSJ/article/view/80
Junaid, S. B., Imam, A. A., Balogun, A. O., De Silva, L. C., Surakat, Y. A., Kumar, G., Abdulkarim, M., Shuaibu, A. N., Garba, A., Sahalu, Y., Mohammed, A., Mohammed, T. Y., Abdulkadir, B. A., Abba, A. A., Kakumi, N. A. I., & Mahamad, S. (2022). Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey. Healthcare
, 10
(10), 1–45. https://doi.org/10.3390/healthcare10101940
Silcox, C., Zimlichmann, E., Huber, K., Rowen, N., Saunders, R., McClellan, M., Kahn, C. N., Salzberg, C. A., & Bates, D. W. (2024). The potential for artificial intelligence to transform healthcare: perspectives from international health leaders. Npj Digital Medicine
, 7
(1), 1–3. https://doi.org/10.1038/s41746-024-01097-6
Stoumpos, A. I., Kitsios, F., & Talias, M. A. (2023). Digital Transformation in Healthcare: Technology Acceptance and Its Applications. International Journal of Environmental Research and Public Health
, 20
(4). https://doi.org/10.3390/ijerph20043407
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