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Renal Failure

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Use of Digital Health in the Management of Kidney Disease

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Article Collection Guest Advisor(s)

Professor Bijin Thajudeen, Banner University Medical Center, Tucson AZ , USA
bijint@deptofmed.arizona.edu

Associate Professor Iyad Mansour , Banner University Medical Center, Tucson, AZ , USA
Iyadmansour@arizona.edu

Journal information

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Use of Digital Health in the Management of Kidney Disease

Chronic kidney disease (CKD) afflicts over 37 million individuals in the United States, necessitating a continuum of care that spans from acute inpatient management to outpatient services. This comprehensive care spectrum encompasses patient education, pharmacotherapy optimization, support for renal replacement therapies, and collaborative decision-making processes. The complexity and breadth of CKD care demand considerable time and resources, particularly in contemporary healthcare environments that leverage electronic medical records and emphasize in-person consultations. Consequently, there is a pressing need for innovative care models to enhance the quality and efficiency of CKD management.

The integration of information technology for remote medical interventions represents a potential solution to the challenges discussed above. Digital health applications facilitate seamless data sharing and review among healthcare providers within both hospital and primary care frameworks, paving the way for optimized care plans and customized treatment strategies. Additionally, a variety of analytic tools and advanced computational systems have emerged, enabling the analysis of extensive patient datasets and care workflows—thus refining intervention strategies, improving clinical outcomes and advancing research. Ultimately, the digital transformation in health care stands as a vital catalyst for empowering patients, mitigating healthcare disparities, and delivering cutting-edge, high-quality care. This Article Collection focuses on elucidating digital health strategies pertinent to the management of patients with kidney disease, highlighting their potential impact on care delivery and patient outcomes.

Methods of digitalizing kidney care:

Digitalizing healthcare involves deployment of electronic health records, telemedicine platforms, wearable health monitoring devices, use of health apps, and artificial intelligence. Key initiatives include remote patient monitoring systems that facilitate continuous health tracking, AI-driven diagnostic algorithms that augment clinical decision-making, the development of digital pharmacy solutions that streamline medication management, and advanced data analytics for predictive modelling that enhances population health management.

Use of digital health in CKD/ESRD/Transplant patients

CKD/ESRD/Tx patients require integrated support. This includes dietary management and medication oversight. Pre-treatment education in CKD patients is crucial, as many patients lack understanding of their treatment options, including haemodialysis, peritoneal dialysis, and transplant candidacy. Once on renal replacement therapy, patients face dietary changes, fluid restrictions, and strict medication regimens that vary by treatment days. Those choosing home dialysis must learn to operate equipment and stick to a personalized schedule. Once transplanted digital health can be used for post Tx follows up. This helps improve patient support, streamline care, and boost self-management adherence.

Telehealth in kidney disease

The integration of telemedicine into the clinical management of kidney disease enhances interdisciplinary collaboration, particularly among physicians, nurses, dietitians and social workers whose expertise can optimize patient follow-up and resource utilization. This approach not only elevates the overall quality of care and clinical outcomes for patients but may also lead to cost reductions by minimizing hospitalization rates, ensuring prompt access to dialysis, and decreasing the frequency of outpatient clinic visits.

Use of Artificial intelligence in Nephrology

Artificial intelligence (AI) mimics human cognitive functions like pattern recognition and learning. In clinical medicine, it enhances decision-making and offers valuable resources, especially for diagnosing and managing acute and chronic kidney diseases. AI promises faster, more accurate diagnoses, improving healthcare access and quality while advancing precision medicine and fostering ongoing research in kidney disease.

Challenges in adopting e-health

Despite advancements in medical technology, limitations remain, particularly in safety. Flawed designs and tech failures can produce inaccurate readings from tracking apps, affecting patient satisfaction. Some devices need regular calibration, and neglecting this can lead to unnecessary interventions. Healthcare professionals must stay vigilant about potential errors. Additionally, many digital methods lack validation, and there's no assurance they will reduce costs or improve clinical outcomes.

Article Collection key terms:
  • Healthcare
  • Chronic kidney disease
  • Transplant
  • Telehealth
  • Artificial intelligence
Article Collection Guest Advisors:

Professor Bijin Thajudeen works at Banner University of Arizona College of Medicine – Tucson, where he has been a faculty member since 2013, following his residency and fellowship training there. He holds several key positions, including Professor of Medicine, Vice Chair for Community Engagement and Partnership in the Department of Medicine, Medical Director for both the Inpatient Nephrology Services & Dialysis Unit and the DCI Dialysis Center in Douglas, Arizona, and Associate Director of the Nephrology Clinical Research & Outcomes Unit. He is actively involved in research as the principal investigator for multiple clinical trials focused on chronic kidney disease. In addition to his research, Dr. Thajudeen has contributed to the field through numerous peer-reviewed publications in esteemed national and international journals, and he serves as an editorial board member and reviewer for several of these journals

Dr. Iyad Mansour, MD is a nephrologist and Associate Professor of Medicine at Banner University Medicine, College of Medicine–Tucson. He completed his Internal Medicine residency and Nephrology fellowship at the University of Arizona. Dr. Mansour currently serves as the Director of the Glomerular Disease Clinic and the Director of the Outpatient Nephrology Clinic at Banner University Medicine. He is also the Medical Director of the DCI Dialysis Clinic in Tucson, overseeing both in-center dialysis and home dialysis programs. He is actively involved in clinical research and serves as a Principal Investigator (PI) and Sub-Investigator (Sub-I) in several clinical trials. Dr. Mansour has contributed to the field of nephrology through multiple peer-reviewed publications and ongoing research initiatives.

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All manuscripts submitted to this Article Collection will undergo desk assessment and peer-review as part of our standard editorial process. Guest Advisors for this Collection will not be involved in peer-reviewing manuscripts unless they are an existing member of the Editorial Board. Please review the journal Aims and Scope and author submission instructions prior to submitting a manuscript.

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