Published on in Vol 21, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13147, first published .
Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care Costs

Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care Costs

Implementation of a Digitally Enabled Care Pathway (Part 1): Impact on Clinical Outcomes and Associated Health Care Costs

Journals

  1. Kallenberger S, Schmidt C. Forecasting the development of acute kidney injury using a recurrent neural network. Cardiovascular Research 2019 View
  2. Melian C, Kieser D, Frampton C, C Wyatt M. Teleconsultation in orthopaedic surgery: A systematic review and meta-analysis of patient and physician experiences. Journal of Telemedicine and Telecare 2022;28(7):471 View
  3. Connell A, Black G, Montgomery H, Martin P, Nightingale C, King D, Karthikesalingam A, Hughes C, Back T, Ayoub K, Suleyman M, Jones G, Cross J, Stanley S, Emerson M, Merrick C, Rees G, Laing C, Raine R. Implementation of a Digitally Enabled Care Pathway (Part 2): Qualitative Analysis of Experiences of Health Care Professionals. Journal of Medical Internet Research 2019;21(7):e13143 View
  4. Harris J, Purssell E, Ream E, Jones A, Armes J, Cornelius V. How to Develop Statistical Predictive Risk Models in Oncology Nursing to Enhance Psychosocial and Supportive Care. Seminars in Oncology Nursing 2020;36(6):151089 View
  5. Selby N, Korrodi-Gregório L, Casula A, Kolhe N, Arbonés D, Bukieda K, Sahu D, Rao C, Basadonna G. Randomized Controlled Trial Evidence of Cost-Effectiveness of a Multifaceted AKI Intervention Approach. Kidney International Reports 2021;6(3):636 View
  6. Sakib N, Ahamed S, Khan R, Griffin P, Haque M. Unpacking Prevalence and Dichotomy in Quick Sequential Organ Failure Assessment and Systemic Inflammatory Response Syndrome Parameters: Observational Data–Driven Approach Backed by Sepsis Pathophysiology. JMIR Medical Informatics 2020;8(12):e18352 View
  7. Lamplot J, Taylor S. Good Comes From Evil: COVID-19 and the Advent of Telemedicine in Orthopedics. HSS Journal®: The Musculoskeletal Journal of Hospital for Special Surgery 2021;17(1):7 View
  8. Melian C, Frampton C, Wyatt M, Kieser D. Teleconsultation in the Management of Elective Orthopedic and Spinal Conditions During the COVID-19 Pandemic: Prospective Cohort Study of Patient Experiences. JMIR Formative Research 2021;5(6):e28140 View
  9. Chew C, Hogan H, Jani Y. Scoping review exploring the impact of digital systems on processes and outcomes in the care management of acute kidney injury and progress towards establishing learning healthcare systems. BMJ Health & Care Informatics 2021;28(1):e100345 View
  10. Ho C, Caals K. A Call for an Ethics and Governance Action Plan to Harness the Power of Artificial Intelligence and Digitalization in Nephrology. Seminars in Nephrology 2021;41(3):282 View
  11. Boss K, Roller R, Woywodt A, Kribben A, Budde K, Becker S. Künstliche Intelligenz in der Nephrologie. Die Nephrologie 2022;17(6):399 View
  12. Wenk J, Voigt I, Inojosa H, Schlieter H, Ziemssen T. Building digital patient pathways for the management and treatment of multiple sclerosis. Frontiers in Immunology 2024;15 View

Books/Policy Documents

  1. Weatherall J, Khan F, Patel M, Dearden R, Shameer K, Dennis G, Feldberg G, White T, Khosla S. The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry. View