This paper is in the following e-collection/theme issue:

Clinical Informatics (1045) Blockchain, Distributed Ledger Apps for Health and Medicine (85) Internet of Things (79) Mobile Health (mhealth) (2974) Big Data (241) Electronic Health Records (1067)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17508, first published .
Requirements of Health Data Management Systems for Biomedical Care and Research: Scoping Review

Requirements of Health Data Management Systems for Biomedical Care and Research: Scoping Review

Requirements of Health Data Management Systems for Biomedical Care and Research: Scoping Review

Authors of this article:

Leila Ismail1 Author Orcid Image ;   Huned Materwala1 Author Orcid Image ;   Achim P Karduck2 Author Orcid Image ;   Abdu Adem3 Author Orcid Image
Article Authors Cited by (55) Tweetations (25) Metrics

Journals

  1. Ismail L, Materwala H, Tayefi M, Ngo P, Karduck A. Type 2 Diabetes with Artificial Intelligence Machine Learning: Methods and Evaluation. Archives of Computational Methods in Engineering 2022;29(1):313 View
  2. Miyachi K, Mackey T. hOCBS: A privacy-preserving blockchain framework for healthcare data leveraging an on-chain and off-chain system design. Information Processing & Management 2021;58(3):102535 View
  3. Ismail L, Materwala H, Hennebelle A. A Scoping Review of Integrated Blockchain-Cloud (BcC) Architecture for Healthcare: Applications, Challenges and Solutions. Sensors 2021;21(11):3753 View
  4. Ismail L, Materwala H. IDMPF: intelligent diabetes mellitus prediction framework using machine learning. Applied Computing and Informatics 2021 View
  5. Miller J, Gunn F, Dunlop M, Din F, Maeda Y. Development of a customised data management system for a COVID-19-adapted colorectal cancer pathway. BMJ Health & Care Informatics 2021;28(1):e100307 View
  6. Mukherjee A, Mackessy S. Prevention and improvement of clinical management of snakebite in Southern Asian countries: A proposed road map. Toxicon 2021;200:140 View
  7. Babrak L, Smakaj E, Agac T, Asprion P, Grimberg F, der Werf D, van Ginkel E, Tosoni D, Clay I, Degen M, Brodbeck D, Natali E, Schkommodau E, Miho E. RWD-Cockpit: Application for Quality Assessment of Real-world Data. JMIR Formative Research 2022;6(10):e29920 View
  8. Khan M, Din I, Majali T, Kim B. A Survey of Authentication in Internet of Things-Enabled Healthcare Systems. Sensors 2022;22(23):9089 View
  9. Moses J, Adibi S, Angelova M, Islam S. Smart Home Technology Solutions for Cardiovascular Diseases: A Systematic Review. Applied System Innovation 2022;5(3):51 View
  10. Alderden J, Sharkey P, Kennerly S, Ghosh S, Barrett R, Horn S, Ghosh S, Yap T. Developing a Relational Database for Best Practice Data Management. CIN: Computers, Informatics, Nursing 2023;41(2):59 View
  11. Vassolo R, Mac Cawley A, Tortorella G, Fogliatto F, Tlapa D, Narayanamurthy G. Hospital Investment Decisions in Healthcare 4.0 Technologies: Scoping Review and Framework for Exploring Challenges, Trends, and Research Directions. Journal of Medical Internet Research 2021;23(8):e27571 View
  12. Barbaria S, Mont M, Ghadafi E, Mahjoubi Machraoui H, Rahmouni H. Leveraging Patient Information Sharing Using Blockchain-Based Distributed Networks. IEEE Access 2022;10:106334 View
  13. Satti F, Hussain M, Ali S, Saleem M, Ali H, Chung T, Lee S. A semantic sequence similarity based approach for extracting medical entities from clinical conversations. Information Processing & Management 2023;60(2):103213 View
  14. Xie Y, Zhang J, Wang H, Liu P, Liu S, Huo T, Duan Y, Dong Z, Lu L, Ye Z. Applications of Blockchain in the Medical Field: Narrative Review. Journal of Medical Internet Research 2021;23(10):e28613 View
  15. Tang L, Li J, Du H, Li L, Wu J, Wang S. Big Data in Forecasting Research: A Literature Review. Big Data Research 2022;27:100289 View
  16. Schäfer J, Tang M, Luu D, Bergmann A, Wiese L. Graph4Med: a web application and a graph database for visualizing and analyzing medical databases. BMC Bioinformatics 2022;23(1) View
  17. Zeng B, Bove R, Carini S, Lee J, Pollak J, Schleimer E, Sim I. Standardized Integration of Person-Generated Data Into Routine Clinical Care. JMIR mHealth and uHealth 2022;10(2):e31048 View
  18. Ismail L, Materwala H, Al Hammadi Y, Firouzi F, Khan G, Azzuhri S. Automated artificial intelligence-enabled proactive preparedness real-time system for accurate prediction of COVID-19 infections— Performance evaluation. Frontiers in Medicine 2022;9 View
  19. Van Bulck L, Wampers M, Moons P. Research Electronic Data Capture (REDCap): tackling data collection, management, storage, and privacy challenges. European Journal of Cardiovascular Nursing 2022;21(1):85 View
  20. Alamri B, Crowley K, Richardson I. Blockchain-Based Identity Management Systems in Health IoT: A Systematic Review. IEEE Access 2022;10:59612 View
  21. Chomutare T, Tejedor M, Svenning T, Marco-Ruiz L, Tayefi M, Lind K, Godtliebsen F, Moen A, Ismail L, Makhlysheva A, Ngo P. Artificial Intelligence Implementation in Healthcare: A Theory-Based Scoping Review of Barriers and Facilitators. International Journal of Environmental Research and Public Health 2022;19(23):16359 View
  22. Florea A, Anghel I, Cioara T. A Review of Blockchain Technology Applications in Ambient Assisted Living. Future Internet 2022;14(5):150 View
  23. Ismail L, Waseem M. Towards a Deep Learning Pain-Level Detection Deployment at UAE for Patient-Centric-Pain Management and Diagnosis Support: Framework and Performance Evaluation. Procedia Computer Science 2023;220:339 View
  24. Hennebelle A, Materwala H, Ismail L. HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing System. Procedia Computer Science 2023;220:331 View
  25. Rangraz Jeddi F, Nabovati E, Mobayen M, Akbari H, Feizkhah A, Motalebi Kashani M, Bagheri Toolaroud P. A Smartphone Application for Caregivers of Children With Severe Burns: A Survey to Identify Minimum Data Set and Requirements. Journal of Burn Care & Research 2023;44(5):1200 View
  26. Kamal J, Zargaran D, Zargaran A, Mosahebi A. Esthetic Clinic Management Software—Can we improve patient safety?. Journal of Plastic, Reconstructive & Aesthetic Surgery 2024;88:145 View
  27. Houssein E, Hosney M, Emam M, Younis E, Ali A, Mohamed W. Soft computing techniques for biomedical data analysis: open issues and challenges. Artificial Intelligence Review 2023;56(S2):2599 View
  28. Elvas L, Ferreira J, Dias M, Rosário L. Health Data Sharing towards Knowledge Creation. Systems 2023;11(8):435 View
  29. Wolfien M, Ahmadi N, Fitzer K, Grummt S, Heine K, Jung I, Krefting D, Kühn A, Peng Y, Reinecke I, Scheel J, Schmidt T, Schmücker P, Schüttler C, Waltemath D, Zoch M, Sedlmayr M. Ten Topics to Get Started in Medical Informatics Research. Journal of Medical Internet Research 2023;25:e45948 View
  30. Alvarez-Romero C, Martínez-García A, Bernabeu-Wittel M, Parra-Calderón C. Health data hubs: an analysis of existing data governance features for research. Health Research Policy and Systems 2023;21(1) View
  31. Hennebelle A, Ismail L, Materwala H, Al Kaabi J, Ranjan P, Janardhanan R. Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction. Computational and Structural Biotechnology Journal 2024;23:212 View
  32. Cano J, Bertomeu-González V, Fácila L, Hornero F, Alcaraz R, Rieta J. Improved Hypertension Risk Assessment with Photoplethysmographic Recordings Combining Deep Learning and Calibration. Bioengineering 2023;10(12):1439 View
  33. Ismail L, Shahin N, Materwala H, Hennebelle A, Frermann L. ML-NLPEmot: Machine Learning-Natural Language Processing Event-Based Emotion Detection Proactive Framework Addressing Mental Health. IEEE Access 2023;11:144126 View
  34. Aldosari B. Information Technology and Value-Based Healthcare Systems: A Strategy and Framework. Cureus 2024 View
  35. Erler C, Bauer A, Gauger F, Stork W. Decision Model to Design Trust-Focused and Blockchain-Based Health Data Management Applications. Blockchains 2024;2(2):79 View
  36. Guo L, Reddy K, Van Iseghem T, Pierce W. Enhancing data practices for Whole Health: Strategies for a transformative future. Learning Health Systems 2024;8(S1) View
  37. Molla A, Hayelom M, Adamu K, Mihiretu M, Adem Y. Health data management practice and associated factors among health professionals working in public health facilities in Oromia Special Zone, Amhara, Ethiopia: a cross-sectional study. BMJ Public Health 2024;2(1):e000807 View
  38. Shahin N, Ismail L. From rule-based models to deep learning transformers architectures for natural language processing and sign language translation systems: survey, taxonomy and performance evaluation. Artificial Intelligence Review 2024;57(10) View
  39. Kaafarani R, Ismail L, Zahwe O. Automatic Recommender System of Development Platforms for Smart Contract–Based Health Care Insurance Fraud Detection Solutions: Taxonomy and Performance Evaluation. Journal of Medical Internet Research 2024;26:e50730 View
  40. Lanka S, Madala P. AI in Healthcare: Bridging the Gap between Research and Clinical Implementation. International Journal of Innovative Science and Research Technology (IJISRT) 2024:500 View
  41. Cohen A, Langabeer J, Lopez A, Champagne-Langabeer T. Gaps and Direction for Digital Records Impacting the Mental Health Patient-Provider Dyad: A Systematic Review. Journal of Contemporary Psychotherapy 2024 View
  42. Engstrom T, Kenny D, Grimmett W, Ramis M, Foley C, Sullivan C, Pole J. System-wide analysis of qualitative hospital incident data: Feasibility of semi-automated content analysis to uncover insights. Health Information Management Journal 2024 View
  43. Pigueiras-del-Real J, Ruiz-Zafra A, Benavente-Fernández I, Lubián-López S, Shah S, Shah S, Gontard L. NeoVault: empowering neonatal research through a neonate data hub. BMC Pediatrics 2024;24(1) View

Books/Policy Documents

  1. Tavares J. Political and Economic Implications of Blockchain Technology in Business and Healthcare. View
  2. Kumar Shriva M, Bhansali A, Kolivand H, Kant Hiran K. Machine Intelligence for Internet of Medical Things: Applications and Future Trends. View
  3. Tourab H, Ellacuría M, Sanz L, Anchuelo A, Gómez-Garre D, González S, Méndez M, Merino-Barbancho B, Mayol J, Cabrera M, Arredondo M, Fico G. Pervasive Computing Technologies for Healthcare. View
  4. Tasia T, Maga-Nteve C, Tsolakis N, Meditskos G, Mavropoulos T, Vrochidis S. Artificial Intelligence Applications and Innovations. View
  5. Jain P, Gupta S. Intelligent Computing Techniques in Biomedical Imaging. View