Published on in Vol 4, No 4 (2016): Oct-Dec

Challenges and Opportunities of Big Data in Health Care: A Systematic Review

Challenges and Opportunities of Big Data in Health Care: A Systematic Review

Challenges and Opportunities of Big Data in Health Care: A Systematic Review

Journals

  1. Hopp W, Li J, Wang G. Big Data and the Precision Medicine Revolution. Production and Operations Management 2018;27(9):1647 View
  2. Shetty V, Yamamoto J, Yale K. Re-architecting oral healthcare for the 21st century. Journal of Dentistry 2018;74:S10 View
  3. Lee C, Ha H, Oh S, Kim J, Lee J, Kim H, Yoon S, Kang S, Kim E, Kim T, Na S, Lee J, Kim S, Koo H, Park B, Lee H, Kim E, Park J, Kwak M, Cha J, Ye B, Choi C, Kim H. Nationwide validation study of diagnostic algorithms for inflammatory bowel disease in Korean National Health Insurance Service database. Journal of Gastroenterology and Hepatology 2020;35(5):760 View
  4. Qadri Y, Nauman A, Zikria Y, Vasilakos A, Kim S. The Future of Healthcare Internet of Things: A Survey of Emerging Technologies. IEEE Communications Surveys & Tutorials 2020;22(2):1121 View
  5. Pereira K, Goode V, Brysiewicz P. Using clinical data to effect practice change. International Emergency Nursing 2019;46:100809 View
  6. Esmaeilzadeh P, Mirzaei T, Maddah M. The effects of data entry structure on patients’ perceptions of information quality in Health Information Exchange (HIE). International Journal of Medical Informatics 2020;135:104058 View
  7. Cosco T, Firth J, Vahia I, Sixsmith A, Torous J. Mobilizing mHealth Data Collection in Older Adults: Challenges and Opportunities. JMIR Aging 2019;2(1):e10019 View
  8. Pisani A, Kanuri N, Filbin B, Gallo C, Gould M, Lehmann L, Levine R, Marcotte J, Pascal B, Rousseau D, Turner S, Yen S, Ranney M. Protecting User Privacy and Rights in Academic Data-Sharing Partnerships: Principles From a Pilot Program at Crisis Text Line. Journal of Medical Internet Research 2019;21(1):e11507 View
  9. VanWagner L, Kanwal F. Hepatology in a changing health care landscape: A call for health services research. Hepatology 2018;68(3):1154 View
  10. Latif J, Xiao C, Tu S, Rehman S, Imran A, Bilal A. Implementation and Use of Disease Diagnosis Systems for Electronic Medical Records Based on Machine Learning: A Complete Review. IEEE Access 2020;8:150489 View
  11. Gaynor M, Tuttle-Newhall J, Parker J, Patel A, Tang C. Adoption of Blockchain in Health Care. Journal of Medical Internet Research 2020;22(9):e17423 View
  12. Sharma A, Harrington R, McClellan M, Turakhia M, Eapen Z, Steinhubl S, Mault J, Majmudar M, Roessig L, Chandross K, Green E, Patel B, Hamer A, Olgin J, Rumsfeld J, Roe M, Peterson E. Using Digital Health Technology to Better Generate Evidence and Deliver Evidence-Based Care. Journal of the American College of Cardiology 2018;71(23):2680 View
  13. Spachos D, Siafis S, Bamidis P, Kouvelas D, Papazisis G. Combining big data search analytics and the FDA Adverse Event Reporting System database to detect a potential safety signal of mirtazapine abuse. Health Informatics Journal 2020;26(3):2265 View
  14. Štufi M, Bačić B, Stoimenov L. Big Data Analytics and Processing Platform in Czech Republic Healthcare. Applied Sciences 2020;10(5):1705 View
  15. Roth J, Battegay M, Juchler F, Vogt J, Widmer A. Introduction to Machine Learning in Digital Healthcare Epidemiology. Infection Control & Hospital Epidemiology 2018;39(12):1457 View
  16. Kannan V, Basit M, Bajaj P, Carrington A, Donahue I, Flahaven E, Medford R, Melaku T, Moran B, Saldana L, Willett D, Youngblood J, Toomay S. User stories as lightweight requirements for agile clinical decision support development. Journal of the American Medical Informatics Association 2019;26(11):1344 View
  17. Bayne L. Big Data in Neonatal Health Care. Critical Care Nursing Clinics of North America 2018;30(4):481 View
  18. Kaur P, Sharma M, Mittal M. Big Data and Machine Learning Based Secure Healthcare Framework. Procedia Computer Science 2018;132:1049 View
  19. Schaarup C, Pape-Haugaard L, Hejlesen O. Models Used in Clinical Decision Support Systems Supporting Healthcare Professionals Treating Chronic Wounds: Systematic Literature Review. JMIR Diabetes 2018;3(2):e11 View
  20. Noyes K, Myneni A, Schwaitzberg S, Hoffman A. Quality of MBSAQIP data: bad luck, or lack of QA plan?. Surgical Endoscopy 2020;34(2):973 View
  21. Wilfling D, Hinz A, Steinhäuser J. Big data analysis techniques to address polypharmacy in patients – a scoping review. BMC Family Practice 2020;21(1) View
  22. Cho G, Yim J, Choi Y, Ko J, Lee S. Review of Machine Learning Algorithms for Diagnosing Mental Illness. Psychiatry Investigation 2019;16(4):262 View
  23. Waschkau A, Wilfling D, Steinhäuser J. Are big data analytics helpful in caring for multimorbid patients in general practice? - A scoping review. BMC Family Practice 2019;20(1) View
  24. Cheung S. Disambiguating the benefits and risks from public health data in the digital economy. Big Data & Society 2020;7(1):205395172093392 View
  25. Baseman J, Revere D, Painter I. Big Data in the Era of Health Information Exchanges: Challenges and Opportunities for Public Health. Informatics 2017;4(4):39 View
  26. Targarona E, Balla A, Batista G. Big data y cirugía: la revolución digital continúa. Cirugía Española 2018;96(5):247 View
  27. Kariotis T, Ball M, Greshake Tzovaras B, Dennis S, Sahama T, Johnston C, Almond H, Borda A. Emerging health data platforms: From individual control to collective data governance. Data & Policy 2020;2 View
  28. Blighe K, DeDionisio L, Christie K, Chawes B, Shareef S, Kakouli-Duarte T, Chao-Shern C, Harding V, Kelly R, Castellano L, Stebbing J, Lasky-Su J, Nesbit M, Moore C. Gene editing in the context of an increasingly complex genome. BMC Genomics 2018;19(1) View
  29. Capó‐Lugo C, Kho A, O'Dwyer L, Rosenman M. Data Sharing and Data Registries in Physical Medicine and Rehabilitation. PM&R 2017;9(5S) View
  30. Tarricone R, Cucciniello M, Armeni P, Petracca F, Desouza K, Hall L, Keefe D. Mobile Health Divide Between Clinicians and Patients in Cancer Care: Results From a Cross-Sectional International Survey. JMIR mHealth and uHealth 2019;7(9):e13584 View
  31. Textoris J, Taccone F, Zafrani L, Guillon A, Gibot S, Uhel F, Azabou E, Monneret G, Pène F, de Prost N, Silva S. Data-driving methods: More than merely trendy buzzwords?. Annals of Intensive Care 2018;8(1) View
  32. Scott I. Hope, hype and harms of Big Data. Internal Medicine Journal 2019;49(1):126 View
  33. Ola O, Sedig K. Discourse with Visual Health Data: Design of Human-Data Interaction. Multimodal Technologies and Interaction 2018;2(1):10 View
  34. Shi J, Zhang J, Ge Y. CASMI—An Entropic Feature Selection Method in Turing’s Perspective. Entropy 2019;21(12):1179 View
  35. Bissonnette L, Bergeron M. Portable devices and mobile instruments for infectious diseases point-of-care testing. Expert Review of Molecular Diagnostics 2017;17(5):471 View
  36. Ahsan M, Hon S, Albarbar A. Development of Novel Big Data Analytics Framework for Smart Clothing. IEEE Access 2020;8:146376 View
  37. van Hartskamp M, Consoli S, Verhaegh W, Petkovic M, van de Stolpe A. Artificial Intelligence in Clinical Health Care Applications: Viewpoint. Interactive Journal of Medical Research 2019;8(2):e12100 View
  38. Hofer I, Burns M, Kendale S, Wanderer J. Realistically Integrating Machine Learning Into Clinical Practice: A Road Map of Opportunities, Challenges, and a Potential Future. Anesthesia & Analgesia 2020;130(5):1115 View
  39. Fahr P, Buchanan J, Wordsworth S. A Review of the Challenges of Using Biomedical Big Data for Economic Evaluations of Precision Medicine. Applied Health Economics and Health Policy 2019;17(4):443 View
  40. Ebinger J. Health Services Research. Journal of the American College of Cardiology 2017;69(17):2242 View
  41. Caruso R, Micallo G, Cessa M, di Bari M, De Marzo D, Diamanti O, Magri M, Venanzetti B, Piredda A. Italian Association of Cancer Nurses (AIIAO) is moving forward within a complex and fast-changing scenario: Our current agenda takes shape. Journal of Cancer Policy 2018;15:15 View
  42. Mirchev M, Mircheva I, Kerekovska A. The Academic Viewpoint on Patient Data Ownership in the Context of Big Data: Scoping Review. Journal of Medical Internet Research 2020;22(8):e22214 View
  43. Panyard D, Ramly E, Dean S, Bartels C. Bridging clinical researcher perceptions and health IT realities: A case study of stakeholder creep. International Journal of Medical Informatics 2018;110:19 View
  44. Kardas P, Aguilar-Palacio I, Almada M, Cahir C, Costa E, Giardini A, Malo S, Massot Mesquida M, Menditto E, Midão L, Parra-Calderón C, Pepiol Salom E, Vrijens B. The Need to Develop Standard Measures of Patient Adherence for Big Data: Viewpoint. Journal of Medical Internet Research 2020;22(8):e18150 View
  45. Qaffas A, Hoque R, Almazmomi N. The Internet of Things and Big Data Analytics for Chronic Disease Monitoring in Saudi Arabia. Telemedicine and e-Health 2021;27(1):74 View
  46. Panayides A, Pattichis M, Leandrou S, Pitris C, Constantinidou A, Pattichis C. Radiogenomics for Precision Medicine With a Big Data Analytics Perspective. IEEE Journal of Biomedical and Health Informatics 2019;23(5):2063 View
  47. Danchin A, Ouzounis C, Tokuyasu T, Zucker J. No wisdom in the crowd: genome annotation in the era of big data – current status and future prospects. Microbial Biotechnology 2018;11(4):588 View
  48. Miah S, Gammack J, Hasan N. Methodologies for designing healthcare analytics solutions: A literature analysis. Health Informatics Journal 2020;26(4):2300 View
  49. Pezoulas V, Kourou K, Kalatzis F, Exarchos T, Zampeli E, Gandolfo S, Goules A, Baldini C, Skopouli F, De Vita S, Tzioufas A, Fotiadis D. Overcoming the Barriers That Obscure the Interlinking and Analysis of Clinical Data Through Harmonization and Incremental Learning. IEEE Open Journal of Engineering in Medicine and Biology 2020;1:83 View
  50. Aapro M, Bossi P, Dasari A, Fallowfield L, Gascón P, Geller M, Jordan K, Kim J, Martin K, Porzig S. Digital health for optimal supportive care in oncology: benefits, limits, and future perspectives. Supportive Care in Cancer 2020;28(10):4589 View
  51. Kruse C. Writing a Systematic Review for Publication in a Health-Related Degree Program. JMIR Research Protocols 2019;8(10):e15490 View
  52. He J, Baxter S, Xu J, Xu J, Zhou X, Zhang K. The practical implementation of artificial intelligence technologies in medicine. Nature Medicine 2019;25(1):30 View
  53. Lee T, Shah N, Haack A, Baxter S. Clinical Implementation of Predictive Models Embedded within Electronic Health Record Systems: A Systematic Review. Informatics 2020;7(3):25 View
  54. Trifan A, Oliveira J. Patient data discovery platforms as enablers of biomedical and translational research: A systematic review. Journal of Biomedical Informatics 2019;93:103154 View
  55. Connolly J, Staines A, Connolly R, Boilson A, Davis P, Weston D, Bloodworth N. Evaluating Impact of an Emerging Big Health Data Platform: A Logic Model and Q-Methodology Approach. SSRN Electronic Journal 2018 View
  56. Ercole A, Brinck V, George P, Hicks R, Huijben J, Jarrett M, Vassar M, Wilson L. Guidelines for Data Acquisition, Quality and Curation for Observational Research Designs (DAQCORD). Journal of Clinical and Translational Science 2020;4(4):354 View
  57. Chen J, Wei W, Guo C, Tang L, Sun L. Textual analysis and visualization of research trends in data mining for electronic health records. Health Policy and Technology 2017;6(4):389 View
  58. Mudumbai S, Ayer F, Stefanko J. Perioperative and ICU Healthcare Analytics within a Veterans Integrated System Network: a Qualitative Gap Analysis. Journal of Medical Systems 2017;41(8) View
  59. Kerr D, Klonoff D. Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris. Journal of Diabetes Science and Technology 2019;13(1):123 View
  60. Nam D, Kwon H, Lee H, Ahn E. National Healthcare Service and Its Big Data Analytics. Healthcare Informatics Research 2018;24(3):247 View
  61. Moro Visconti R, Morea D. Big Data for the Sustainability of Healthcare Project Financing. Sustainability 2019;11(13):3748 View
  62. Nanayakkara S, Zhou X, Spallek H. Impact of big data on oral health outcomes. Oral Diseases 2019;25(5):1245 View
  63. Elmore J, Wang P, Kerr K, Schriger D, Morrison D, Brookmeyer R, Pfeffer M, Payne T, Currier J. Excess Patient Visits for Cough and Pulmonary Disease at a Large US Health System in the Months Prior to the COVID-19 Pandemic: Time-Series Analysis. Journal of Medical Internet Research 2020;22(9):e21562 View
  64. Kielstein J, Kruse A, Anderson N, Vaitiekunas H, Scherneck S. Boliden auf der Intensivstation. Medizinische Klinik - Intensivmedizin und Notfallmedizin 2019;114(2):139 View
  65. Hopp W, Li J, Wang G. Big Data and the Precision Medicine Revolution. SSRN Electronic Journal 2018 View
  66. Hong L, Luo M, Wang R, Lu P, Lu W, Lu L. Big Data in Health Care: Applications and Challenges. Data and Information Management 2018;2(3):175 View
  67. Safavi K, Driscoll W, Wiener-Kronish J. Remote Surveillance Technologies: Realizing the Aim of Right Patient, Right Data, Right Time. Anesthesia & Analgesia 2019;129(3):726 View
  68. Targarona E, Balla A, Batista G. Big Data and Surgery: The Digital Revolution Continues. Cirugía Española (English Edition) 2018;96(5):247 View
  69. Bhardwaj N, Cecchetti A, Murughiyan U, Neitch S. Analysis of Benzodiazepine Prescription Practices in Elderly Appalachians with Dementia via the Appalachian Informatics Platform: Longitudinal Study. JMIR Medical Informatics 2020;8(8):e18389 View
  70. Monaco A, Maggi S, De Cola P, Hassan T, Palmer K, Donde S. Information and communication technology for increasing healthy ageing in people with non-communicable diseases: identifying challenges and further areas for development. Aging Clinical and Experimental Research 2019;31(11):1689 View
  71. Matheus R, Janssen M, Janowski T. Design principles for creating digital transparency in government. Government Information Quarterly 2021;38(1):101550 View
  72. Zhang C, Fanaee-T H, Thoresen M. Feature extraction from unequal length heterogeneous EHR time series via dynamic time warping and tensor decomposition. Data Mining and Knowledge Discovery 2021;35(4):1760 View
  73. Mwitondi K, Munyakazi I, Gatsheni B. A robust machine learning approach to SDG data segmentation. Journal of Big Data 2020;7(1) View
  74. Walsh K, Wroe C. Clinical decision support: what will happen in the 2020s?. Postgraduate Medical Journal 2021;97(1144):72 View
  75. Thapa C, Camtepe S. Precision health data: Requirements, challenges and existing techniques for data security and privacy. Computers in Biology and Medicine 2021;129:104130 View
  76. 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
  77. Wehrens R, Sihag V, Sülz S, van Elten H, van Raaij E, de Bont A, Weggelaar-Jansen A. Understanding the Uptake of Big Data in Health Care: Protocol for a Multinational Mixed-Methods Study. JMIR Research Protocols 2020;9(10):e16779 View
  78. Miah S, Camilleri E, Vu H. Big Data in Healthcare Research: A survey study. Journal of Computer Information Systems 2022;62(3):480 View
  79. Ren Z, Peng B, Schleyer T, Ning X. Hybrid collaborative filtering methods for recommending search terms to clinicians. Journal of Biomedical Informatics 2021;113:103635 View
  80. Zurfley F, Ramsey M. Open access literature for dermatologists and dermatologic surgeons. International Journal of Dermatology 2021;60(6) View
  81. Nayak B, Bhattacharyya S. The Changing Narrative in the Health Insurance Industry: Wearables Technology in Health Insurance Products and Services for the COVID-19 World. Journal of Health Management 2020;22(4):550 View
  82. Chen T, Shang C, Su P, Keravnou-Papailiou E, Zhao Y, Antoniou G, Shen Q. A Decision Tree-Initialised Neuro-fuzzy Approach for Clinical Decision Support. Artificial Intelligence in Medicine 2021;111:101986 View
  83. Wong J, Manderson T, Abrahamowicz M, Buckeridge D, Tamblyn R. Can Hyperparameter Tuning Improve the Performance of a Super Learner?. Epidemiology 2019;30(4):521 View
  84. Chua Y, Xie Y, Lee P, Lee E. Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review. International Journal of Environmental Research and Public Health 2021;18(4):1673 View
  85. Borges do Nascimento I, Marcolino M, Abdulazeem H, Weerasekara I, Azzopardi-Muscat N, Gonçalves M, Novillo-Ortiz D. Impact of Big Data Analytics on People’s Health: Overview of Systematic Reviews and Recommendations for Future Studies. Journal of Medical Internet Research 2021;23(4):e27275 View
  86. He W, Kirchoff K, Sampson R, McGhee K, Cates A, Obeid J, Lenert L. Research Integrated Network of Systems (RINS): a virtual data warehouse for the acceleration of translational research. Journal of the American Medical Informatics Association 2021;28(7):1440 View
  87. Hamdi Y, Zass L, Othman H, Radouani F, Allali I, Hanachi M, Okeke C, Chaouch M, Tendwa M, Samtal C, Mohamed Sallam R, Alsayed N, Turkson M, Ahmed S, Benkahla A, Romdhane L, Souiai O, Tastan Bishop Ö, Ghedira K, Mohamed Fadlelmola F, Mulder N, Kamal Kassim S. Human OMICs and Computational Biology Research in Africa: Current Challenges and Prospects. OMICS: A Journal of Integrative Biology 2021;25(4):213 View
  88. Fylan F, Fylan B. Co-creating social licence for sharing health and care data. International Journal of Medical Informatics 2021;149:104439 View
  89. Caruso R, Arrigoni C, Conte G, Rocco G, Dellafiore F, Ambrogi F, Stievano A. The Byzantine Role of Big Data Application in Nursing Science. CIN: Computers, Informatics, Nursing 2021;39(4):178 View
  90. Hong L, Luo M, Wang R, Lu P, Lu W, Lu L. Big Data in Health Care: Applications and Challenges. Data and Information Management 2019;0(0) View
  91. Singh R, Agrawal S, Sahu A, Kazancoglu Y. Strategic issues of big data analytics applications for managing health-care sector: a systematic literature review and future research agenda. The TQM Journal 2023;35(1):262 View
  92. Goldberg M, Zins M. Le Health Data Hub (suite). médecine/sciences 2021;37(3):271 View
  93. Patel S, Jhass A, Slee A, Hopkins S, Shallcross L. Variation in approaches to antimicrobial use surveillance in high-income secondary care settings: a systematic review. Journal of Antimicrobial Chemotherapy 2021;76(8):1969 View
  94. Connolly J, Staines A, Connolly R, Davis P, Boilson A. Impact Evaluation of an Emerging European Health Project – the MIDAS Model. Business Systems Research Journal 2020;11(1):142 View
  95. Papazisis G, Spachos D, Siafis S, Pandria N, Deligianni E, Tsakiridis I, Goulas A. Assessment of the Safety Signal for the Abuse Potential of Pregabalin and Gabapentin Using the FAERS Database and Big Data Search Analytics. Frontiers in Psychiatry 2021;12 View
  96. Shah Y, Soni S, Patel M. Artificial intelligence in healthcare. Indian Journal of Pharmacy and Pharmacology 2021;8(2):102 View
  97. Pesapane F, Rotili A, Agazzi G, Botta F, Raimondi S, Penco S, Dominelli V, Cremonesi M, Jereczek-Fossa B, Carrafiello G, Cassano E. Recent Radiomics Advancements in Breast Cancer: Lessons and Pitfalls for the Next Future. Current Oncology 2021;28(4):2351 View
  98. Kaur N, Bhattacharya S, Butte A. Big Data in Nephrology. Nature Reviews Nephrology 2021;17(10):676 View
  99. Crisan E, Mihaila A. Health-care information systems adoption – a review of management practices. Vilakshan - XIMB Journal of Management 2023;20(1):130 View
  100. Khan A, Khan M, Khan J, Ahmad A, Khan K, Zamir M, Kim W, Ijaz M. Analyzing and Evaluating Critical Challenges and Practices for Software Vendor Organizations to Secure Big Data on Cloud Computing: An AHP-Based Systematic Approach. IEEE Access 2021;9:107309 View
  101. Wijnhoven F. Organizational Learning for Intelligence Amplification Adoption: Lessons from a Clinical Decision Support System Adoption Project. Information Systems Frontiers 2022;24(3):731 View
  102. El Samad M, El Nemar S, Sakka G, El-Chaarani H. An innovative big data framework for exploring the impact on decision-making in the European Mediterranean healthcare sector. EuroMed Journal of Business 2022;17(3):312 View
  103. Hornung A, Hornung C, Mallow G, Barajas J, Espinoza Orías A, Galbusera F, Wilke H, Colman M, Phillips F, An H, Samartzis D. Artificial intelligence and spine imaging: limitations, regulatory issues and future direction. European Spine Journal 2022;31(8):2007 View
  104. de Waure C, Calabrò G, Ricciardi W. Recommendations to drive a value-based decision-making on vaccination. Expert Review of Vaccines 2022;21(3):289 View
  105. Lau P, Nandy M, Chakraborty S. Accelerating UN Sustainable Development Goals with AI-Driven Technologies: A Systematic Literature Review of Women’s Healthcare. Healthcare 2023;11(3):401 View
  106. Deshmukh K, Khanna A, Periwal P, Khurana S. GOOGLE TRENDS AND QUERIES FOR CHRONIC RESPIRATORY DISEASES – A NEW TOOL FOR PHYSICIANS TREATING RESPIRATORY DISEASES.. PARIPEX INDIAN JOURNAL OF RESEARCH 2021:32 View
  107. Piovani D, Bonovas S. Real World—Big Data Analytics in Healthcare. International Journal of Environmental Research and Public Health 2022;19(18):11677 View
  108. Bai E, Song S, Fraser H, Ranney M. A Graphical Toolkit for Longitudinal Dataset Maintenance and Predictive Model Training in Health Care. Applied Clinical Informatics 2022;13(01):056 View
  109. Chen M, Gharavi H, Wang L, Leung V, Liu Z, Humar I. Guest Editorial Sensing Psychological Parameters and AI-Enabled Emotion Care for Human Wellness. IEEE Journal of Biomedical and Health Informatics 2022;26(8):3594 View
  110. Badrouchi S, Bacha M, Hedri H, Ben Abdallah T, Abderrahim E. Toward generalizing the use of artificial intelligence in nephrology and kidney transplantation. Journal of Nephrology 2022;36(4):1087 View
  111. Wang M, Li S, Zheng T, Li N, Shi Q, Zhuo X, Ding R, Huang Y. Big Data Health Care Platform With Multisource Heterogeneous Data Integration and Massive High-Dimensional Data Governance for Large Hospitals: Design, Development, and Application. JMIR Medical Informatics 2022;10(4):e36481 View
  112. Strauss A, Morgan C, El Khuri C, Slogeris B, Smith A, Klein E, Toerper M, DeAngelo A, Debraine A, Peterson S, Gurses A, Levin S, Hinson J. A Patient Outcomes–Driven Feedback Platform for Emergency Medicine Clinicians: Human-Centered Design and Usability Evaluation of Linking Outcomes Of Patients (LOOP). JMIR Human Factors 2022;9(1):e30130 View
  113. Angerer A, Stahl J, Krasniqi E, Banning S. The Management Perspective in Digital Health Literature: Systematic Review. JMIR mHealth and uHealth 2022;10(11):e37624 View
  114. Ahmed A, Agus M, Alzubaidi M, Aziz S, Abd-Alrazaq A, Giannicchi A, Househ M. Overview of the role of big data in mental health: A scoping review. Computer Methods and Programs in Biomedicine Update 2022;2:100076 View
  115. Miah M, Miah S, Venkatraman S. Blockchain: At a glance idea for information science researchers. Journal of Information and Optimization Sciences 2021;42(7):1589 View
  116. Rao A, Garai S, Dey S, Peng H. PIKS: A Technique to Identify Actionable Trends for Policy-Makers Through Open Healthcare Data. SN Computer Science 2021;2(6) View
  117. Taipalus T, Isomöttönen V, Erkkilä H, Äyrämö S. Data Analytics in Healthcare: A Tertiary Study. SN Computer Science 2022;4(1) View
  118. Batko K, Ślęzak A. The use of Big Data Analytics in healthcare. Journal of Big Data 2022;9(1) View
  119. Yoo J, Hur S, Hwang W, Cha W. Healthcare Professionals’ Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study. Healthcare Informatics Research 2023;29(1):64 View
  120. Ng W, Tan T, Movva P, Fang A, Yeo K, Ho D, Foo F, Xiao Z, Sun K, Wong T, Sia A, Ting D. Blockchain applications in health care for COVID-19 and beyond: a systematic review. The Lancet Digital Health 2021;3(12):e819 View
  121. Green S, Hillersdal L, Holt J, Hoeyer K, Wadmann S. The practical ethics of repurposing health data: how to acknowledge invisible data work and the need for prioritization. Medicine, Health Care and Philosophy 2023;26(1):119 View
  122. Hinson J, Klein E, Smith A, Toerper M, Dungarani T, Hager D, Hill P, Kelen G, Niforatos J, Stephens R, Strauss A, Levin S. Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions. npj Digital Medicine 2022;5(1) View
  123. Lee W, Schwartz N, Bansal A, Khor S, Hammarlund N, Basu A, Devine B. A Scoping Review of the Use of Machine Learning in Health Economics and Outcomes Research: Part 1—Data From Wearable Devices. Value in Health 2023;26(2):292 View
  124. Khan A, Khan M, Khan J, Khan J, Gul W. Identification and prioritization of security challenges of big data on cloud computing based on SLR: A fuzzy‐TOPSIS analysis approach. Journal of Software: Evolution and Process 2021;33(12) View
  125. Tang P, Tam I, Jia Y, Leung S. Big Data Reality Check (BDRC) for public health: to what extent the environmental health and health services research did meet the ‘V’ criteria for big data? A study protocol. BMJ Open 2022;12(3):e053447 View
  126. Amin S, Hossain M. Edge Intelligence and Internet of Things in Healthcare: A Survey. IEEE Access 2021;9:45 View
  127. Jimma B. Artificial intelligence in healthcare: A bibliometric analysis. Telematics and Informatics Reports 2023;9:100041 View
  128. Subramanian H. A Decentralized Marketplace for Patient-Generated Health Data: Design Science Approach. Journal of Medical Internet Research 2023;25:e42743 View
  129. Misra S, Mukhopadhyay K. Data harnessing to nurture the human mind for a tailored approach to the child. Pediatric Research 2023;93(2):357 View
  130. Maina A, Singh U. Rebuilding Stakeholder Confidence in Health-Relevant Big Data Applications: A Social Representations Perspective. Information 2022;13(9):441 View
  131. Hassanin M, Hamada M. A Big Data strategy to reinforce self-sustainability for pharmaceutical companies in the digital transformation era: A case study of Egyptian pharmaceutical companies. African Journal of Science, Technology, Innovation and Development 2022;14(7):1870 View
  132. Ziegler J, Rush B, Gottlieb E, Celi L, Armengol de la Hoz M, Fraser H. High resolution data modifies intensive care unit dialysis outcome predictions as compared with low resolution administrative data set. PLOS Digital Health 2022;1(10):e0000124 View
  133. Zong N, Wen A, Moon S, Fu S, Wang L, Zhao Y, Yu Y, Huang M, Wang Y, Zheng G, Mielke M, Cerhan J, Liu H. Computational drug repurposing based on electronic health records: a scoping review. npj Digital Medicine 2022;5(1) View
  134. Klumpp M, Hanelt A, Greve M, Kolbe L, Tofangchi S, Böhrnsen F, Jakob J, Kaczmarek S, Börsting I, Ehmke C, Düsing H, Juhra C. Accelerating the Front End of Medicine: Three Digital Use Cases and HCI Implications. Healthcare 2022;10(11):2176 View
  135. Wehrens R, Stevens M, Kostenzer J, Weggelaar A, de Bont A. Ethics as Discursive Work: The Role of Ethical Framing in the Promissory Future of Data-driven Healthcare Technologies. Science, Technology, & Human Values 2023;48(3):606 View
  136. Henkel M, Stieltjes B. Structured Data Acquisition in Oncology. Oncology 2020;98(6):423 View
  137. Fattahi S, Ura S, Noor-E-Alam M. Decision-Making Using Big Data Relevant to Sustainable Development Goals (SDGs). Big Data and Cognitive Computing 2022;6(2):64 View
  138. Lv H, Natalizio E, Song H, Ashraf S. Guest Editorial Medical Image Analysis Embedded on Microprocessors. IEEE Journal of Biomedical and Health Informatics 2023;27(3):1152 View
  139. Ramsey I, Corsini N, Hutchinson A, Marker J, Eckert M. Challenges and opportunities for using population health data to investigate cancer survivors’ quality of life in Australia. Quality of Life Research 2022;31(10):2977 View
  140. Mann D, Lawrence K. Reimagining Connected Care in the Era of Digital Medicine. JMIR mHealth and uHealth 2022;10(4):e34483 View
  141. Schwarz M, Ward E, Coccetti A, Burton K, Seabrook M, Newnham S, McCamley J, Hartley C. Digital dashboards: a speech pathology case study. Australian Health Review 2022;46(4):501 View
  142. Xia H, Liu L, Tang Y. Basketball Big Data and Visual Management System under Metaheuristic Clustering. Mobile Information Systems 2022;2022:1 View
  143. Yip M, Ackery A, Jamieson T, Mehta S. The Priorities of End Users of Emergency Department Electronic Health Records: Modified Delphi Study. JMIR Human Factors 2023;10:e43103 View
  144. Ma S, Yu J, Qin X, Liu J. Current status and challenges in establishing reference intervals based on real-world data. Critical Reviews in Clinical Laboratory Sciences 2023;60(6):427 View
  145. Pradhan S, Heyn H, Knauss E. Identifying and managing data quality requirements: a design science study in the field of automated driving. Software Quality Journal 2024;32(2):313 View
  146. Cheng T, Ho S, Chien T, Chow J, Chou W. A comprehensive approach for clustering analysis using follower-leading clustering algorithm (FLCA): Bibliometric analysis. Medicine 2023;102(42):e35156 View
  147. Hesso I, Kayyali R, Dolton D, Joo K, Zacharias L, Charalambous A, Lavdaniti M, Stalika E, Ajami T, Acampa W, Boban J, Nabhani-Gebara S. Cancer care at the time of the fourth industrial revolution: an insight to healthcare professionals’ perspectives on cancer care and artificial intelligence. Radiation Oncology 2023;18(1) View
  148. Haig M, Main C, Chávez D, Kanavos P. A Value Framework to Assess Patient-Facing Digital Health Technologies That Aim to Improve Chronic Disease Management: A Delphi Approach. Value in Health 2023;26(10):1474 View
  149. D'Souza R, Dhesi A, Pendry K, Charlton A, Staples S, Watkins N, Murphy M. Comparing transfusion practice at multiple hospitals using electronically collected and analysed data. Transfusion Medicine 2023;33(6):453 View
  150. Abi Saad E, Tremblay N, Agogué M. A multi-level perspective on innovation intermediaries: The case of the diffusion of digital technologies in healthcare. Technovation 2024;129:102899 View
  151. Gupta N, Kumar P. Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine. Computers in Biology and Medicine 2023;162:107051 View
  152. Watson E, Fletcher-Watson S, Kirkham E. Views on sharing mental health data for research purposes: qualitative analysis of interviews with people with mental illness. BMC Medical Ethics 2023;24(1) View
  153. Yu J, Shen N, Conway S, Hiebert M, Lai-Zhao B, McCann M, Mehta R, Miranda M, Putterman C, Santisteban J, Thomson N, Young C, Chiuccariello L, Hunter K, Hill S. A holistic approach to integrating patient, family, and lived experience voices in the development of the BrainHealth Databank: a digital learning health system to enable artificial intelligence in the clinic. Frontiers in Health Services 2023;3 View
  154. Rahul K, Banyal R, Arora N. A systematic review on big data applications and scope for industrial processing and healthcare sectors. Journal of Big Data 2023;10(1) View
  155. Scali S, Stone D. The role of big data, risk prediction, simulation, and centralization for emergency vascular problems: Lessons learned and future directions. Seminars in Vascular Surgery 2023;36(2):380 View
  156. Güven A, Özdede M, Şener Y, Yıldırım A, Altıntop S, Yeşilyurt B, Uyaroğlu O, Tanrıöver M. Evaluation of machine learning algorithms for renin-angiotensin-aldosterone system inhibitors associated renal adverse event prediction. European Journal of Internal Medicine 2023;114:74 View
  157. Drazen J, Kohane I, Leong T, Sahni N, Carrus B. Artificial Intelligence in U.S. Health Care Delivery. New England Journal of Medicine 2023;389(4):348 View
  158. Wolff J, Stupin J, Olschewski J, Pirmorady Sehouli A, Maier A, Fofana M, Raue J, Finke G, Sehouli J. Digital therapeutic to improve cancer-related well-being: a pilot randomized controlled trial. International Journal of Gynecologic Cancer 2023;33(7):1118 View
  159. Main C, Haig M, Chavez D, Kanavos P. Assessing the Value of Provider-Facing Digital Health Technologies Used in Chronic Disease Management: Toward a Value Framework Based on Multistakeholder Perceptions. Medical Decision Making 2024;44(1):28 View
  160. Chakraborty C, Bhattacharya M, Pal S, Lee S. From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare. Current Research in Biotechnology 2024;7:100164 View
  161. Miah M. The Role of Fintech in Bridging the Divide for Economic Empowerment. Economics and Business 2023;37(1):206 View
  162. Miah M. A Comprehensive Study on the Use of Blockchain Technology in Healthcare. Information Technology and Management Science 2023;26:1 View
  163. Hussain F, Nauman M, Alghuried A, Alhudhaif A, Akhtar N. Leveraging Big Data Analytics for Enhanced Clinical Decision-Making in Healthcare. IEEE Access 2023;11:127817 View
  164. Momaya V, Hameed B, Adhikari K, Das M, Talyshinskii A, Naik N, Somani B, Chlosta P, Rai B. Revolutionizing Organ Donation With Blockchain Technology. Journal of Computers, Mechanical and Management 2023;2(5):31 View
  165. Shahbakhsh F, Khajouei R, Sabahi A, Mehdipour Y, Ahmadian L. Determining the frequency of reporting laboratory data in summary sheets of patients in a pediatric ward based on the classification of diagnoses in ICD-10. Clinical Epidemiology and Global Health 2024;25:101482 View
  166. Tsangaris E, Hyland C, Liang G, O’Gorman J, Huerta D, Kim E, Edelen M, Pusic A. Feasibility of implementing patient-reported outcome measures into routine breast cancer care delivery using a novel collection and reporting platform. JAMIA Open 2023;6(4) View
  167. Giddings R, Joseph A, Callender T, Janes S, van der Schaar M, Sheringham J, Navani N. Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review. The Lancet Digital Health 2024;6(2):e131 View
  168. Abdul Qayyum Neyyar Z, Alaparthi G, Bairapareddy K, Amaravadi S. A survey on awareness of the disease and pulmonary rehabilitation in bronchial asthma patients in the United Arab Emirates. PLOS ONE 2024;19(1):e0294463 View
  169. Maeshiro R, Jarris Y, Prunuske J, Carney J, Strelnick A, Townsend J, Krane N, Johnson S, Howley L, Cashman S, Deyton L, Ortega L, Lebwohl B, Fair M. Public and Population Health in U.S. Medical Education: A Review of Guidance in Extraordinary Times. Academic Medicine 2023;98(12):1366 View
  170. Wehrens R, Wallenburg I, Oldenhof L. Sphere transgressions in health and social care: reflections on the role of the embedded social scientist. Information, Communication & Society 2024:1 View
  171. Jagadeesh Kannan R, Manningal M. A sustainable health and educational goal development (SHEGD) prediction using metaheuristic extreme learning algorithms. Automatika 2024;65(3):716 View
  172. Miah M, Venkatraman S. Artificial Intelligence for Early Detection and Diagnosis of COVID-19: Immense Potential of a Powerful Technology. Journal of Health Management 2024;26(2):369 View
  173. Noguera Aguilar J. Digital imaging, virtual and augmented reality. Cirugía Española (English Edition) 2024;102:S30 View
  174. Hinson J, Zhao X, Klein E, Badaki‐Makun O, Rothman R, Copenhaver M, Smith A, Fenstermacher K, Toerper M, Pekosz A, Levin S. Multisite development and validation of machine learning models to predict severe outcomes and guide decision‐making for emergency department patients with influenza. Journal of the American College of Emergency Physicians Open 2024;5(2) View
  175. Noguera Aguilar J. Imagen digital, realidad virtual y aumentada. Cirugía Española 2024;102:S30 View
  176. Malik N, Harding K, Garcia A. The influence of COVID-19 on health seeking behaviors among students attending a minority-serving institution in the U.S. Journal of American College Health 2024:1 View
  177. Hendriks A, Hacking C, Verbeek H, Aarts S. Data science techniques to gain novel insights into quality of care: a scoping review of long-term care for older adults. Exploration of Digital Health Technologies 2024:67 View
  178. Kapadi A, Price G, Faivre-Finn C, Holley R, Wicks K, Banfill K, Webster G, Franks K, McDonald F, Johnson D, French D. Feasibility of implementing a rapid-learning methodology to inform radiotherapy treatments: key professional stakeholders’ views. BMJ Oncology 2024;3(1):e000226 View
  179. Al Zaabi M, Alhashmi S. Big data security and privacy in healthcare: A systematic review and future research directions. Information Development 2024 View
  180. Gholamhosseini L, Sadoughi F, Rezayi S, Nasiri S. Identifying cloud internet of things requirements in healthcare: a Delphi-based study. The Journal of Supercomputing 2024;80(14):20201 View
  181. Welten S, de Arruda Botelho Herr M, Hempel L, Hieber D, Placzek P, Graf M, Weber S, Neumann L, Jugl M, Tirpitz L, Kindermann K, Geisler S, Bonino da Silva Santos L, Decker S, Pfeifer N, Kohlbacher O, Kirsten T. A study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis. Scientific Data 2024;11(1) View
  182. Fernandes J, Cardoso V, Comesaña-Campos A, Pinheira A. Comprehensive Review: Machine and Deep Learning in Brain Stroke Diagnosis. Sensors 2024;24(13):4355 View
  183. Khosravi M, Izadi R, Shojaei P, Delavari S. Strategies to promote patient‐centeredness within the healthcare industry: A grey‐based multicriteria decision making methods. Journal of Evaluation in Clinical Practice 2024;30(8):1585 View
  184. Farrell P, Mezoff E. Structured gastrointestinal pathology data acquisition and reporting: A strong foundation to improve care. Journal of Pediatric Gastroenterology and Nutrition 2024;79(3):451 View
  185. Munzone E, Marra A, Comotto F, Guercio L, Sangalli C, Lo Cascio M, Pagan E, Sangalli D, Bigoni I, Porta F, D'Ercole M, Ritorti F, Bagnardi V, Fusco N, Curigliano G. Development and Validation of a Natural Language Processing Algorithm for Extracting Clinical and Pathological Features of Breast Cancer From Pathology Reports. JCO Clinical Cancer Informatics 2024;(8) View
  186. Khosravi M, Mojtabaeian S, Zare Z. Factors influencing the use of big data within healthcare services: a systematic review. Health Information Management Journal 2024 View
  187. Hossein Motlagh N, Zuniga A, Thi Nguyen N, Flores H, Wang J, Tarkoma S, Prosperi M, Helal S, Nurmi P. Population Digital Health: Continuous Health Monitoring and Profiling at Scale. Online Journal of Public Health Informatics 2024;16:e60261 View
  188. Chavosh Nejad M, Vestergaard Matthiesen R, Dukovska-Popovska I, Jakobsen T, Johansen J. Machine learning for predicting duration of surgery and length of stay: A literature review on joint arthroplasty. International Journal of Medical Informatics 2024;192:105631 View
  189. Sternberg R, Wong C, Baydil B. Understanding and Assessing Scientific Wisdom. Roeper Review 2024;46(4):304 View
  190. Nakayama L, Matos J, Quion J, Novaes F, Mitchell W, Mwavu R, Hung C, Santiago A, Phanphruk W, Cardoso J, Celi L, Wong A. Unmasking biases and navigating pitfalls in the ophthalmic artificial intelligence lifecycle: A narrative review. PLOS Digital Health 2024;3(10):e0000618 View
  191. Fujita M, Dai Y, Kitadai A, Lugo S, Cheng Z, Nishino N. Survey on Stakeholder Cooperative Behavior for Designing Voluntary Medical Data Provision Motivation Mechanisms. Procedia CIRP 2024;126:14 View
  192. Nally D, Kearns E, Dalli J, Moynagh N, Hanley K, Neary P, Cahill R. Patient public perspectives on digital colorectal cancer surgery (DALLAS). European Journal of Surgical Oncology 2024:108705 View
  193. Yang Y, Liu Y, Chen Y, Luo D, Xu K, Zhang L. Artificial intelligence for predicting treatment responses in autoimmune rheumatic diseases: advancements, challenges, and future perspectives. Frontiers in Immunology 2024;15 View
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Books/Policy Documents

  1. Charapaqui-Miranda S, Arapa-Apaza K, Meza-Rodriguez M, Chacon-Torrico H. Information Management and Big Data. View
  2. Boone D, Weisz H, Sell S, Hellmich H. Laser Capture Microdissection. View
  3. Kaur P, Sharma M. Intelligent Data Analysis. View
  4. Khedo K, Baichoo S, Nagowah S, Nagowah L, Mungloo-Dilmohamud Z, Cadersaib Z, Cheerkoot-Jalim S. IoT and ICT for Healthcare Applications. View
  5. Pognan F. Drug-Induced Liver Toxicity. View
  6. Arfat Y, Usman S, Mehmood R, Katib I. Smart Infrastructure and Applications. View
  7. Martinez-Mosquera D, Luján-Mora S, Montoya L. L, Reyes Ch. R, Paredes Calderón M. Advances in Emerging Trends and Technologies. View
  8. Juzwishin D. Big Data, Big Challenges: A Healthcare Perspective. View
  9. Lewis K, Pham C, Batarseh F. Data Democracy. View
  10. Monsen K. Intervention Effectiveness Research: Quality Improvement and Program Evaluation. View
  11. Naqishbandi T, Ayyanathan N. Advances in Decision Sciences, Image Processing, Security and Computer Vision. View
  12. Wijnhoven F. Human Centred Intelligent Systems. View
  13. Anam , Haque M. Big Data Analytics and Intelligence: A Perspective for Health Care. View
  14. Persico V. Encyclopedia of Big Data Technologies. View
  15. Persico V. Encyclopedia of Big Data Technologies. View
  16. França R, Borges Monteiro A, Arthur R, Iano Y. Trends in Deep Learning Methodologies. View
  17. Awotunde J, Jimoh R, Oladipo I, Abdulraheem M. Information and Communication Technology and Applications. View
  18. Umar Otokiti A. Contemporary Topics in Patient Safety - Volume 1. View
  19. Spruit M, de Vries N. Research and Innovation Forum 2020. View
  20. Seoane F, Traver V, Hazelzet J. Interactive Process Mining in Healthcare. View
  21. Arora M, Adholeya R, Sharan S. Applications of Big Data in Healthcare. View
  22. Dash S, Gantayat P, Das R. Blockchain Technology: Applications and Challenges. View
  23. Moylett S. Big Data in Psychiatry #x0026; Neurology. View
  24. Awotunde J, Jimoh R, Oladipo I, Abdulraheem M, Jimoh T, Ajamu G. Artificial Intelligence for COVID-19. View
  25. Hocke-Bolte Z, Peters B, Haunit T. Forschungsmethoden in der Gesundheitsförderung und Prävention. View
  26. Khalifa M, Househ M. Multiple Perspectives on Artificial Intelligence in Healthcare. View
  27. Tan R, Neo P, Lim J, Ong S. Handbook of Social Sciences and Global Public Health. View
  28. Issom D. Sickle Cell Disease. View
  29. De Cecco C, Zhang J, van Assen M, Wessell J, Leiner T, Lu B. Artificial Intelligence in Cardiothoracic Imaging. View
  30. Sachdev D, Pokhriyal S, Nechully S, Sundaram S. Deep Learning Technologies for the Sustainable Development Goals. View
  31. Awotunde J, Adeniyi E, Kolawole P, Ogundokun R. Data Science for COVID-19. View
  32. Raj R, Daneshgar F, Borhan N. Proceedings of Sixth International Congress on Information and Communication Technology. View
  33. Aarts S. Moral design and technology. View
  34. Kalokairinou L. L’avenir des Silver Tech. View
  35. Sivarethinamohan R, Sujatha S. Proceedings of 2nd International Conference on Artificial Intelligence: Advances and Applications. View
  36. Chaithra M, Vagdevi S. Intelligent Sustainable Systems. View
  37. Barla N, Almeida S, Almeida M. Confluence of Artificial Intelligence and Robotic Process Automation. View
  38. Lopes J, Sousa R, Abelha A, Machado J. Big Data Technologies and Applications. View
  39. Tan R, Neo P, Lim J, Ong S. Handbook of Social Sciences and Global Public Health. View
  40. Lu Y. Digital Transformation in Healthcare in Post-Covid-19 Times. View
  41. Eom S, Eom S, Washington P. Machine Learning for Multimodal Healthcare Data. View
  42. Pourroostaei Ardakani S, Cheshmehzangi A. Big Data Analytics for Smart Transport and Healthcare Systems. View
  43. Schulte T. Handbuch Digitale Gesundheitswirtschaft. View
  44. Freitas A, Souza J, Caballero I. Data Governance. View
  45. Gupta Y, Bhandary S. Artificial Intelligence and Machine Learning in Drug Design and Development. View
  46. Niha K, Surendiran B, Amutha S. Data Management, Analytics and Innovation. View
  47. Monsen K. Intervention Effectiveness Research: Quality Improvement and Program Evaluation in Healthcare. View
  48. Sharma P, Gupta M, Kalra R. Next Generation eHealth. View