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:S59 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. 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. 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 2021:1 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 2021;ahead-of-print(ahead-of-print) 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 View
  99. Crisan E, Mihaila A. Health-care information systems adoption – a review of management practices. Vilakshan - XIMB Journal of Management 2021;ahead-of-print(ahead-of-print) 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

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 [Working Title]. 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