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

Big Data (215)

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

Authors of this article:

Clemens Scott Kruse1 Author Orcid Image ;   Rishi Goswamy1 Author Orcid Image ;   Yesha Jayendrakumar Raval1 Author Orcid Image ;   Sarah Marawi1 Author Orcid Image
Article Authors Cited by (238) Tweetations (50) Metrics

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  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 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 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
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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