2015, big data in healthcare: For whom the bell tolls?

Critical Care

Volumn 19, Issue 1, 2015, Pages

  Van Poucke, Sven ^a   Thomeer, Michiel ^a   Hadzic, Admir ^a  

^a DEPARTMENT OF CARDIOLOGY   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ANALYSIS; DATA MINING; DATA PROCESSING; HEALTH CARE; HEALTH CARE COST; HOSPITAL READMISSION; HUMAN; INFORMATION PROCESSING; KNOWLEDGE; LETTER; MEDICAL DECISION MAKING; MEDICAL INFORMATION; MEDICAL PRACTICE; MEDICAL TECHNOLOGY; ONTOLOGY; PHYSICIAN; PRIORITY JOURNAL; RISK ASSESSMENT; STANDARDIZATION; DATA BASE; MEASUREMENT ACCURACY; STANDARDS;

DATA ACCURACY; DATABASES AS TOPIC; HUMANS;

EID: 84926285194     PISSN: 13648535     EISSN: 1466609X     Source Type: Journal    
DOI: 10.1186/s13054-015-0895-8     Document Type: Letter

References (9)

1. Henry NL. Knowledge management: a new concern for public administration. Public Administration Rev. 1974;34:189-96.
2. Groves P, Kayyali B, Knott D, Van Kuiken S. The big data revolution in healthcare. Accelerating value and innovation. McKinsey Global Institute: New York, NY; 2013.
3. Pathak J, Shah ND. Why health care may finally be ready for big data. Harvard Business Review. 2014. https://hbr.org/2014/12/why-health-care-may-finally-be-ready-for-big-data.
4. Herland M, Khoshgoftaar TM, Wald R. A review of data mining using big data in health informatics. J Big Data. 2014;1:2.
5. Diamandis EP. The hundred person wellness project and Googles baseline study: medical revolution or unnecessary and potentially harmful over-testing? BMC Med. 2015;3:5.
6. Daghavan D. Big data: not really the same as level 1 data. Oncology (Williston Park). 2015;29:70, 72.
7. Smith B, Ashburner M, Rosse C, Bard J, Bug W, Ceusters W, et al. The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration. Nat Biotechnol. 2007;25:1251-5.
8. Lee J, Scott DJ, Villarroel M, Clifford GD, Saeed M, Mark RG. Open-access MIMIC-II database for intensive care research. Conf Proc IEEE Eng Med Biol Soc. 2011;2011:8315-8.
9. Dejam A, Malley BE, Feng M, Cismondi F, Park S, Samani S. The effect of age and clinical circumstances on the outcome of red blood cell transfusion in critically ill patients. Crit Care. 2014;18:487.