NOVEMBER/DECEMBER 2013 RADIOLOGY MANAGEMENT 34
Enhance Hospital Performance from Intellectual Capital to Business Intelligence
7Martínez-Torres A. Procedure to design a
structural and measurement model of
intellectual capital: an exploratory study.
Information & Management. 2006;43:617–
8Edvinsson L, Malone M. Intellectual Capital.
Realizing Your Company’s True Value by
Findings Its Hidden Brainpower. New York:
Harper Collins Publishers. 1997.
9Brooking A. Intellectual Capital. Core Asset for
the Third Millennium Enterprise. London:
International Thomson Business Press.
10Alama EM. Capital intelectual y Resultados
Empresariales en las Empresas de Servicios
Profesionales de Espana. 2008. Universidad
Complutense de Madrid: Madrid.
11Chang S, Chen S, Lai J. The effect of alliance
experience and intellectual capital on the
value creation of international strategic
alliances. Omega. 2008;36:298–316.
12Hamdam H, Vazifeh Damirchi G. Managing
intellectual capital of small and medium
size enterprises in Iran case study: Ardabil
Province SMEs7. Interdisciplinary journal
of contemporary research in business.
2011; 3( 2):233–240.
13Hsu H-Y. Knowledge management and
intellectual capital. 2006, Southern Illinois University at Carbondale: United
States—Illinois. p. 150.
14Hsieh M, Tsai K. Technological capability,
social capital and the launch strategy for
innovative products. Industrial Marketing
15Wu W, Chang M, Chen C. Promoting innovation through the accumulation of intellectual capital, social capital, and
entrepreneurial orientation. R&D Management. 2008;38:265–277.
16Noruzi MR. A study on using knowledge and
wisdom in organization. Interdisciplinary
journal of contemporary research in business.
2011; 2( 10):485–490.
17Wadsworth T, et al. Using business intelligence to improve performance. Healthcare
Financial Management. 2009;63(68–78).
18Gaddum A. Business intelligence for healthcare
organizations . 2010.
19Luhn HP. A business intelligence system.
IBM Journal. 1958; 2( 4):314.
20Herschel R, Jones N. Knowledge management and business intelligence: the importance of integration. 2005; 9( 4):45–55.
21VenetaReaserch. Operational business intel-
ligence: assessing market trends and the use
of BI in operations 2007. Available at:
September 20, 2013.
22Negash S. Business Intelligence. Communications of the Association for Information
23Halal W. Organizational intelligence: what is it,
and how can managers use it? 1997. Available at: http://www.strategy-business.com/
article/12644. Accessed September 20, 2013.
24Bhatt GD. Knowledge management in organizations: Examining the interaction
between technologies, techniques and people. Journal of knowledge management.
25Sveiby K. The New Organizational Wealth:
Managing and Measuring Knowledge Based
Assets. San Fransisco: Berrett-Koehler. 1997.
26Forbes BC. Finance, Business and the Business
of Life. 2003.
27Smalltree H. Business intelligence case
study: Hospital BI helps healthcare. 2006.
Available at: http://searchbusinessanalytics.
intelligence-case-study-Hospital-BI-helps-healthcare. Accessed September 20, 2013.
28Agosta L. Healthcare business intelligence
systems: an IT laggard no more? 2010.
Available at: http://searchbusinessanalytics.
Healthcare-business-intelligence-systems-an-IT-laggard-no-more. Accessed September 20, 2013.
29Wanless S. Increasing Patient Satisfaction with
Business Intelligence. 2011. Available at:
Accessed September 20, 2013.
30Karami M, Setayesh Barhaghi S. The role of
data warehouse in optimizing diseases
management. Health Information Management. 2011; 8( 1):104–110.
31Karami M. Application of data mining and
text mining in agility of healthcare organization. Health Management. 2007; 10( 30):
32Krohn R. Data analytics throughout the healthcare enterprise. Journal of Healthcare Information Management. 2001; 18( 2): 15–18.
33Georga E, et al. Data mining for blood glucose prediction and knowledge discovery
in diabetic patients: the METABO diabetes
modeling and management system. Conf
Proc IEEE Eng Med Biol Soc. 2009:5633–6.
34Lee CH, Chen JC, Tseng VS. A novel data
mining mechanism considering bio-signal
and environmental data with applications
on asthma monitoring. Comput Methods
Programs Biomed . 2011;101( 1):44–61.
35Patil BM, et al. A new approach: role of data
mining in prediction of survival of burn
patients. J Med Syst. 2011; 35( 6):1531–42.
36Lin W, et al. Abnormal diagnosis of emergency department triage explored with data
mining technology: an emergency department at a medical center in Taiwan taken as
an example. Expert Systems with Applications . 2010;37:2733–2741.
37Blais R, Champagne F, Rousseau L. TOCSIN:
a proposed dashboard of indicators to control healthcare-associated infections.
Healthc Q. 2009; 12 Spec No Patient:161–7.
38McLeod B, et al. Matching capacity to
demand: a regional dashboard reduces
ambulance avoidance and improves accessibility of receiving hospitals. Acad Emerg
Med . 2010; 17( 12):1383–9.
39Zaydfudim V, et al. Implementation of a real-time compliance dashboard to help reduce
SICU ventilator-associated pneumonia
with the ventilator bundle. Arch Surg.
40Waitman LR, et al. Adopting real-time surveillance dashboards as a component of an
enterprisewide medication safety strategy.
The Joint Commission Journal on Quality
and Patient Safety. 2011; 37( 7):326–332.
41Park KW, et al. The operating room dash-
board. J Surg Res . 2010;164( 2):294–300.
42Minati L, et al. Bio-image warehouse system:
concept and implementation of a diagno-
sis-based data warehouse for advanced
imaging modalities in neuroradiology.
J Digit Imaging. 2007; 20( 1): 32–41.
43Rubin DL, Desser TS. A data warehouse for
integrating radiologic and pathologic data.
J Am Coll Radiol. 2008; 5( 3):210– 7.
44Lakhani P, Kim W, Langlotz CP. Automated
extraction of critical test values and communications from unstructured radiology
reports: an analysis of 9. 3 million reports
from 1990 to 2011. Radiology.
45Duvauferrier R, et al. Texture analysis software: integration with a radiological work-station. Stud Health Technol Inform.
46Gerstmair A, et al. Intelligent image retrieval
based on radiology reports. Eur Radiol.
2012; 22( 12):2750–8.
47McCollough CH. Automated data mining of
exposure information for dose management and patient safety initiatives in medical imaging. Radiology. 2012;264( 2):322–4.