Decision-Support Systems in Health Care: Factors Influencing the Development and Transfer of Technology

1993 ◽  
Vol 9 (3) ◽  
pp. 369-379 ◽  
Author(s):  
Taryn Vian ◽  
Shabira Verjee ◽  
Richard B. Siegrist
Keyword(s):  
Health Care ◽  
Decision Support ◽  
Decision Support Systems ◽  
Health Care Costs ◽  
Support Systems ◽  
Cost Information ◽  
Future Directions ◽  
Factors Influencing ◽  
Transfer Of Technology ◽  
Care Costs

AbstractNational concern about escalating health care costs and inefficiencies in delivery systems has created demand for informatics technology such as decision-support systems. This paper discusses the pressing need for better cost information in health care and how decision-support technology meets this need. Future directions for the technology also are discussed.

Factors Influencing Two-Year Health Care Costs in Patients Undergoing Revision Lumbar Fusion Procedures: A Guide to Where Should We Target Our Cost and Quality Improvement Initiatives

2012 ◽  
Vol 12 (9) ◽  
pp. S9-S10
Author(s):  
Scott L. Parker ◽  
Saniya S. Godil ◽  
David N. Shau ◽  
Stephen K. Mendenhall ◽  
Clinton J. Devin ◽  
...  
Keyword(s):  
Health Care ◽  
Quality Improvement ◽  
Health Care Costs ◽  
Lumbar Fusion ◽  
Factors Influencing ◽  
Care Costs

scholarly journals Evaluation of User-Interface Alert Displays for Clinical Decision Support Systems for Sepsis

2018 ◽  
Vol 38 (4) ◽  
pp. 46-54 ◽  
Author(s):  
Devida Long ◽  
Muge Capan ◽  
Susan Mascioli ◽  
Danielle Weldon ◽  
Ryan Arnold ◽  
...  
Keyword(s):  
Health Care ◽  
Decision Support ◽  
User Interface ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Health Care Providers ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Care Providers

BACKGROUND Hospitals are increasingly turning to clinical decision support systems for sepsis, a life-threatening illness, to provide patient-specific assessments and recommendations to aid in evidence-based clinical decision-making. Lack of guidelines on how to present alerts has impeded optimization of alerts, specifically, effective ways to differentiate alerts while highlighting important pieces of information to create a universal standard for health care providers. OBJECTIVE To gain insight into clinical decision support systems–based alerts, specifically targeting nursing interventions for sepsis, with a focus on behaviors associated with and perceptions of alerts, as well as visual preferences. METHODS An interactive survey to display a novel user interface for clinical decision support systems for sepsis was developed and then administered to members of the nursing staff. RESULTS A total of 43 nurses participated in 2 interactive survey sessions. Participants preferred alerts that were based on an established treatment protocol, were presented in a pop-up format, and addressed the patient’s clinical condition rather than regulatory guidelines. CONCLUSIONS The results can be used in future research to optimize electronic medical record alerting and clinical practice workflow to support the efficient, effective, and timely delivery of high-quality care to patients with sepsis. The research also may advance the knowledge base of what information health care providers want and need to improve the health and safety of their patients.

FUTURE DIRECTIONS FOR DEVELOPING DECISION SUPPORT SYSTEMS

1980 ◽  
Vol 11 (4) ◽  
pp. 616-631 ◽  
Author(s):  
Robert H. Bonczek ◽  
Clyde W. Holsapple ◽  
Andrew B. Whinston
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Future Directions
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