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How will you ensure that the health needs of North West London's resident population are supported by your business intelligence solutions?
1. Support of Healthcare needs of
NW London Population using
Business Intelligence
NAME:
INSTRUCTOR:
DATE OF SUBMISSION:
2. Introduction
No sector can work without data
BI improves accuracy and access
Accuracy improves service delivery
Cost reduction (Foshay and Kuziemsky, 2014)
Early detection
More accurate diagnosis
3. Key Problem Areas NWL
Longer time of disease detection
Increased costs due to late detection
Challenges in (mis)diagnosis
Potential cases of insurance fraud
4. Role of BI in Healthcare improvement
Identify observed patterns
Monitor patient progress
Quick diagnosis (Demirkan, 2013)
Converge expert opinion
Personalized care
5. Role of data in healthcare improvement (community
and Practitioner perspective)
Better informed decisions (medical and family decisions)
Better management of focus groups
Basis for community research
Influence policy making (community level)
6. Key Aims of NWL Hospital
Provision of excellent and quality patient experience
Collaborative efforts for transformation in services
Sustainability through partnerships (NWL, 2021)
Core values
i. Honesty
ii. Equality
iii. Accountability
iv. Respect
v. Teamwork
7. Patient Centered Approach
Increased transparency
Respect for patient view point
Inclusion of family in decision making
Collaborative care based on data
8. Role of Business intelligence in serving Aims
Improve accountability
Enhance collaboration (teamwork)
Improve transparency (honesty)
Accuracy in diagnosis and error reduction (Transformation in services)
Early detection and humanist services (Patient experience)
9. Key Components of the BI
Real-time response and monitoring (Demirkan, 2013)
Response to needs from geographical locations
Exploitation of data warehousing
Data presentation (dashboards) for staff performance
11. Potential challenges
Education of staff and personnel on usage (Sauter, 2014)
Design and building challenges (for specific org. needs)
Potential under utilization of BI abilities
Consumer orientation of BI usage
12. Approaches to Challenges
Staff training on usage and security
Multiple Design modifications to meet NWL needs
Continuous education on BI capabilities
Change management on BI usage for patients
13. Conclusions
BI critical for patient centered service
Accuracy and security
Reduced errors
Improved collaboration (decision making)
14. References
Demirkan, H. (2013). A smart healthcare systems framework. It Professional, 15(5), 38-45.
Foshay, N., & Kuziemsky, C. (2014). Towards an implementation framework for business
intelligence in healthcare. International Journal of Information Management, 34(1), 20-27.
London North West University Healthcare. (2021, May 19). Our Vision, Goals and
Objectives. Retrieved from London North West University Healthcare:
https://www.lnwh.nhs.uk/vision-goals/
Sauter, V. L. (2014). Decision support systems for business intelligence. John Wiley &
Sons.