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Support of Healthcare needs of
NW London Population using
Business Intelligence
NAME:
INSTRUCTOR:
DATE OF SUBMISSION:
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
Key Problem Areas NWL
 Longer time of disease detection
 Increased costs due to late detection
 Challenges in (mis)diagnosis
 Potential cases of insurance fraud
Role of BI in Healthcare improvement
 Identify observed patterns
 Monitor patient progress
 Quick diagnosis (Demirkan, 2013)
 Converge expert opinion
 Personalized care
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)
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
Patient Centered Approach
 Increased transparency
 Respect for patient view point
 Inclusion of family in decision making
 Collaborative care based on data
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)
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
Data Warehousing
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
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
Conclusions
 BI critical for patient centered service
 Accuracy and security
 Reduced errors
 Improved collaboration (decision making)
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.

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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.