We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

A Knowledge Management-based Decision-making Model for Planning Patient Discharge in the UK National Health Service

by Nitya Kamalanathan, Alan Eardley
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 8
Year of Publication: 2015
Authors: Nitya Kamalanathan, Alan Eardley
10.5120/19562-1319

Nitya Kamalanathan, Alan Eardley . A Knowledge Management-based Decision-making Model for Planning Patient Discharge in the UK National Health Service. International Journal of Computer Applications. 111, 8 ( February 2015), 37-47. DOI=10.5120/19562-1319

@article{ 10.5120/19562-1319,
author = { Nitya Kamalanathan, Alan Eardley },
title = { A Knowledge Management-based Decision-making Model for Planning Patient Discharge in the UK National Health Service },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 8 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 37-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number8/19562-1319/ },
doi = { 10.5120/19562-1319 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:47:22.906480+05:30
%A Nitya Kamalanathan
%A Alan Eardley
%T A Knowledge Management-based Decision-making Model for Planning Patient Discharge in the UK National Health Service
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 8
%P 37-47
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The UK National Health Service (NHS) is faced with problems of managing patient discharge and preventing the problems that result from it such as frequent readmissions, delayed discharge, long waiting lists, bed blocking and other such consequences. The problem is exacerbated by the growth in size, complexity and the number of chronic diseases in the NHS. In addition, there is an increase in demand for high quality care, processes and planning. Effective Discharge Planning (DP) requires practitioners to have appropriate, patient personalised and updated knowledge in order to be able to make informed and holistic decisions about a patients' discharge. This research examines the role that Knowledge Management (KM) plays in planning an effective discharge plan. The research examines existing ways in which DP is currently carried out, the stakeholders involved in the DP process and highlights areas requiring further improvement. This research also examines KM models in healthcare and integrates KM with DP in the form of a KM based DP model. The model was developed based on primary research carried out on the stakeholders of DP along with secondary research. The model intends to highlight the nuances that require focusing on, and provides a seamless overview allowing healthcare personnel to impeccably plan the discharge of a patient with the involvement of both patients and their carers. The KM-based DP model is validated by the actors involved in planning the discharge i. e. healthcare personnel. Patients and carers too are involved in DP; however their involvement is focused on their knowledge and experiences influencing the decisions being made. Healthcare personnel such as doctors, nurses and administrators are however actively involved in planning the discharge.

References
  1. Shepperd, S. , McClaran, J. , Phillips, C. , Lannin, N. , Clemson, L. , McCluskey, A. , Barras, S. (2010). Discharge planning from hospital to home. The Cochrane Library, (1), 1–75. Retrieved from http://onlinelibrary. wiley. com/doi/10. 1002/14651858. CD000313. pub3/pdf. Accessed 5th December 2014.
  2. NHS Institute for Innovation and Improvement. (2010). Ready to go - no delays (pp. 1–30). Retrieved from http://www. institute. nhs. uk/images//documents/BuildingCapability/HIA/7. Ready to go. pdf.
  3. Mudge, J. (2003). Discharge from hospital: pathway, process and practice (pp. 1–114). London. Retrieved from http://www. wales. nhs. uk/sitesplus/documents/829/DoH - Discharge Pathway 2003. PDF.
  4. Institute for Healthcare Improvement. (2011). Reducing Avoidable Readmissions. IHI. org. Retrieved June 27, 2013, from http://www. ihi. org/offerings/VirtualPrograms/Expeditions/Reducing_Readmissions/Pages/default. aspx?gclid=CNXls_i_sKoCFZRc4Qod4S1G7Q. Accessed 5th January 2015.
  5. Sg2 Healthcare Intelligence. (2011). Reducing 30-Day Emergency Readmissions (pp. 1–28). Retrieved from http://www. hsj. co. uk/Journals/2/Files/2011/6/15/Sg2_Service Kit_Reducing 30-Day Readmissions. pdf
  6. Stratton, R. and Knight, A. (2010). Managing patient flow using time buffers. Journal of Manufacturing Technology Management, 21 (4), pp. 484-498.
  7. Burton Hospital. (2010). Discharge Policy. Burton. Retrieved from http://www. burtonhospitals. nhs. uk/corporate/docs/policies/Discharge_36. pdf.
  8. Al-Mudimigh, A. S. , Ullah, Z. , & Shahzad, B. (2010). A model for the efficient implementation of portals. 2010 2nd International Conference on Computer Engineering and Technology, 7, 552–554. doi:10. 1109/ICCET. 2010. 5485596.
  9. Knott, L. (2012). Records, Computers and Electronic Health Record. Patient. co. uk. Retrieved January 07, 2013, from http://www. patient. co. uk/doctor/Records-Computers-and-Electronic-Health-Record. htm.
  10. Nemeth, E. M. (2007). Build it [ right ] and They Will Come Clinical Portal Technology, 1–9.
  11. Johnston, D. (2002). Merger of Knowledge Management and Information Technology in Healthcare: Opportunities and Challenges. Evolution, 1–6.
  12. Malhotra, Y. (2000). Knowledge Management & New Organization Forms?: A Framework for Business Model Innovation Knowledge Management & New Organization Forms?: A Framework for Business Model Innovation. Information Resources Management Journal, 13(1), 5–14. NHS (2012). About the NHS. [Online]. 2012.
  13. NHS. Available from: http://www. nhs. uk/NHSEngland/thenhs/about/Pages/overview. aspx. [Accessed: 10 November 2012].
  14. National Patient Safety Agency. (2012). Medical Error. London.
  15. National Prescribing Centre. (2013). Reducing Medication Errors (p. 2). Retrieved from http://www. npc. nhs. uk/improving_safety/improving_safety/resources/Medication_Error/Reducing_5mg. pdf.
  16. Nonaka, I. (2007). Organizational Knowledge Creation. In The Knowledge Advantage Conference. Retrieved from http://www. knowledge-nurture. com/downloads/NONAKA. pdf.
  17. . Wiig, K. M. (2002). New Generation Knowledge Management?: What May We Expect?? Knowledge Research Institute, Inc. 1, 1–9.
  18. Grant, K. A. , & Grant, C. T. (2008). Developing a Model of Next Generation Knowledge Management Stage I?: Knowledge as the Domain of Philosophers and Scientists, 5.
  19. Johnson, P. , & Nile, C. (2011). Discharge of patients from hospital policy (pp. 1–28). Doncaster. Retrieved from http://www. dbh. nhs. uk/Library/Patient_Policies/PAT PA 3 v. 4 - Discharge of Patients from Hospital Policy. pdf.
  20. Nonaka, I. , & Lewin, A. Y. (1994). Dynamic Theory Knowledge of Organizational Creation. Organization Science, 5(1), 14–37. Retrieved from:http://www. ecampus. uvsq. fr/claroline/backends/download. php?url=L05vbmFrYTk0LnBkZg==&cidReset=true&cidReq=MDSDM105Accessed 9th January 2015.
  21. Hannan, A. (2011). Real-Time Digital Medicine, at Christie Hospital Manchester. Available at: http://www. htmc. co. uk/pages/pv. asp?p=htmc0322. Accessed on 5th December 2014.
  22. Family Caregiver Alliance. (2012). Hospital Discharge Planning: A Guide for Families and Caregivers. Family Caregiver Alliance. Retrieved October 04, 2012, from http://www. caregiver. org/caregiver/jsp/content_node. jsp?nodeid=2312.
  23. Kripalani, S. , Jackson, A. T. , Schnipper, J. L. , & Coleman, E. a. (2007). Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists. Journal of Hospital Medicine?: An Official Publication of the Society of Hospital Medicine, 2(5), 314–23. doi:10. 1002/jhm. 228.
  24. Mamon, J. , Steinwachs, D. M. , Fahey, M. , Bone, L. R. , Oktay, J. , & Klein, L. (1992). Impact of hospital discharge planning on meeting patient needs after returning home. Health Services Research, 27(2), 155–75. Retrieved from http://www. pubmedcentral. nih. gov/articlerender. fcgi?artid=1069871&tool=pmcentrez&rendertype=abstract.
  25. Dwivedi, A. , Bali, R. K. , James, a. E. , Naguib, R. N. G. , & 10. Johnston, D. (2002). Merger of knowledge management and information technology in healthcare: opportunities and challenges. In IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No. 02CH37373) (pp. 1194–1199). Ieee. doi:10. 1109/CCECE. 2002. 1013118.
  26. Umble, M. , & Umble, E. J. (2006). Utilizing buffer management to improve performance in a healthcare environment. European Journal of Operational Research, 174(2), 1060–1075. Retrieved from http://www. sciencedirect. com/science/article/pii/S0377221705002948#. Accessed 5th January 2015.
  27. Kiely, R. , & Green, T. (2011). Delayed Transfers of Care (pp. 2–36). Birmingham, England.
  28. Curry, G. Procter, S. J. (2005). The Antecedents of Middle Managers' Strategic Contribution: The Case of a Professional Bureaucracy. Journal of Management Studies. Volume 42, Issue 7, Pp. 1325–1356.
  29. Bali, R. K. and Dwivedi, A. Healthcare Knowledge Management: Issues, Advances and Successes. Springer, New York.
  30. Davenport, T. H. and Prusal, L. (2000) Working Knowledge: How Organisations Manage What They Know. Harvard Business School Press. Boston.
  31. The Economist Intelligence Unit. (2005). Know how: Managing knowledge for competitive advantage (pp. 1–18). London. Retrieved from http://graphics. eiu. com/files/ad_pdfs/Tata_KnowHow_WP. pdf.
  32. Surrey and Sussex Healthcare NHS Trust. (2012). Safety and Quality Committee Chair Update (pp. 1–3). Retrieved from http://www. surreyandsussex. nhs. uk/_uploads/documents/board_papers/2012/august/safety-and-quality-committee-chair-update-3rd-aug. pdf.
  33. Discharge Planning and ALC Policy Task Team. (2006). Discharge from Hospital, (November).
  34. Metro (2012). NHS targets risk patients safety. Metro. [Online]. p. p. 1. Available from: http://www. metro. co. uk/news/818656-nhs-targets-risk-patients-safety.
  35. Department of Health: Media Centre. (2011). Speech: 7 December 2011, Andrew Lansley, A Patient Centred NHS. Department of Health. Retrieved February 20, 2012, from http://mediacentre. dh. gov. uk/2011/12/07/speech-7-december-2011-andrew-lansley-a-patient-centred-nhs/.
  36. McMurray, A. , Johnson, P. , Wallis, M. , Patterson, E. , & Griffiths, S. (2007). General surgical patients' perspectives of the adequacy and appropriateness of discharge planning to facilitate health decision-making at home. Journal of Clinical Nursing, 16(9), 1602–9. doi:10. 1111/j. 1365-2702. 2006. 01725. x.
  37. Fontaine, M. , & Lesser, E. (2002). Challenges in managing organizational knowledge (pp. 1–5). Retrieved from http://www-935. ibm. com/services/us/imc/pdf/g510-3234-00-esr-managing-organizational-knowledge. pdf.
  38. Lynch, N. (2011). A Qualitative Study into Patient Experiences of Discharge from Hospital to the Community (pp. 1–73). Birmingham, England. Retrieved from http://www. solihull-silc. org. uk/p/documents/solihull_link_and_birmingham_link_discharge_from_hospital_to_the_community_report_1326712262. pdf.
  39. Hogan, H. , Healey, F. , Neale, G. , Thomson, R. , Vincent, C. , & Black, N. (2012). Preventable deaths due to problems in care in English acute hospitals: a retrospective case record review study. BMJ Quality & Safety, (July). doi:10. 1136/bmjqs-2012-001159.
  40. The National Advisory Group on Safety of Patients in England. (2013). Improving the Safety of Patients in England. Retrieved from https://www. gov. uk/government/uploads/system/uploads/attachment_data/file/226703/Berwick_Report. pdf
  41. The Royal Pharmaceutical Society of Great Britain. (2006) Moving patients, moving medicines, moving safely. Guidance on discharge and transfer planning. Retrieved from http://psnc. org. uk/wp-content/uploads/2013/07/Moving20Medicines20new1. pdf. Accessed on 5th January 2015.
  42. Wilson-Evans Consulting Ltd. Report to the Institute for Healthcare 22nd Annual National Forum orlando, Florida December 5th - 8th 2010. Available at http://wilson-evans. com/2010/12/17/the-institute-for-healthcare-improvement-annual-conference-2010/ Accessed on 5th January 2015.
  43. NHS Scotland. (2013). Delayed Discharge. Report of the Expert Group Executive summary. Retrieved from http://www. scotland. gov. uk/Resource/Doc/924/0122015. pdf.
  44. Discharge from Hospital: Literature Review. (2006) DP and ALC Policy Task Team. Retrieved from:www. nelhin. on. ca/~/. . . /ALC/Literature_Review__Hospital_Dis. pdf. Accessed on 7th January 2015.
  45. Department of Health. (2012). Delayed Transfers of Care Information. Retrieved November 10, 2012, from http://transparency. dh. gov. uk/2012/06/21/dtoc-information/.
  46. NHS National Services Scotland. (2012). Delayed Discharges Definitions and Data Recording Manual. Retrieved from http://www. isdscotland. org/Health-Topics/Health-and-Social-Community-Care/Delayed-Discharges/Guidelines/delayed-discharges-manual-120613. pdf.
  47. Panis LJ, Gooskens M, Verheggen FW, Pop P, Prins MH. (2003) Predictors of inappropriate hospital stay: a clinical case study. International Journal of Quality Health Care. February 15(1) Pp. 57-65.
  48. Barton, P. , Bryan, S. , Glasby, J. , Hewitt, G. , Jagger, C. , Kaambwa, B. , Martin, G. , Nancarrow, S. , Parker, S. , Regen, E. & Wilson, A. (2006) . A National Evaluation of the Costs and Outcomes of Intermediate Care for Older People, Leicester: Leicester Nuffield Research Unit.
  49. Foss, C. , & Hofoss, D. (2011). Elderly persons' experiences of participation in hospital discharge process. Patient Education and Counseling, 85(1), 68–73. doi:10. 1016/j. pec. 2010. 08. 025
  50. Anthony D, Chetty VK, Kartha A, McKenna K, DePaoli RM, Jack B. (2005) Patient safety at time of discharge—an example of a multifaceted process evaluation. In: Henriksen K, Battles JB, Marks ESL, Lewin DI, editors. Advances in Patient Safety: From research to Implementation. vol. 2. Concepts and Methodology. Agency for Healthcare Research and Quality; Rockville, MD.
  51. Kamalanathan, N. A. Eardley, W. A. Chibelushi, C. Kingston, P. (2013) The Discharge Planning Dilemma in the UK NHS: The Role of Knowledge Management. Health Information Science Lecture Notes in Computer Science Volume 7798, Pp. 172-185.
  52. Eardley, W. A. and Czerwinski, A. (2007) Knowledge Management for Primary Healthcare Services. In: R. Bali and A. Dwivedi, (Eds. ), Knowledge Management: Issues, Advances and Successes, Springer Science + Business Media, New York, 2007.
  53. Kamalanathan, N. A. Eardley, W. A. Chibelushi, C. , Colins, T. (2013) Improving the Patient Discharge Planning Process through Knowledge Management by Using the Internet of Things. Advances in Internet of Things Vol. 3 No. 2A(2013), Article ID:33250. Available at: http://file. scirp. org/Html/3-4000057_33250. htm. Accessed 7th January 2015.
  54. Murray, P. . (1989). Rehabilitation information and health beliefs in the post-coronary patient: do we meet their information needs? Journal of Advanced Nursing, 14, 686–693. Retrieved from http://onlinelibrary. wiley. com/doi/10. 1111/j. 1365-2648. 1989. tb01612. x/pdf
  55. Wyatt, J. C. (2001). Management of explicit and tacit knowledge. Journal of the Royal Society of Medicine, 94, 6–4.
  56. Sveiby, K. (2001). Knowledge Management – Lessons from the Pioneers. Knowledge Management – Lessons from the Pioneers, 3–9.
  57. Holsapple, C. W. , & Joshi, K. D. (2001). Organizational knowledge resources. Decision Support Systems, 31(1), 39–54. doi:10. 1016/S0167-9236(00)00118-4.
  58. Roy, R. , Rey, F. M. , Wegen, B. Van, & Steele, A. (2000). A Framework To Create Performance Indicators In Knowledge Management. In Proc. of the Third Int. Conf. on Practical Aspects of Knowledge Management (PAKM2000) (pp. 30–31). Basel, Switzerland. Retrieved from http://sunsite. informatik. rwth-aachen. de/Publications/CEUR-WS/Vol-34/.
  59. Care Quality Commission. (2013). Inpatient survey 2012 (p. 19). United Kingdom. Retrieved from http://www. cqc. org. uk/public/reports-surveys-and-reviews/surveys/inpatient-survey-2012.
  60. NHS (2014). Map of Medicine. Available at: http://www. mapofmedicine. com/. Accessed: 10th December 2014.
  62. . NHS IC (2014). The NHS IC Indicator Portal. . NHS, The Information Centre for Health and Social Care. Available at: https://indicators. ic. nhs. uk/webview/. Accessed: 8th December 2014.
  63. Spindel, D. (2009). Patient-Provider Internet Portal Improves Operations, Clinical Care, and Patient Satisfaction, 58(5).
  64. The Christie NHS Foundation Trust (2014). Feedback on portal rollout. NHS. Available at: http://www. christie. nhs. uk/the-foundation-trust/treatments-and-clinical-services/gp/feedback. aspx. Accessed on: 8th December 2014.
  65. Syvertsen, C. (2005). Institut for Informatikk INF5210 Project Clinical Portal at Rikshospitalet Document evolution, (October), Pp. 1–15.
  66. Laff, M. (2014). Given Time, "Big Data"Promises to Transform Patient Care -- AAFP News -- AAFP. American Academy of Family Physicians. . Available from: http://www. aafp. org/news/practice-professional-issues/20140827qa-bigdata. html. Accessed on: 11th December 2014.
  67. RevSpring (2014). Demystifying "Big Data" and Making It Work for Patient Account Managers. [Online]. 2014. The Pulse. Available from: http://www. revspringinc. com/blog-healthcare/demystifying-%E2%80%9Cbig-data%E2%80%9D-and-making-it-work-patient-account-managers. [Accessed: 11 December 2014].
  68. Billings, J. , Blunt, I. , Steventon, A. , Georghiou, T. , Lewis, G. , & Bardsley, M. (2012). Development of a predictive model to identify inpatients at risk of re-admission within 30 days of discharge (PARR-30). BMJ Open, 2(4). Retrieved from http://bmjopen. bmj. com/content/2/4/e001667. full. pdf+html
Index Terms

Computer Science
Information Sciences

Keywords

Knowledge Management Healthcare Discharge Planning Patient Pathway Electronic Health Records Clinical Portal.

Powered by PhDFocusTM