Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Health and Technology
Erschienen in: Health and Technology 3/2013

01.09.2013 | Original Paper

The benefits of adopting e-performance management techniques and strategies to facilitate superior healthcare delivery: the proffering of a conceptual framework for the context of Hip and Knee Arthroplasty

verfasst von: Fatemeh Hoda Moghimi, Richard De Steiger, Johnathan Schaffer, Nilmini Wickramasinghe

Erschienen in: Health and Technology | Ausgabe 3/2013

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Coupled with the implementation of various e-health solutions, is an exponential increase in the quantity of data created, captured, stored and awaiting analysis. To maximize these valuable data assets as well as create reliable and trustworthy e-health solutions, a systematic and robust organising data framework is a strategic imperative. We introduce the Intelligent Performance Management(IPM) framework as a model to facilitate the systematic capture, analysis and then application of relevant data, pertinent information and germane knowledge that will in turn help to realise superior healthcare. In so doing, we focus on the clinical context of Total Hip and Knee Arthroplasty.
Vorheriger Artikel A survey of research in WBAN for biomedical and scientific applications
Nächster Artikel A smart citizen healthcare assistant framework

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Adler P, Riley P, Kwon S, Signer J, Lee B, Satrasala R. Performance improvement capability: keys to accelerating performance improvement in hospitals. Calif Manage Rev. 2003;45(2):12–33.CrossRef
2.
3.
Alonso G, Casati F, Kuno H, and Machiraju V. Web services: concepts, architectures, and applications. Springer Verlag; 2003.
4.
Anand R, Graves SE, de Steiger RN, Davidson DC, Ryan P, Miller LN, et al. What is the benefit of introducing new hip and knee prostheses? J Bone Joint Surg Am. 2011;93 Suppl 3:51–4.CrossRef
5.
Arah OA, Klazinga NS, Delnoij DMJ, Tenasbroeka AHA, Custers T. Conceptual frameworks for health systems performance: a quest for effectiveness, quality, and improvement. Int J Qual Health Care. 2003;15(5):377–98.CrossRef
6.
Aynardi M, Jacovides CL, Huang R, Mortazavi SM, & Parvizi J. Risk factors for early mortality following modern total Hip Arthroplasty. J Arthroplast. 2012.
7.
Baragoin C, Andersen C, Bayerl S, Bent G, Lee J, and Schommer C. Business Intelligence architecture overview. IBM. 2001.
8.
Barrick I. Transforming health care management. Boston: Jones and Bartlett; 2009.
9.
Beswick AD, Wylde V, Gooberman-Hill R, Blom A, & Dieppe P. What proportion of patients report long-term pain after total hip or knee replacement for osteoarthritis? A systematic review of prospective studies in unselected patients. BMJ Open. 2012;2(1).
10.
Bhowmick S, Madria S, and Keong NW. Web data management. Springer. 2004.
11.
Bourne RB, Chesworth BM, Davis AM, Mahomed NN, Charron KD. Patient satisfaction after total knee arthroplasty: who is satisfied and who is not? Clin Orthop Relat Res. 2010;468:57–63.CrossRef
12.
Buneman S. Semistructured data. Paper presented at the ACM on database systems; 1997.
13.
Casati F, Shan E, Dayal U, Shan M-C. Business-oriented management of web services. Commun ACM. 2003;46(10).
14.
Conroy JL et al. Risk factors for revision for early dislocation in total Hip Arthroplasty. J Arthroplasty. 2008;23(6):867.CrossRef
15.
De Marco M, Ricciardi F, van Brocke J. Strategies and solutions in eHealth: a literature review. In: Wickramasinghe N, editor. Critical issues for the development of sustainable E-health solutions. New York: Springer; 2012. p. 135–48.CrossRef
16.
Dijkman BA. Decision making open reduction/internal fixation versus arthroplasty for femoral neck fractures. Tech Orthop. 2008;23:288–95.CrossRef
17.
Dowsey MM et al. Economic burden of obesity in primary toal Knee Arthropalsty. Arthritis Care Res. 2011;63(10):1375–81.CrossRef
18.
Eckerson WW. Deploying dashboards and scorecards. TDWI report (pp. 5). TDWI; 2006.
19.
20.
Fayyad U, Piatetsky-Shapiro G, and Smyth P. From data mining to knowledge discovery in databases. 2008.
21.
Gartner S. Data Integration identifies key usage trends. (2006):23–25.
22.
Foran JR, Sheth NP, Ward SR, Della Valle CJ, Levine BR, Sporer SM, & Paprosky WG. Patient perception of physician reimbursement in elective total hip and Knee Arthroplasty. J Arthroplast. 2012.
23.
Fortin P et al. Outcomes of total hip and knee replacement: preoperative functional status predicts outcomes at six months after surgery. Arthritis Rheum. 1999;42(8):1722–8.MathSciNetCrossRef
24.
Friend D. Healthcare.com: Rx for reform. Boca Raton: St Lucie Press; 2000.
25.
Gold R, Stevenson D, Fryback G. HALYS AND QALYS AND DALYS, OH MY: similarities and differences in summary measures of population health. Annu Rev Public Health. 2002;23:115–34.CrossRef
26.
Graves S, Davidson D, de Steiger R, Ryan P, Griffith L, Miller L, Cashman K, Liu Y, and Stanford T. Hip and knee Arthroplasty. Annual report, Adelaide, Data Management and Analysis Centre and University of Adelaide; 2012.
27.
Grembergen WV, Amelinckx I. “Measuring and managing ebusiness projects through the balanced scorecard”. Proceedings of the 35th Hawaii International Conference on System Sciences, HICSS. 2002: 258
28.
Hartman CW, Ting NT, Moric M, Berger RA, Rosenberg AG, Della Valle CJ. Revision total knee arthroplasty for stiffness. J Arthroplasty. 2010;25(6):62–6.CrossRef
29.
Harvie P, Larkin J, Scaddan M, Longstaff LM, Sloan K, Beaver RJ. Stiffness after total knee arthroplasty: does component alignment differ in knees requiring manipulation?: A retrospective cohort study of 281 patients. J Arthroplasty. 2013;28(1):14–9.CrossRef
30.
31.
Holmboe ES, Weng W, Arnold GF, et al. The comprehensive care project: measuring physician performance in ambulatory practice. Health Serv Res. 2010;45:1912–33.CrossRef
32.
Holmes J, Abbott P, Cullen P, Moody L, Phillips K, Zupan B. Clinical data mining: who does it, and what do they do? AMIA. 2002;9(13).
33.
Howson C. Success business intelligence. McGraw Hill; 2007
34.
Hurst J, and Hughes MJ. Performance measurement and performance management in OECD health systems. OECD Labour Mark Soc Policy Occas. 2001;(47).
35.
Kalakota R, and Robinson M. e-business 2.0: roadmap for success. Wesley; 2001.
36.
Kaplan RS, Norton DP. The balanced scorecard: measures that drive performance. Harvard Bus Rev. 1992;70(1):71–9.
37.
Kaplan RS, Norton DP. Measuring the strategic readiness of intangible assets. Harvard Bus Rev. 2004;82(2):52–63.
38.
Kersten RF, Stevens M, van Raay JJ, Bulstra SK, van den Akker-Scheek I. Habitual physical activity after total knee replacement. Phys Ther. 2012;92(9):1109–16.CrossRef
39.
Kim GK, Mortazavi SM, Parvizi J, Purtill JJ. Revision for stiffness following TKA: a predictable procedure? Knee. 2012;19(4):332–4.CrossRef
40.
Kurtz S, Ong K, Lau E, et al. Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone Joint Surg Am. 2007;89(4):780.CrossRef
41.
Marsden G, Kelly C, and Snell C. Selecting indicators for strategic performance management. Transp Res Rec: J Transp Res Board, 1956. 2006.
42.
Martinsons M, Davison R, Tse D. The BSC: a foundation for the strategic management of information systems. Decis Support Syst. 1999;25(1):71–88.CrossRef
43.
McDougal CJ et al. Complications related to therapeutic anticoagulation in total Hip Arthroplasty. J Arthroplasty. 2013;28(1):187.CrossRef
44.
McGlynn EA, Asch SM, Adams J, Keesey J, Hicks J, DeCristofaro A, et al. The quality of health care delivered to adults in the United States. N Engl J Med. 2003;348:2635–45.CrossRef
45.
Miller W. “Hip and knee replacement.” Health Rep. 2002;(1):pp. 37–50. Oct 14.
46.
Moghimi F, Wickramasinghe N. Improving e-performance management in healthcare using intelligent IT solutions. In: Wickramasinghe N, editor. Critical issues for the development of sustainable E-health solutions. New York: Springer; 2012. p. 3–16.CrossRef
47.
Moghimi FH, Wickramasinghe N, Zadeh H. “Incorporating intelligent risk detection to enable superior decision support in the orthopaedic operating room”. J Health Technol. 2011, forthcoming.
48.
Nutley S, Smith PC. League tables for performance improvement in health care. J Health Serv Res Policy. 1998;31(1):50–7.
49.
Pacifici G, Spreitzer M, Tantawi A, and Youssef A. Performance management for cluster based web services. IBM TJ Watson Research Center; 2003.
50.
Perla RJ, Provost LP, Murray SK. The run chart: a simple analytical tool for learning from variation in healthcare processes. BMJ Qual Saf. 2011;20(1):46–51.CrossRef
51.
Porter M, Teisburg E. Redefining healthcare. Massachusetts: Harvard Business School Press; 2008.
52.
Quintana JM, Escobar A, Aguirre U, Lafuente I, Arenaza JC. Predictors of health-related quality-of-life change after total hip arthroplasty. Clin Orthop Relat Res. 2009;467(11):2886–94.CrossRef
53.
Sanjay S, Wee K. Web data management. Springer; 2004.
54.
Schaffer SP, Kim H. Responsive evaluation as a guide to design and implementation: case study of an e-health learning system. 2012;25(2):9–25.
55.
Scheduling AEJ. A Strategic pathway for improved data Warehouse/Business intelligence performance. Advanced system concepts; 2010.
56.
Schiavone Panni A, Cerciello S, Vasso M, Tartarone M. Stiffness in total knee arthroplasty. J Orthop Traumatol. 2009;10(3):111–8.CrossRef
57.
Singh JA, Jensen MR, Harmsen WS, Gabriel SE, Lewallen DG. Cardiac and thromboembolic complications and mortality in patients undergoing total hip and total knee arthroplasty. Ann Rheum Dis. 2011;70(12):2082–8.CrossRef
58.
Spil T, Stegwee R, and Teitink C. Business intelligence in healthcare organizations. Paper presented at the Proceedings of the 35th Hawaii International Conference on System Sciences, Hawaii, U.S.A.; 2002.
59.
60.
Vaughan S. Web services: beyond the hype. IEEE Comput. 2001;35:18–21.CrossRef
61.
Wagenmakers R, Stevens M, Groothoff JW, Zijlstra W, Bulstra SK, van Beveren J. Physical activity behavior of patients 1 year after primary total hip arthroplasty: a prospective multicenter cohort study. Phys Ther. 2011;91(3):373–80.CrossRef
62.
Wetters NG, Murray TG, Moric M, Sporer SM, Paprosky WG, & Della Valle CJ. Risk factors for dislocation after revision total hip arthroplasty. Clin Orthop Relat Res®. 2012;1–7.
63.
Wickramasinghe. Achieving goal alignment with HElathcare knoweldge workers through ICT use. Melbourne: Heidleberg Press; 2007.
64.
Wickramasinghe N, Geisler E, and Schaffer JL. Realising the value proposition for healthcare by incorporating KM strategies and data mining techniques with the use of information and communication technologies. Healthc Technol Manag. 2008a.
65.
Wickramasinghe N, Bali R, Schaffer J. The Healthcare Intelligence Continuum: key model for enabling KM initiatives and realising the full potential of SMT in healthcare delivery. Biomed Eng Technol. 2008;1(4):415–26.CrossRef
66.
Wickramasinghe N, Bali R, Lehaney B, Schaffer J, Gibbons C. Healthcare knowledge management primer. New York: Routledge; 2009.
67.
Wickramasinghe N, Blai R, Gibbons C Choi C and Schaffer J. Optimization of healthcare operations with knowledge management” in JHIMS summer 2009. 2009; vol 3 no. 4:pp 44–50.
68.
Wickramasinghe N, Bali RK, Choi CJHJ, Schaffer JL. A systematic approach optimization of healthcare operations with knowledge management. USA: HIMSS; 2009.
69.
Wickramasinghe N, Bali R, Kirn S, Sumoi R. Creating sustainable e-Health solutions. New York: Springer; 2012.CrossRef
70.
Wickramasinghe N, Al-harkim L, Gonzalez C, Tan J. Lean thinking for healthcare. New York: Springer; 2013. forthcoming.
71.
Zhang W et al. OARSI recommendations for the management of hip and knee osteoarthritis Part III: changes in evidence following systematic cumulative update of research published through January 2009. Osteoarthritis Cartilage. 2010;18(2010):476–99.CrossRef
Metadaten
Titel
The benefits of adopting e-performance management techniques and strategies to facilitate superior healthcare delivery: the proffering of a conceptual framework for the context of Hip and Knee Arthroplasty
verfasst von
Fatemeh Hoda Moghimi
Richard De Steiger
Johnathan Schaffer
Nilmini Wickramasinghe
Publikationsdatum
01.09.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
Health and Technology / Ausgabe 3/2013
Print ISSN: 2190-7188
Elektronische ISSN: 2190-7196
DOI
https://doi.org/10.1007/s12553-013-0057-4

Weitere Artikel der Ausgabe 3/2013

Health and Technology 3/2013 Zur Ausgabe

Original Paper

A survey of research in WBAN for biomedical and scientific applications

Original Paper

A smart citizen healthcare assistant framework

Original Paper

Training and assessment of equipment-related competence. Comparison of a petrochemical company and a hospital

Review Paper

Can technology be effective in interventions targeting sexual health and substance use in young people; a systematic review

Original Paper

E-Prescription across Europe

Premium Partner

    Bildnachweise