ArticleInternational journal of medical informatics2020
JointCalc: A web-based personalised patient decision support tool for joint replacement.
Article in International journal of medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Facilitators and barriers to the use of a personalised digital decision aid in total knee replacement consultations: insights from patients and orthopaedic surgeons - an interview study.BMC health services research · 2025Trial
- Advancing preoperative planning technology in total joint arthroplasty with a real-time machine learning calculator: 1-year mortality risk in a value-based care era.Arthroplasty (London, England) · 2026Article
- Agile User-Centered Design of a Clinical Research Project Management System in a Pediatric Health Institute.ACI open · 2025Article
- Establishment and Verification of Risk Prediction Model for Adverse Outcomes After Hip Arthroplasty in Elderly Patients.Therapeutics and clinical risk management · 2025Article
- Expanding access to veterinary clinical decision support in resource-limited settings: a scoping review of clinical decision support tools in medicine and antimicrobial stewardship.Frontiers in veterinary science · 2024Article
- External Validation of Prediction Models for Surgical Complications in People Considering Total Hip or Knee Arthroplasty Was Successful for Delirium but Not for Surgical Site Infection, Postoperative Bleeding, and Nerve Damage: A Retrospective Cohort Study.Journal of personalized medicine · 2023Article
- How long do revised and multiply revised hip replacements last? A retrospective observational study of the National Joint Registry.The Lancet. Rheumatology · 2022Article
- A comparison of survival models for prediction of eight-year revision risk following total knee and hip arthroplasty.BMC medical research methodology · 2022Article
- How long do revised and multiply revised knee replacements last? An analysis of the National Joint Registry.The Lancet. Rheumatology · 2021Article
- Personalized estimation of one-year mortality risk after elective hip or knee arthroplasty for osteoarthritis.Bone & joint research · 2020Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
background and purposeHealth information systems (HIS) are expected to be effective and efficient in improving healthcare services, but empirical observation of HIS reveals that most perform poorly in terms of these metrics. Theoretical factors of HIS performance are widely studied, and solutions to mitigate poor performance have been proposed. In this paper we implement effective methods to eliminate some common drawbacks of HIS design and demonstrate the synergy between the methods. JointCalc, the first comprehensive patient-facing web-based decision support tool for joint replacement, is used as a case study for this purpose. METHODS AND
resultsUser-centred design and thorough end-user involvement are employed throughout the design and development of JointCalc. This is supported by modern software production paradigms, including continuous integration/continuous development, agile and service-oriented architecture. The adopted methods result in a user-approved application delivered well within the scope of project.
conclusionThis work supports the claims of high potential efficiency of HIS. The methods identified are shown to be applicable in the production of an effective HIS whilst aiding development efficiency.
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Registered trials
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