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As in rheumatoid arthritis, treating to target in psoriatic arthritis (PsA) has been shown to improve outcomes over standard therapy. As a result of this, the European League Against Rheumatism (EULAR) updated recommendations for the management of PsA now recommend a treat-to-target approach for all patients with PsA. However, translating the results of this research remains challenging in clinical practice. Prolonged consultation time associated with implementing this into practice can be minimised using a simple to calculate but inclusive target for treatment and assessing this within information technology (IT) systems. IT systems can combine physician and patient-reported outcomes, use algorithms to calculate any target and even be used to suggest follow up times based on previous data. Utilising these tools can help to make optimal treatment of arthritis feasible in routine clinical practice.

Type

Journal article

Journal

Clin exp rheumatol

Publication Date

09/2016

Volume

34

Pages

S73 - S74

Keywords

Algorithms, Antirheumatic Agents, Arthritis, Psoriatic, Clinical Trials as Topic, Decision Support Techniques, Evidence-Based Medicine, Humans, Medical Informatics, Patient Care Planning, Predictive Value of Tests, Rheumatology, Severity of Illness Index, Time Factors, Treatment Outcome