OBJECTIVE: To create a relevant and clinically informative visualization of passively collected patient mobility data from smartphones of rheumatoid arthritis (RA) patients for rheumatologists. METHODS: (1) Pilot analysis of smartphone mobility data in RA; (2) Assessment of rheumatologists' needs for patient data through semi-structured interviews; and (3) Evaluation of the visual format of the RA data using scenario-based usability methods. RESULTS: We created a color-scale mobility index superimposed on a calendar to summarize the passive mobility measures from the smartphone that the rheumatologists confirmed would be clinically relevant. CONCLUSION: This assessment of clinician data needs and preferences demonstrates the potential value of passively collected smartphone data to resolve an important data question in RA. Efforts such as these are necessary to ensure that any smartphone data that patients share with their doctors will not exacerbate clinician information overload, but actually facilitate clinical decisions.
OBJECTIVE: To create a relevant and clinically informative visualization of passively collected patient mobility data from smartphones of rheumatoid arthritis (RA) patients for rheumatologists. METHODS: (1) Pilot analysis of smartphone mobility data in RA; (2) Assessment of rheumatologists' needs for patient data through semi-structured interviews; and (3) Evaluation of the visual format of the RA data using scenario-based usability methods. RESULTS: We created a color-scale mobility index superimposed on a calendar to summarize the passive mobility measures from the smartphone that the rheumatologists confirmed would be clinically relevant. CONCLUSION: This assessment of clinician data needs and preferences demonstrates the potential value of passively collected smartphone data to resolve an important data question in RA. Efforts such as these are necessary to ensure that any smartphone data that patients share with their doctors will not exacerbate clinician information overload, but actually facilitate clinical decisions.
Authors: Jaclyn Anderson; Liron Caplan; Jinoos Yazdany; Mark L Robbins; Tuhina Neogi; Kaleb Michaud; Kenneth G Saag; James R O'Dell; Salahuddin Kazi Journal: Arthritis Care Res (Hoboken) Date: 2012-05 Impact factor: 4.794
Authors: Jasvinder A Singh; Daniel E Furst; Aseem Bharat; Jeffrey R Curtis; Arthur F Kavanaugh; Joel M Kremer; Larry W Moreland; James O'Dell; Kevin L Winthrop; Timothy Beukelman; S Louis Bridges; W Winn Chatham; Harold E Paulus; Maria Suarez-Almazor; Claire Bombardier; Maxime Dougados; Dinesh Khanna; Charles M King; Amye L Leong; Eric L Matteson; John T Schousboe; Eileen Moynihan; Karen S Kolba; Archana Jain; Elizabeth R Volkmann; Harsh Agrawal; Sangmee Bae; Amy S Mudano; Nivedita M Patkar; Kenneth G Saag Journal: Arthritis Care Res (Hoboken) Date: 2012-05 Impact factor: 4.794
Authors: Jessica S Ancker; Elizabeth Mauer; Robin B Kalish; Joshua R Vest; J Travis Gossey Journal: Appl Clin Inform Date: 2019-04-10 Impact factor: 2.342
Authors: William Benjamin Nowell; Jeffrey R Curtis; Sandra K Nolot; David Curtis; Shilpa Venkatachalam; Justin K Owensby; Jiat Ling Poon; Amy B Calvin; Carol L Kannowski; Douglas E Faries; Kelly Gavigan; Virginia S Haynes Journal: JMIR Res Protoc Date: 2019-09-26