title: Dynamic and accretive composition of patient engagement instruments for personalized plan generation.
abstract: Patient engagement is important to help patients become more informed and active in managing their health. Effective patient engagement demands short, yet valid instruments for measuring self-efficacy in various care dimensions. However, the static instruments are often too lengthy to be effective for assessment purposes. Furthermore, these tests could neither account for the dynamicity of measurements over time, nor differentiate care dimensions that are more critical to certain sub-populations. To remedy these disadvantages, we devise a dynamic instrument composition approach that can model the measurement of patient self-efficacy over time and iteratively select critical care dimensions and appropriate assessment questions based on dynamic user categorization. The dynamically composed instruments are expected to guide patients through self-management reinforcement cycles within or across care dimensions, while tightly integrated into clinical workflow and standard care processes.
authors.affiliation: IBM Watson Research Center, Yorktown Heights, NY, USA.
authors.forename: Pei-Yun S
authors.initials: PY
authors.lastname: Hsueh
authors.affiliation: IBM Watson Research Center, Yorktown Heights, NY, USA.
authors.forename: Xinxin
authors.initials: X
authors.lastname: Zhu
authors.affiliation: IBM Taiwan Research Collaboratory, Taipei, Taiwan.
authors.forename: Vincent
authors.initials: V
authors.lastname: Deng
authors.affiliation: IBM Watson Research Center, Yorktown Heights, NY, USA.
authors.forename: Sreeram
authors.initials: S
authors.lastname: Ramarishnan
authors.affiliation: IBM Watson Research Center, Yorktown Heights, NY, USA.
authors.forename: Marion
authors.initials: M
authors.lastname: Ball
mesh_terms: D019090:Case Management / Q000458:organization & administration*; D057286:Electronic Health Records / Q000458:organization & administration; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D010358:Patient Participation / Q000379:methods*; D057285:Precision Medicine / Q000379:methods*; D011594:Psychometrics / Q000379:methods*; D012648:Self Care / Q000379:methods*; D011795:Surveys and Questionnaires