A Continuous‐Time Markov Chain Model–Based Business Analytics Approach for Estimating Patient Transition States in Online Health Infomediary

Online health infomediaries are emerging as a critical element in the healthcare sector to support and influence individuals’ health and wellness decisions. The business success and effectiveness of health infomediaries depend on the active and sustained engagement of patients. Although the growth in the number of participants in an infomediary is expected to add value by increasing the diversity of information that is potentially exchanged, the...