Predictive Analysis of Increased Adherence Level and Improved Health Conditions of Patients Through Mobility and Web-based IT Solutions Sujata Joshi1, Jayashree Lalitha2, Elizabeth Jacob2 1Associate Professor, Symbiosis Institute of Telecom Management, Symbiosis International University, India 2Student, Symbiosis Institute of Telecom Management, Symbiosis International University, India Online published on 29 December, 2017. Abstract Purpose Regular adherence to medication can help improve the health conditions of a patient, enhance patient engagement and superior care coordination. Hence this paper tries to analyse the factors affecting the medication and consultation adherence level of the patient using or who may wish to use new age mobility and web-based technology solutions. Research Methodology Primary research survey was conducted on 158 patients with chronic ailments as well as non-patients who are willing to adopt technology. Data was analysed using SPSS and statistical methods like Factor analysis and multiple regression analysis. Findings The study proposes a significant model with good predictive power for future use of healthcare service providers. It predicts the value of the dependent variable i.e. adherence level on the independent variables of time, cost, convenience and regularity which contribute to encourage the patients to embrace new age technology transformation. Research implications This study will help healthcare service providers to provide better solutions for improved healthcare. This technology transformation will benefit millions of patients who do not have access to healthcare by providing healthcare service on time and at affordable cost. Top Keywords Healthcare-IT, M-health, Mobility-solutions, Web-based-IT solutions, Predictive analysis. Top |