Abstract

Patient-centricity and outcome become an increasingly important part of regulatory and reimbursement decisions. Digital technology provides opportunities to improve patient outcome measurement and quality of care. However, evidence to establish these values is limited. This study is aimed to identify the characteristics of successfully implemented digital technology in data generation and quality of care improvement. A systematic literature review was conducted on publications indexed in PubMed and EMBASE. Relevant peer-reviewed articles published between 01 January 2010 and 31 May 2019 were reviewed based on disease area, study types, design and endpoint(s), types of digital technology, treatment involvement, sponsor and outcome. Successful implementation is defined as fully or partially met study objective(s). The articles’ validity is confirmed using CASP checklists. The success characteristics were extracted from the eligible articles. The search returned with 1833 articles with 944 excluded for duplicates, non-relevance, study design and endpoints, and publication types after initial review. Preliminary result showed that diabetes, cardiology and obesity were the most common target disease areas for digital technology implementation. The most used digital technology were mobile applications, wearables, and web-based intervention, with artificial intelligence is increasingly studied. Publications on industry-sponsored trials, digital technology in clinical trials and as specific treatment companion are limited. The endpoints for outcome measurement and result of digital technology in improving patients' quality of care vary. The success factors for digital technology implementation are quality of care achievement (effective, efficient, accessible/coverage, and standardized) and positive user experience (usability, acceptability, non-interference and reliability). Digital technology is increasingly used in healthcare settings and showed promising benefits to measure and improve patient outcome. Patients' insights, system standardization and validation are crucial for the success of digital solution. A standardized and robust study design is required to demonstrate the impact of digital technology on patients’ quality of care.

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