Health Technology Assessment for In Silico Medicine: Social, Ethical and Legal Aspects

Literature review of digital twin in healthcare

This article aims to make a bibliometric literature review using systematic scientific mapping and content analysis of digital twins in healthcare to know the evolution, domain, keywords, content type, and kind and purpose of digital twin's implementation in healthcare, so a consolidation and future improvement of existing knowledge can be made and gaps for new studies can be identified. The increase in publications of digital twins in healthcare is quite recent and it is still concentrated in the domain of technology sources. The subject is majorly concentrated in patient's digital twin group and in precision medicine and aspects, issues and/or policies subgroups, although the publications keywords mirror it only at the group side. Digital twins in healthcare are probably stepping out of the infancy phase. On the other hand, digital twins in hospital group and the device and facilities management subgroups are more mature with all knowledge gathered from the manufacturing sector. There is an absence of some publication's types in general, device and care subgroup and no whole body or hospital digital twin was reported. Based on the presented arguments, guidelines for future research were presented: advance in the creation of general frameworks, in subgroups not as much explored, and in groups and subgroups already explored, but that need more advancement to achieve the main goals of a whole human or hospital digital twin with the main issues resolved.

Human Factors and Organizational Issues: Contributions from 2022

OBJECTIVES

To review publications in the field of Human Factors and Organisational Issues (HF&OI) in the year 2022 and to assess major contributions to the subject.

METHOD

A bibliographic search was conducted following refinement of standardized queries used in previous years. Sources used were PubMed, Web of Science, and referral via references from other papers. The search was carried out in January 2023, and (using the PubMed article type inclusion functionality) included clinical trials, meta-analyses, randomized controlled trials, reviews, case reports, classical articles, clinical studies, observational studies (including veterinary), comparative studies, and pragmatic clinical trials.

RESULTS

Among the 520 returned papers published in 2022 in the various areas of HF&OI, the full review process selected two best papers from among 10 finalists. As in previous years, topics showed development including increased use of Artificial Intelligence (AI) and digital health tools, advancement of methodological frameworks for implementation and evaluation as well as design, and trials of specific digital tools.

CONCLUSIONS

Recent literature in HF&OI continues to focus on both theoretical advances and practical deployment, with focus on areas of patient-facing digital health, methods for design and evaluation, and attention to implementation barriers.

Supporting and Enabling the Process of Innovation in Public Health: The Framework for Public Health Innovation

This manuscript introduces a new framework for creating innovations in public health-the Framework for Public Health Innovation. The framework was developed through a longitudinal qualitative research study that investigated the process of creating innovative adolescent health programs. Interviews were conducted with a national sample of 26 organizations over two time points. Data collection focused on the process of innovative program development; organizational capacity; training; and technical assistance needs, successes, and barriers. The framework was developed and modified based on interview findings and expert advice; then, the final framework was validated with content experts. The framework illustrates a dynamic process of innovation that begins with dissatisfaction with the status quo, and then, illustrates three necessary components for innovation-space, process, and partnerships. Four categories of innovation, which range in complexity, are proposed: (1) creating a new component to an existing program, (2) adapting an existing program to meet new needs, (3) taking an alternative approach to addressing an existing program, and (4) reframing a health problem from a new perspective. As illustrated by a feedback loop, the resulting innovations disrupt the status quo. This model can be applied to any content area in public health and is useful for both research and practitioners.