The digitalization of the health care industry and hospitals aims to enhance the quality of patient care [1], increase operational efficiency [2], and reduce health care expenditure [3]. The use of digital technologies in health care settings has gained momentum in recent years with the introduction of various digital tools, including electronic health records (EHRs) [4], clinical decision support (CDS) tools [5], artificial intelligence (AI) applications [6], telemedicine [7], wearable devices [8], and health apps [9], which hold great potential to transform and revolutionize the delivery of health care services [10]. This trend is expected to accelerate with recent advances in AI technologies for language [11-14].

Despite the potential benefits, digitalization in health care raises concern about the well-being of health care professionals (HCPs) [15,16]. Previous research has demonstrated that suboptimal use of health information technologies and inefficient work processes can be associated with burnout, leading to feelings of frustration and reduced job satisfaction among HCPs [17,18]. In 2022, a study with >13,000 participants revealed that 48% of physicians working in hospitals reported feeling burned out, with the use of EHR cited as a main factor by 28% of respondents [19]. Similar findings, including the association of EHR design and use factors with clinicians’ stress and burnout, have been reported [20,21]. Burnout is a prolonged response to chronic work-related stress and is characterized by exhaustion, cynicism, and inefficacy and is influenced by both individual and organizational factors [22]. Clinician burnout can negatively affect the quality of care and can result in a range of negative consequences, including dysfunctional relationships with colleagues, self-medication or substance abuse, depression, and even suicide [23].

This issue becomes even more significant when considering physician burnout, as it is associated with physicians leaving clinical practice, consequently impacting a country’s health care system [24]. The loss of physicians from the workforce is an escalating problem in numerous countries, particularly those that are already facing a shortage of HCPs [25]. Insufficient numbers of young physicians entering the profession combined with many experienced physicians leaving patient care exacerbate this issue. For instance, in Switzerland, 1 out of every 7 physicians who graduated between 1980 and 2009 eventually opted out of patient care [26]. Moreover, burnout is also a concern among students during medical school and has been found to have a positive correlation with dropout intention [27]. Thus, addressing and mitigating burnout is crucial for the well-being of individuals, the educational system, and the health care system [28].

The impact of digitalization, in particular the introduction of EHR, on clinician well-being has been extensively studied [29-32]. Early EHR implementations were shown to have a negative impact on clinician well-being, reducing job satisfaction and increasing rates of clinician burnout owing to poor system usability, misaligned job roles, and increasing workloads associated with documentation requirements [32,33]. It may be anticipated that technological innovations might have mitigated the situation somewhat; however, at the same time, the pace of technological change has created new challenges such as the need to consider increasing quantities and varieties of data, including patient-reported outcomes [33] and the advances of AI into clinical applications [34]. Previous research suggests an urgent need to prioritize the lived experiences of clinicians when interacting with digital tools to suggest new approaches to design and implement tools to avert negative impacts [35-38].

At present, approaches and interventions aimed at reducing stress and preventing burnout among clinicians primarily involve individual-based practices, including psychoeducation, interpersonal communication, and mindfulness meditation [39]. However, recent findings indicate that enhancing the user experience of health information systems is a crucial factor in reducing stress and improving physician well-being [37,38]. To facilitate improvements in the user experience of EHR systems, strategies have been developed to empower clinicians to collaborate with local administrators, health IT personnel, and EHR developers [35,36]. However, a focus on usability and system design may neglect other important aspects and the effect of digital tools on other human interactions within complex clinical systems [29]. To gain a more comprehensive and mechanistic understanding of the impact of digitalization on clinician well-being, emotions, behaviors, and cognitive processes associated with the use of digital technologies must be explored [40,41]. These questions have largely not been emphasized in previous research [42,43].

Previous systematic reviews have explored specific aspects of digital tool integration in health care, offering valuable insights into topics such as mobile health, EHRs, and AI-based technologies [44-46]. These reviews have effectively highlighted the impacts of digital tools on HCP interactions, communication, and documentation, contributing to a better understanding of the advantages of digital tools in health care and their negative impacts on clinician well-being and burnout [15,47-50]. Another review provides comprehensive insights into the positive experiences, facilitators, challenges, barriers, and suggestions for the enhancement of digital care visits [51]. However, most reviews are narrowly focused on specific aspects, overlooking the broader context of health care practices. Moreover, some of these systematic reviews are dated, potentially making their findings less relevant to the current health care landscape as the digital technology evolves. In addition, the frequent lack of firsthand experience from HCPs who use these tools might lead to a limited perspective on their lived experiences.

In this systematic review, we aimed to provide a comprehensive overview of the available evidence on HCPs’ experiences using digital tools in hospital settings. We performed a qualitative synthesis to provide a more nuanced understanding of the impact of digital tools on HCPs’ experiences at work and to offer insights that can inform the development, adoption, implementation, and evaluation of these tools in hospital settings.

The protocol for this systematic review of qualitative studies has been prospectively registered on PROSPERO (registration number CRD42023393883). We kept the PROSPERO protocol status up-to-date throughout the research process, aligning it with our research’s progress and stages until review completion. No additional modifications were made to the previously published protocol. Before registering the protocol, we conducted PROSPERO searches using various combinations of keywords, including “digital tools,” “healthcare professional,” and “experience” to identify any registered protocols that aim to explore the experience of HCPs with digital tools in hospital settings and to ensure our review makes a significant and novel contribution to this research domain.

Our search strategy involved performing a keyword search of peer-reviewed literature published from January 2018 to January 2023 and retrieved from the electronic databases PubMed, Scopus, and Web of Science. The search was limited to the past 5 years to ensure the inclusion of the most current research on the experiences of HCPs, as digital tools evolve over time, and thus, older studies would be less relevant. Our search strategy included keywords such as “digital tools,” “digital applications,” “digital devices,” and “technology” as well as “healthcare professionals” including “clinicians,” “physicians,” and “nurses.” We also used keywords related to “experience” such as “expectation,” “perception,” “adoption,” “acceptance,” and “qualitative.” We used variations of search terms to match synonyms, abbreviations, alternative spellings, and related topics (Multimedia Appendix 2). In addition to the systematic search, we conducted a backward search by reviewing the reference lists of the key publications identified.

To be considered for inclusion in the review, the articles had to meet our defined eligibility criteria. We sought to identify qualitative, descriptive interview studies that provided clear and distinct qualitative data and results describing the experiences of HCPs with at least 6 months of experience using digital tools in a hospital setting. Given our primary focus on capturing HCPs’ firsthand experiences with digital tools, we focused our attention on qualitative interview studies. Interviews provide conceptual and theoretical knowledge about people’s life experiences and offer insights into their views, opinions, feelings, knowledge, and expertise [53]. In health-related research, qualitative interviews stand out as a significant approach, allowing individuals to articulate their understanding of the world, leading to deep and novel insights [54]. Unlike other qualitative methods such as ethnography, which observe actions, qualitative interviews allow us to understand the “how” of people’s thinking and lived experiences [55]. Therefore, we also included the qualitative components of mixed methods studies (Multimedia Appendix 3). We defined “experience with digital tools” as the integration of digital tools and technology in health care provisions supporting the achievement of health objectives, including prevention, assessment, diagnosis, consultation, treatment, or monitoring of a patient and medical condition. Our search was limited to peer-reviewed English literature within the defined time frame, population, and setting.

A panel of 3 independent researchers conducted a rigorous selection process to identify relevant publications for this study. The Covidence web application (Veritas Health Innovation Ltd) [56] was used to screen the titles and abstracts of the studies retrieved from the search strategy by at least 2 reviewers. Any discrepancies were resolved through discussion among the 3 reviewers. Full-text analysis was then performed by 2 authors to assess eligibility, with clear reasons provided for exclusion, and any disagreements were resolved by the third author.

To ensure accurate and consistent data extraction and quality assessment, we developed templates for recording study characteristics, including general publication information, key study and method characteristics, study population and background characteristics, and key findings. We used the “Critical Appraisal Skills Program” qualitative assessment checklist (Multimedia Appendix 4) to evaluate the methodological quality and validity of the study results. Data were independently collected and assessed by 2 authors, and any disagreements were resolved through discussion with the third author.

For data analysis and management, “ATLAS.ti” software (Scientific Software Development) [57] was used to allow line-by-line coding by 2 reviewers to capture key data and identify recurrent topics. Primary codes were then compared and synthesized to derive descriptive themes and higher-order constructs based on grouping, reviewing, and analyzing similar topics and concepts in the primary codes underlying the experiences of HCPs using digital tools in a hospital setting. To ensure a comprehensive approach, we used iterative coding and synthesis of codes, considering the findings from a thorough review of the theoretical frameworks presented in the existing literature. This iterative process supported the development of a novel theoretical framework specific to this study. The framework was then continuously evaluated through its application to the coding process, allowing for refinements and adjustments as necessary.

In total, 2236 publications were identified, of which 1061 (47.45%) were removed owing to duplication. Subsequently, during the initial screening phase, 1143 (51.12%) articles were excluded based on predefined inclusion and exclusion criteria. The remaining 32 (1.43%) studies underwent a thorough full-text review, leading to the further exclusion of 15 (0.67%) articles owing to insufficient experience of HCPs with the respective digital tools (n=5, 33%), outcomes that focused on factors other than the experience of HCPs (n=3, 20%), excluded study populations (n=3, 20%), publication date outside the time frame (n=2, 13%), exclusion of study location and setting (n=1, 7%), and quantitative study analysis (n=1, 7%). Ultimately, 17 studies were included in the review (Figure 1).

All 17 selected publications focused on HCPs’ experiences of using digital tools in their day-to-day practice. Of the 17 studies, 5 (29%) focused exclusively on physicians [58-62], 4 (24%) focused solely on nurses [63-66], and 8 (47%) had a mixed population of clinicians and associated staff of the health care team [66-74]. More than half (10/17,59%) of the studies reported on CDS tools, with 29% (5/17) of the studies investigating conventional CDS [62,63,66,67,71] and 29% (5/17) of the studies focusing on AI-based CDS [59,61,65,69,70]. Of the 17 studies, 6 (35%) focused on EHRs [58,60,64,68,73,74], whereas the remaining 1 (6%) study examined a remote patient-monitoring tool [72]. Of the 17 studies, 13 (76%) were solely based on qualitative individual semistructured interviews. Of the remaining 4 studies, 2 (50%) adopted a combination of qualitative techniques, consisting of individual semistructured interviews, focus group interviews, field notes, and direct observation. Of the 17 studies, the other 2 (12%) followed a mixed methods approach [61,64]. They conducted qualitative individual semistructured interviews and enriched their data with quantitative surveys using the 5-point Likert scale [66,74]. The studies were conducted in 26 different locations, with 6 (23%) studies conducted in the United States [58,59,62,65,68,70], 3 (12%) in the United Kingdom [67,68,71], 2 (8%) in Ireland [68,71], 2 (8%) in the Netherlands [69,72], and 2 (8%) in Australia [64,68]. Furthermore, single studies were conducted in Europe, including Norway [73], Sweden [63], France [71], Italy [71], Spain [71], and Portugal [71]; Canada [60]; Asia, including the United Arab Emirates [68], China [66], and Malaysia [61]; and Ethiopia in Eastern Africa [74] (1/26, 4%; Table 1; Figure 2).

Our preliminary assessment of the literature highlighted the need for a theoretical framework to understand the complex interplay between the use of digital tools, experience, and outcomes within clinical and general workflows. In recent years, several theoretical frameworks have been developed to predict and explain the acceptance behavior of new technologies [75]. In the health care context, the Technology Acceptance Model and the Unified Theory of Technology Acceptance and Use are among the most widely used models for predicting acceptance behavior [76]. However, direct experiences when using tools, which are potential moderators for the downstream impact on well-being, are often not distinguished from other outcomes or moderators. Building on this literature and informed by our thematic analysis of the included studies, we defined a theoretical framework to distinguish and illustrate connections between using digital tools, the experience of using digital tools, moderators that seem to impact the use of digital tools positively or negatively, and outcomes as a result of using the tools (Figure 3).

The use of digital tools, such as EHRs and CDS, is typically aimed at achieving specific goals such as improving patient care, enhancing workflow efficiency, and increasing information availability, all of which are potential outcomes of digital tool use. The positive outcomes of using digital tools include improved quality of patient care, enhanced workflow efficiency, and better information availability. Negative outcomes can include increased workload, increased patient safety risks, and disruptions in the workflow.

Certain moderators can have positive or negative effects on digital tool use. Examples of positive moderators include adequate training, proper workflow integration, and a user-friendly interface design, whereas negative moderators can include unfavorable social structures, inadequate training, and insufficient interface design and customization.

The framework explicitly includes the experiences of each individual user as a separate construct. Experiences are private to the individual, encompassing thoughts, emotions, and feelings. They can be influenced by either the outcome of using digital tools or using the tool itself, which plays a crucial role in further promoting or hindering the use of digital tools either positively or negatively. Thus, as indicated in Figure 3, there are possibilities for the development of positive or negative feedback cycles.

In the subsequent sections, we present our findings using this theoretical framework and provide a comprehensive analysis of the relationships between digital tool use, moderators, experience, and overall outcomes.

Of the 17 identified studies, most focused on CDS systems, including 5 (29%) on conventional CDS systems [62,63,66,67,71] and 5 (29%) on AI-based CDS systems [59,61,65,69,70]. Moreover, 6 (35%) out of 17 studies focused on EHR systems [58,60,64,68,73,74], and 1 (6%) study focused on a remote patient-monitoring device [72], which did not fit into any of the 3 broader categories (Table 3).

Across all digital systems, gain in confidence was the most frequently reported positive experience for users (conventional CDS [66,67], AI-based CDS [61,65], and EHR [64,68,73,74]). Furthermore, feeling satisfied was reported for EHR [58,68,73] and conventional CDS systems [63,67] but not for AI-based CDS systems. However, clinicians expressed gratitude [59,70], encouragement [59], hopefulness [69], and feeling supported [65] when using AI-based tools, which was not observed for the other systems.

The most reported negative experience for conventional CDS systems was feeling disrupted [62,66]. In contrast, for AI-based CDS tools, the most frequently cited negative experience was feeling frightened [65,69]. Although frustration was the most frequently mentioned negative experience in EHR systems [58,60,64,68,73,74], only a few publications mentioned it for conventional [66] and AI-based [65] CDS systems. The same also applied to feeling overwhelmed by information [58,60,68,73]. Similarly, feeling insecure, shocked, stressed, and unsatisfied with the work situation [64] was only mentioned for EHRs and not for the CDS tools. In contrast, uncertainty was only reported for conventional [69] and AI-based [67] CDS systems but not for EHRs.

The primary moderators that may positively impact the use of digital tools were largely consistent across all electronic systems. Sufficient training was deemed highly important for conventional CDS [62,66,71], AI-based CDS [59,61,69,70], and EHR [64,68,73,74] systems. Similarly, sufficient workflow integration was mentioned for conventional CDS [62,67,71,74], AI-based CDS [61,69], and EHR [58,64,68,74] systems. For AI-based CDS tools, trust [59,69,70] and the perception of support [59,69,70] were reported as highly critical factors to enhance use. Moreover, it is essential for AI-based CDS tools to provide clinicians with a sense of advice and collaboration, augmenting their choices and assisting in their day-to-day work. In the case of CDS AI-based tools, creating a perception of being an adviser and cooperating partner, along with a deep understanding of the fundamental aspects of the tool [69,70], was found to be of significant importance when compared with other tools. In contrast, for EHRs, favorable organizational structures [60,64,68,74] and providing quick and easy access to information [58,60,68] were reported as essential for using the system. Furthermore, the fear of negative consequences [64], sufficient IT infrastructure [60], commoditization of the tool [68], and the perception of a service to the community [68] were only mentioned for EHR systems.

Across all studies, HCPs commonly reported unfavorable organizational structures as the most critical negative moderator for the use of conventional CDS [66,67,71], AI-based CDS [61,65], and EHR [60,64,68,74] systems. In addition, unfavorable social pressure was mentioned for conventional CDS tools [62,67,71]. In addition, the lack of training was identified as a negative factor, particularly for EHRs [64,68,73,74] but also for conventional CDS [66,67] and CDS AI-based [61,65] systems. In addition, for EHRs only, insufficient user interface design [11,14,19,20], workstation setup [58,68,73,74], and data privacy concerns were mentioned [64,68]. In contrast, for AI-based CDS systems, the lack of tailored design [59,69] and distrust [65,70] were reported as negative moderators. In addition, unfavorable features for AI-based CDS [65] and conventional CDS [63] systems, high costs (AI-based CDS [69] and conventional CDS [71]), and negative attitudes toward technology (AI-based CDS [69] and conventional CDS [71]) were only reported for CDS systems but not for EHR.

In terms of positive outcomes, all studies focusing on EHR mentioned better information availability [58,60,64,68,73,74] as the major result of using EHR in hospitals. In addition, improvements in the quality of patient care were reported across all tools, including conventional CDS [62,66,67,71], AI-based CDS [61,65], and EHR [58,60,64,68,74] systems. Workflow efficiency was also found to increase with the use of conventional CDS [61,67,71], AI-based CDS [61,69], and EHR [58,60,68,73,74] systems. Furthermore, all tools reported an increase in patient safety (conventional CDS [62,77], AI-based CDS [61,65], and EHR [60,74]) and a gain in time efficiency (conventional CDS [67,71], AI-based CDS [69,70], and EHR [60,68]). Moreover, it was reported that AI-based CDS tools, in particular, foster critical thinking [59,65,70], whereas conventional CDS tools were specifically associated with a better patient experience [67,71]. In contrast, it was reported that EHRs offered quick and easy access to information [58,60,64,68], and this was the only tool type for which better documentation [64] and cost savings [68] were reported.

The most frequently reported negative outcome across all tools was an increase in workload (conventional CDS [62,66,67], AI-based CDS [59,61,65,69], and EHR [58,64,68,73,74]). In addition, missing and outdated information was often reported for EHR [58,64,73,74] and conventional CDS [62,63,66,77] systems. For AI-based CDS tools, reduced quality of patient care [61,70,71], patient harm [59,70], and increased patient safety risks [59,61] were reported, which were also mentioned for EHR systems [58,64,68,73]. Lack of tool objectivity was only reported for CDS systems (conventional CDS [63] and AI-based CDS [69]). In contrast, time-consuming information management [58,64,73,74] and workflow complications or interruptions [64,68,73,74] were reported twice as much for the use of EHR than for CDS systems. Furthermore, information overload [58,64], increase in human errors [58,68], incorrect information transfer [58,68], and reduced face-to-face collaboration time for physicians [64,68] were also solely reported for the use of EHR systems.

Of the 17 identified publications, 8 (47%) focused on mixed populations of HCPs [67-74], 5 (29%) explored the experiences of physicians only [58-62], and 4 (24%) investigated the experiences of nurses [63-66] (Table 4).

The analysis of the experiences of physicians and nurses as individual population groups revealed that nurses more frequently reported feeling confident and supported by health care tools [64-66] as compared with physicians [61]. However, both nurses and physicians reported feeling satisfied, responsible, and grateful [58-60,63,64] with the tools. Furthermore, physicians expressed feeling comfortable and encouraged [58,59], whereas nurses did not report such feelings.

In terms of negative experiences, physicians commonly expressed feeling overwhelmed by information [58,60,61], confused [59,62], and disrupted [61,62]. In contrast, nurses more frequently reported feeling frustrated [64-66], frightened [64,65], and concerned [64,65].

Both physicians and nurses identified sufficient workflow integration (physicians [58,61,62] and nurses [64,66]) and adequate training (physicians [59,62,72] and nurses [64,66]) as the most important positive moderators. In addition, physicians considered adequate user interface design [59-61] to be highly significant, whereas nurses identified cultural flexibility [65,66] as an essential factor.

Negative moderators with the potential to hinder the use of digital tools were identified by both nurses and physicians. Nurses mostly reported a lack of training [64-66], whereas physicians commonly reported a lack of workflow integration [58,61,62] as the main challenge. In addition, both groups of HCPs identified unfavorable organizational structure (physicians [60,61] and nurses [64,66]) and insufficient user interface design (physicians [58,61] and nurses [64,66]) as negative moderators that can impede the use of digital tools. Moreover, physicians were more likely than nurses to report a lack of workstation setup as a hindrance [58,61].

In terms of positive outcomes, both physicians and nurses reported an improvement in patient care quality (physicians [58,60-62] and nurses [64-66]) with digital tools. Nurses highlighted the reduction of errors, whereas physicians emphasized better information availability [58,60,61], increased workflow efficiency [58,60,61], and improved patient safety [60-62]. Both groups acknowledged the importance of cognitive support and fostering critical thinking (physicians [59,60] and nurses [63,64]). Physicians reported better adherence to guidelines [59,60] and information transfer [58,61], whereas nurses valued better prioritization and documentation [64].

However, the use of digital tools also had negative outcomes for both groups. Workload gain was the most commonly reported negative outcome (physicians [58,59,61,62] and nurses [64-66]), followed by patient safety risks (physicians [58,59,61,62] and nurses [64,65]) and time-consuming information management (physicians [58,61,62] and nurses [64,66]). Physicians specifically mentioned incomplete information transfer [58,61,62], whereas nurses cited missing or outdated information and inefficiencies in the documentation process [63,64,66] as additional negative outcomes of using digital tools. Moreover, physicians reported concrete patient harm [58,59] and a lack of addressing psychological and emotional issues of patients [58,62] as negative outcomes.

Digital transformation is altering many aspects of the health care system and the accompanying clinical workflows. Many of these changes are improvements with the potential for more and easier access to information and innovations in workflows toward better care; however, there are also concerns about possible unintended consequences. The interactions between clinicians and digital tools and systems are the direct frontier of digital transformation, affecting clinical work, roles, team dynamics, and clinical encounters with patients. As mentioned in the Introduction section, previous studies have extensively explored the impact of digitalization, particularly the introduction of EHR, on clinician well-being. Early findings indicated that EHR implementations had negative effects, leading to reduced job satisfaction and increased rates of clinician burnout. Our systematic literature review aimed to provide an up-to-date overview of the literature encompassing the perspective of clinicians using digital tools in hospital settings.

Our first finding was that despite the many calls to take clinician experiences into consideration, the body of research addressing this topic is still quite small, and only 17 studies since 2018 met all inclusion criteria. We found that many of the studies retrieved by the search but subsequently discarded were explorations of clinician experiences in using newly introduced tools or design studies that evaluated experiences with tools while they were under development. These studies are valuable but can provide only limited insights into the impact of the long-term use of tools on experiences, job satisfaction, and workflows. This suggests that 1 factor that may be relevant in driving the small size of the research literature on this topic is poor alignment with research agendas and funding priorities.

Among the studies that were included in the review, we also observed that although the moderators that might positively or negatively affect the use of digital tools and their outcomes were commonly reported, the experiences of HCPs, such as their thoughts, emotions, and feelings, were less frequently discussed in the literature. However, these direct experiences are likely to have a significant impact on the well-being of clinicians, the care they can provide patients, and the overall functioning of the health care system. This suggests that research specifically targeting the direct lived experiences of clinicians using digital tools in hospital settings would benefit from an explicit emphasis on individual thoughts and emotions as an important driver for HCPs to use digital tools.

Digital tools may enforce or be the front end for administrative tasks, taking time away from the work that clinicians want to do. Administrative tasks are typically seen as less meaningful work, and finding meaning in one’s work serves to offset stress and reduce burnout [78].

Another significant aspect is workflows with interruptions and higher cognitive burden, which contribute to lower clinician satisfaction and higher emotional exhaustion. This is evident in previous studies that reported that the introduction of EHRs resulted in numerous additional and often unnecessary interruptions caused by excessive and often irrelevant or poorly timed alerts and inbox notifications that disrupt the workflows and interactions with patients [79,80]. Such interruptions have been identified as a major issue contributing to alert fatigue and are likely to be associated with burnout [81,82]. Furthermore, previous studies have highlighted information overload as a serious problem associated with the use of EHR that also contributes to this problem [83,84]. The findings suggest that a digital tool should strike a balance between reducing workload and promoting critical thinking among HCPs when dealing with provided information.

The usability and interoperability problems with the EHR, combined with the demands of documentation and reporting requirements, create an administrative and clerical burden for clinicians that allows less time for patient care or nonwork-related activities. This is exemplified in an observational study of 57 physicians in 4 specialties, where physicians dedicated 49.2% of their office day to EHR and desk work and 37% during examination room visits, nearly double the amount of time spent doing direct patient care tasks. In addition, physicians reported spending 1 to 2 hours of after-hours work, primarily focused on EHR tasks [85,86].

This also affects nurses and nursing leaders, who are often frustrated with the current EHR system, as its design fails to support their workflows and presents significant usability issues. This not only impacts nurses themselves but also has negative repercussions on patients and health care organizations [87]. Another study indicated that nurses spend up to half of their time in front of a computer documenting patient information [88].

The digitalization of clinical work not only allows for the capturing of documentation in digital systems but also enables the possibility or expectation of doing so remotely and from home. In this sense, digitalization in hospital settings mirrors a wider transformation of the workplace that is ongoing and has been accelerated by the recent pandemic. Our findings suggest that clinicians report some positive outcomes from the use of digital tools, including improved quality of patient care, enhanced workflow efficiency, and better information availability. In contrast, negative outcomes such as increased workload, heightened patient safety risks, outdated or missing information, and disruptions in workflow were also identified as still relevant, even with modern clinical information systems. The positive and negative outcomes were often perceived in pairs, such as increased patient safety versus increased patient safety risks, better information availability versus missing or outdated information, increased workflow efficiency versus complications, and workflow interruptions.

The findings of our review suggest that the use of digital tools by clinicians can be influenced by various moderators. These moderators can positively enhance the use of digital tools. For instance, adequate training may equip clinicians with the essential skills and confidence to effectively use digital tools, along with seamless workflow integration, a user-friendly interface design, and favorable organizational structures. This ensures minimal disruption and efficient use and makes it easier for clinicians to navigate the digital tools. Conversely, certain moderators can have negative effects on the use of digital tools, such as unfavorable organizational structures, leading to a lack of support and motivation; inadequate training, which may lead to frustration, errors, or misuse of the tool; and insufficient interface design and customization, which may lead to struggles while navigating the interface or finding the desired information need. As with outcomes, positive and negative moderators are frequently reported as opposing pairs, as is the case with sufficient training positively impacting tool use and lack of training hindering tool use, similar to favorable and unfavorable organizational structures.

This review encompasses a diverse range of studies in hospital settings, and the underlying theoretical framework highlights the complexity of the interconnection between positive and negative experiences, moderators, and outcomes.

This review has several limitations. Although every effort was made to be comprehensive in the search for relevant literature, it is possible that the inclusion and exclusion criteria may have biased the results. The review focused solely on physicians and nurses working in a hospital setting, either secondary, tertiary, or quaternary care, and not in primary care. In addition, we did not include studies that were focusing on pilot, implementation, or validation studies. As we were primarily interested in the experience of HCPs using digital tools, we also did not focus on studies that evaluated the improvement of quality of care as a primary study outcome. As a result, some papers exploring the relevant experiences of general practitioners and in other study contexts were excluded. We also excluded studies that involved populations of students who had not yet started their professional careers.

Although our search was conducted using global research repositories, the focus on English language publications may have biased the results; indeed, a majority of the included studies were conducted in English-speaking countries.

Furthermore, owing to the timing of our systematic review, experiences of clinicians using large language models such as ChatGPT have not yet been reported in the literature we reviewed. However, this is likely to be an increasingly important topic for future research.

This review indicates a need for future studies to focus more on the direct lived experiences of HCPs including thought processes, feelings, and emotions, as this has not been widely reported in previous studies. Moreover, there is a need to explore the experiences of HCPs in other regions of the world where digital transformation, drivers, constraints, workflows, and organizational cultures may differ markedly from those reflected in the predominant body of the existing literature. For example, a notable research gap exists in various regions, including South America; significant parts of Africa, Southeast Asia, and the Pacific; as well as in specific countries within Middle and Eastern Europe (Figure 2). Only limited attention has been directed toward exploring this topic in these regions.

This literature review surveyed the recent experiences of clinicians using digital tools in a hospital setting. This paper presents information about the experiences as well as moderators that can promote or hinder the use, and outcomes of digital tools in hospitals and identifies opportunities for further research. We proposed a theoretical framework to explain the complex interplay between the use of digital tools, experience, moderators, and outcomes. The framework emphasized the need to consider the individual experiences of users, which can be influenced by either the outcome of using digital tools or by the use of the tool itself. In addition, our review also revealed that tool-specific factors, such as the design and goals of the tool, as well as the professional role and responsibilities can impact the user experiences. The review findings highlight the influence of adequate training for clinicians using digital tools and emphasize the need for favorable organizational structures to positively influence use.