scholarly journals Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review (Preprint)

2020 ◽  
Author(s):  
Christine Buchanan ◽  
M Lyndsay Howitt ◽  
Rita Wilson ◽  
Richard G Booth ◽  
Tracie Risling ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Health System ◽  
Scoping Review ◽  
Predictive Analytics ◽  
Digital Health ◽  
Shared Responsibility ◽  
Compassionate Care ◽  
Health Technologies ◽  
Emerging Trends ◽  
Research Questions

BACKGROUND Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses—the largest group of health professionals. Furthermore, there has been little discussion on how AI will influence the experience of person-centered compassionate care for patients, families, and caregivers. OBJECTIVE This review aims to summarize the extant literature on the emerging trends in health technologies powered by AI and their implications on the following domains of nursing: administration, clinical practice, policy, and research. This review summarizes the findings from 3 research questions, examining how these emerging trends might influence the roles and functions of nurses and compassionate nursing care over the next 10 years and beyond. METHODS Using an established scoping review methodology, MEDLINE, CINAHL, EMBASE, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Center, Scopus, Web of Science, and ProQuest databases were searched. In addition to the electronic database searches, a targeted website search was performed to access relevant gray literature. Abstracts and full-text studies were independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included articles focused on nursing and digital health technologies that incorporate AI. Data were charted using structured forms and narratively summarized. RESULTS A total of 131 articles were retrieved from the scoping review for the 3 research questions that were the focus of this manuscript (118 from database sources and 13 from targeted websites). Emerging AI technologies discussed in the review included predictive analytics, smart homes, virtual health care assistants, and robots. The results indicated that AI has already begun to influence nursing roles, workflows, and the nurse-patient relationship. In general, robots are not viewed as replacements for nurses. There is a consensus that health technologies powered by AI may have the potential to enhance nursing practice. Consequently, nurses must proactively define how person-centered compassionate care will be preserved in the age of AI. CONCLUSIONS Nurses have a shared responsibility to influence decisions related to the integration of AI into the health system and to ensure that this change is introduced in a way that is ethical and aligns with core nursing values such as compassionate care. Furthermore, nurses must advocate for patient and nursing involvement in all aspects of the design, implementation, and evaluation of these technologies. INTERNATIONAL REGISTERED REPORT RR2-10.2196/17490

scholarly journals Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review

JMIR Nursing ◽  
10.2196/23939 ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. e23939
Author(s):  
Christine Buchanan ◽  
M Lyndsay Howitt ◽  
Rita Wilson ◽  
Richard G Booth ◽  
Tracie Risling ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Health System ◽  
Scoping Review ◽  
Predictive Analytics ◽  
Digital Health ◽  
Shared Responsibility ◽  
Compassionate Care ◽  
Health Technologies ◽  
Emerging Trends ◽  
Research Questions

Background Artificial intelligence (AI) is set to transform the health system, yet little research to date has explored its influence on nurses—the largest group of health professionals. Furthermore, there has been little discussion on how AI will influence the experience of person-centered compassionate care for patients, families, and caregivers. Objective This review aims to summarize the extant literature on the emerging trends in health technologies powered by AI and their implications on the following domains of nursing: administration, clinical practice, policy, and research. This review summarizes the findings from 3 research questions, examining how these emerging trends might influence the roles and functions of nurses and compassionate nursing care over the next 10 years and beyond. Methods Using an established scoping review methodology, MEDLINE, CINAHL, EMBASE, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Center, Scopus, Web of Science, and ProQuest databases were searched. In addition to the electronic database searches, a targeted website search was performed to access relevant gray literature. Abstracts and full-text studies were independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included articles focused on nursing and digital health technologies that incorporate AI. Data were charted using structured forms and narratively summarized. Results A total of 131 articles were retrieved from the scoping review for the 3 research questions that were the focus of this manuscript (118 from database sources and 13 from targeted websites). Emerging AI technologies discussed in the review included predictive analytics, smart homes, virtual health care assistants, and robots. The results indicated that AI has already begun to influence nursing roles, workflows, and the nurse-patient relationship. In general, robots are not viewed as replacements for nurses. There is a consensus that health technologies powered by AI may have the potential to enhance nursing practice. Consequently, nurses must proactively define how person-centered compassionate care will be preserved in the age of AI. Conclusions Nurses have a shared responsibility to influence decisions related to the integration of AI into the health system and to ensure that this change is introduced in a way that is ethical and aligns with core nursing values such as compassionate care. Furthermore, nurses must advocate for patient and nursing involvement in all aspects of the design, implementation, and evaluation of these technologies. International Registered Report Identifier (IRRID) RR2-10.2196/17490

scholarly journals Nursing in the Age of Artificial Intelligence: Protocol for a Scoping Review

10.2196/17490 ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. e17490 ◽  
Author(s):  
Christine Buchanan ◽  
M Lyndsay Howitt ◽  
Rita Wilson ◽  
Richard G Booth ◽  
Tracie Risling ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Education Policy ◽  
Scoping Review ◽  
Digital Health ◽  
Clinical Care ◽  
Electronic Database ◽  
Health Technologies ◽  
Care Education ◽  
Emerging Trends ◽  
Briefing Paper

Background It is predicted that digital health technologies that incorporate artificial intelligence will transform health care delivery in the next decade. Little research has explored how emerging trends in artificial intelligence–driven digital health technologies may influence the relationship between nurses and patients. Objective The purpose of this scoping review is to summarize the findings from 4 research questions regarding emerging trends in artificial intelligence–driven digital health technologies and their influence on nursing practice across the 5 domains outlined by the Canadian Nurses Association framework: administration, clinical care, education, policy, and research. Specifically, this scoping review will examine how emerging trends will transform the roles and functions of nurses over the next 10 years and beyond. Methods Using an established scoping review methodology, MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Centre, Scopus, Web of Science, and Proquest databases were searched. In addition to the electronic database searches, a targeted website search will be performed to access relevant grey literature. Abstracts and full-text studies will be independently screened by 2 reviewers using prespecified inclusion and exclusion criteria. Included literature will focus on nursing and digital health technologies that incorporate artificial intelligence. Data will be charted using a structured form and narratively summarized. Results Electronic database searches have retrieved 10,318 results. The scoping review and subsequent briefing paper will be completed by the fall of 2020. Conclusions A symposium will be held to share insights gained from this scoping review with key thought leaders and a cross section of stakeholders from administration, clinical care, education, policy, and research as well as patient advocates. The symposium will provide a forum to explore opportunities for action to advance the future of nursing in a technological world and, more specifically, nurses’ delivery of compassionate care in the age of artificial intelligence. Results from the symposium will be summarized in the form of a briefing paper and widely disseminated to relevant stakeholders. International Registered Report Identifier (IRRID) DERR1-10.2196/17490

scholarly journals Defining compassion in the digital health age: protocol for a scoping review

BMJ Open ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. e026338 ◽  
Author(s):  
David Wiljer ◽  
Rebecca Charow ◽  
Helen Costin ◽  
Lydia Sequeira ◽  
Melanie Anderson ◽  
...  
Keyword(s):  
Leadership Development ◽  
Scoping Review ◽  
Professional Education ◽  
Digital Health ◽  
Clinical Care ◽  
Compassionate Care ◽  
Screening Process ◽  
Quality Healthcare ◽  
Health Technologies ◽  
Full Text Review

IntroductionThe notion of compassion and compassionate care is playing an increasingly important role in health professional education and in the delivery of high-quality healthcare. Digital contexts, however, are not considered in the conceptualisation of compassionate care, nor is there guidance on how compassionate care is to be exercised while using digital health technologies. The widespread diffusion of digital health technologies provides new contexts for compassionate care, with both opportunities for new forms and instantiations of compassion as well as new challenges. How compassion is both understood and enacted within this evolving, digital realm has not been synthesised.Methods and analysisThis scoping review protocol follows Arksey and O’Malley’s methodology to examine dimensions of compassionate professional practice when digital technologies are integrated into clinical care. Relevant peer-reviewed literature will be identified using a search strategy developed by medical librarians, which applies to six databases of medical, computer and information systems disciplines. Eligibility of articles will be determined using the two-stage screening process consisting of (1) title and abstract scan, and (2) full-text review. Screening, abstracting and charting will be conducted by two independent reviewers, with a third reviewer available for resolution when consensus is not achieved. In order to look at the range of current research in this area, extracted data will be thematically analysed and validated by content experts. Descriptive statistics will be calculated where necessary.Ethics and disseminationResearch ethics approval and consent to participate is not required for this scoping review. The results of the review will inform resource development and strategy for Associated Medical Services (AMS) Healthcare, a Canadian charitable organisation at the forefront of advancing research and leadership development in health and humanities, as part of the AMS Phoenix Project: A Call to Caring, particularly for digital professionalism frameworks so that they are inclusive of a compassion competency.

scholarly journals Nursing Education in the Age of Artificial Intelligence: A Scoping Review (Preprint)

2020 ◽  
Author(s):  
Christine Buchanan ◽  
M. Lyndsay Howitt ◽  
Rita Wilson ◽  
Richard G Booth ◽  
Tracie Risling ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Nursing Education ◽  
Nursing Students ◽  
Scoping Review ◽  
Digital Health ◽  
Clinical Care ◽  
Grey Literature ◽  
Health Technologies ◽  
Cochrane Database ◽  
Educational Requirements

BACKGROUND It is predicted that artificial intelligence will transform nursing across various domains of nursing practice: administration, clinical care, education, policy, and research. However, little synthesis has been completed exploring how artificial intelligence technologies will influence nursing education specifically. OBJECTIVE A scoping review was conducted to explore how artificial intelligence-driven digital health technologies are expected to influence nursing education over the next ten years and beyond. METHODS This scoping review followed the previously published protocol from April 2020. Using an established scoping review methodology, MEDLINE, Cumulative Index to Nursing and Allied Health Literature, Embase, PsycINFO, Cochrane Database of Systematic Reviews, Cochrane Central, Education Resources Information Centre, Scopus, Web of Science, and Proquest databases were searched. In addition to the use of these electronic databases, a targeted website search was performed to access relevant grey literature. Abstracts and full-text studies were independently screened by two reviewers using pre-specified inclusion and exclusion criteria. Included literature focused on nursing and digital health technologies that incorporate artificial intelligence. Data was charted using a piloted structured form and narratively summarized into categories. RESULTS A total of 27 articles were identified (20 expository papers, six studies with quantitative or prototyping methods, and one qualitative study). The population included nurses and nursing students at the undergraduate/entry levels, graduate, and doctoral levels. A variety of artificial intelligence technologies were discussed, including virtual nursing applications and robots. Key categories derived from the literature included: (1) educational requirements for nurses at the entry level, graduate and doctoral levels, (2) educational requirements for nurses in clinical practice, and (3) changes to the delivery of nursing education. CONCLUSIONS Nurses need to be better equipped to evaluate and integrate artificial intelligence in practice settings, and imminent changes are needed within nursing education programs to prepare nurses to use these technologies. Additionally, nurse educators need to understand how to use artificial intelligence in their teaching practices at the undergraduate and post-graduate levels. INTERNATIONAL REGISTERED REPORT RR2-10.2196/17490

scholarly journals The Real Era of the Art of Medicine Begins with Artificial Intelligence (Preprint)

2019 ◽  
Author(s):  
Bertalan Meskó
Keyword(s):  
Artificial Intelligence ◽  
Digital Health ◽  
Medical Science ◽  
Three Dimensional ◽  
Three Dimensional Printing ◽  
The Real ◽  
Art Of Medicine ◽  
Health Technologies ◽  
Based Medicine ◽  
Dimensional Printing

UNSTRUCTURED Physicians have been performing the art of medicine for hundreds of years, and since the ancient era, patients have turned to physicians for help, advice, and cures. When the fathers of medicine started writing down their experience, knowledge, and observations, treating medical conditions became a structured process, with textbooks and professors sharing their methods over generations. After evidence-based medicine was established as the new form of medical science, the art and science of medicine had to be connected. As a result, by the end of the 20th century, health care had become highly dependent on technology. From electronic medical records, telemedicine, three-dimensional printing, algorithms, and sensors, technology has started to influence medical decisions and the lives of patients. While digital health technologies might be considered a threat to the art of medicine, I argue that advanced technologies, such as artificial intelligence, will initiate the real era of the art of medicine. Through the use of reinforcement learning, artificial intelligence could become the stethoscope of the 21st century. If we embrace these tools, the real art of medicine will begin now with the era of artificial intelligence.

Compassionate Nursing Care and the Use of Digital Health Technologies: A Scoping Review

2021 ◽  
pp. 104161
Author(s):  
Shamsa Ali ◽  
Dr. Manal Kleib ◽  
Dr. Pauline Paul ◽  
Dr. Olga Petrovskaya ◽  
Megan Kennedy
Keyword(s):  
Nursing Care ◽  
Scoping Review ◽  
Digital Health ◽  
Health Technologies

Clinical Integration of Digital Solutions in Health Care: An Overview of the Current Landscape of Digital Technologies in Cancer Care

2018 ◽  
pp. 1-9 ◽  
Author(s):  
Shivank Garg ◽  
Noelle L. Williams ◽  
Andrew Ip ◽  
Adam P. Dicker
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Health Care ◽  
Data Collection ◽  
Patient Outcomes ◽  
Cancer Care ◽  
Digital Health ◽  
Health Technologies ◽  
Health Care Value

Digital health constitutes a merger of both software and hardware technology with health care delivery and management, and encompasses a number of domains, from wearable devices to artificial intelligence, each associated with widely disparate interaction and data collection models. In this review, we focus on the landscape of the current integration of digital health technology in cancer care by subdividing digital health technologies into the following sections: connected devices, digital patient information collection, telehealth, and digital assistants. In these sections, we give an overview of the potential clinical impact of such technologies as they pertain to key domains, including patient education, patient outcomes, quality of life, and health care value. We performed a search of PubMed ( www.ncbi.nlm.nih.gov/pubmed ) and www.ClinicalTrials.gov for numerous terms related to digital health technologies, including digital health, connected devices, smart devices, wearables, activity trackers, connected sensors, remote monitoring, electronic surveys, electronic patient-reported outcomes, telehealth, telemedicine, artificial intelligence, chatbot, and digital assistants. The terms health care and cancer were appended to the previously mentioned terms to filter results for cancer-specific applications. From these results, studies were included that exemplified use of the various domains of digital health technologies in oncologic care. Digital health encompasses the integration of a vast array of technologies with health care, each associated with varied methods of data collection and information flow. Integration of these technologies into clinical practice has seen applications throughout the spectrum of care, including cancer screening, on-treatment patient management, acute post-treatment follow-up, and survivorship. Implementation of these systems may serve to reduce costs and workflow inefficiencies, as well as to improve overall health care value, patient outcomes, and quality of life.

scholarly journals Role of Digital Health and Artificial Intelligence in Inflammatory Bowel Disease: A Scoping Review

Genes ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1465
Author(s):  
Kamila Majidova ◽  
Julia Handfield ◽  
Kamran Kafi ◽  
Ryan D. Martin ◽  
Ryszard Kubinski
Keyword(s):  
Artificial Intelligence ◽  
Scoping Review ◽  
Digital Health ◽  
Medication Management ◽  
Standard Of Care ◽  
Preliminary Evidence ◽  
Clinical Environment ◽  
Inflammatory Bowel ◽  
The Impact

Inflammatory bowel diseases (IBD), subdivided into Crohn’s disease (CD) and ulcerative colitis (UC), are chronic diseases that are characterized by relapsing and remitting periods of inflammation in the gastrointestinal tract. In recent years, the amount of research surrounding digital health (DH) and artificial intelligence (AI) has increased. The purpose of this scoping review is to explore this growing field of research to summarize the role of DH and AI in the diagnosis, treatment, monitoring and prognosis of IBD. A review of 21 articles revealed the impact of both AI algorithms and DH technologies; AI algorithms can improve diagnostic accuracy, assess disease activity, and predict treatment response based on data modalities such as endoscopic imaging and genetic data. In terms of DH, patients utilizing DH platforms experienced improvements in quality of life, disease literacy, treatment adherence, and medication management. In addition, DH methods can reduce the need for in-person appointments, decreasing the use of healthcare resources without compromising the standard of care. These articles demonstrate preliminary evidence of the potential of DH and AI for improving the management of IBD. However, the majority of these studies were performed in a regulated clinical environment. Therefore, further validation of these results in a real-world environment is required to assess the efficacy of these methods in the general IBD population.

scholarly journals Barriers to Creating Scalable Business Models for Digital Health Innovation in Public Systems: Qualitative Case Study (Preprint)

2020 ◽  
Author(s):  
Leah Taylor Kelley ◽  
Jamie Fujioka ◽  
Kyle Liang ◽  
Madeline Cooper ◽  
Trevor Jamieson ◽  
...  
Keyword(s):  
Health Care ◽  
Health System ◽  
Health Systems ◽  
Business Models ◽  
Digital Health ◽  
Digital Technologies ◽  
Economic Incentives ◽  
Barriers To Entry ◽  
Health Innovation ◽  
Health Technologies

BACKGROUND Health systems are increasingly looking toward the private sector to provide digital solutions to address health care demands. Innovation in digital health is largely driven by small- and medium-sized enterprises (SMEs), yet these companies experience significant barriers to entry, especially in public health systems. Complex and fragmented care models, alongside a myriad of relevant stakeholders (eg, purchasers, providers, and producers of health care products), make developing value propositions for digital solutions highly challenging. OBJECTIVE This study aims to identify areas for health system improvement to promote the integration of innovative digital health technologies developed by SMEs. METHODS This paper qualitatively analyzes a series of case studies to identify health system barriers faced by SMEs developing digital health technologies in Canada and proposed solutions to encourage a more innovative ecosystem. The Women’s College Hospital Institute for Health System Solutions and Virtual Care established a consultation program for SMEs to help them increase their innovation capacity and take their ideas to market. The consultation involved the SME filling out an onboarding form and review of this information by an expert advisory committee using guided considerations, leading to a recommendation report provided to the SME. This paper reports on the characteristics of 25 SMEs who completed the program and qualitatively analyzed their recommendation reports to identify common barriers to digital health innovation. RESULTS A total of 2 central themes were identified, each with 3 subthemes. First, a common barrier to system integration was the lack of formal evaluation, with SMEs having limited resources and opportunities to conduct such an evaluation. Second, the health system’s current structure does not create incentives for clinicians to use digital technologies, which threatens the sustainability of SMEs’ business models. SMEs faced significant challenges in engaging users and payers from the public system due to perverse economic incentives. Physicians are compensated by in-person visits, which actively works against the goals of many digital health solutions of keeping patients out of clinics and hospitals. CONCLUSIONS There is a significant disconnect between the economic incentives that drive clinical behaviors and the use of digital technologies that would benefit patients’ well-being. To encourage the use of digital health technologies, publicly funded health systems need to dedicate funding for the evaluation of digital solutions and streamlined pathways for clinical integration.

scholarly journals Elements of Trust in Digital Health Systems: Scoping Review (Preprint)

2018 ◽  
Author(s):  
Afua Adjekum ◽  
Alessandro Blasimme ◽  
Effy Vayena
Keyword(s):  
Health Care ◽  
Health Systems ◽  
Scoping Review ◽  
Service Provider ◽  
Digital Health ◽  
Digital Technologies ◽  
Data Access ◽  
Building Blocks ◽  
Sociodemographic Factors ◽  
Health Technologies

BACKGROUND Information and communication technologies have long become prominent components of health systems. Rapid advances in digital technologies and data science over the last few years are predicted to have a vast impact on health care services, configuring a paradigm shift into what is now commonly referred to as digital health. Forecasted to curb rising health costs as well as to improve health system efficiency and safety, digital health success heavily relies on trust from professional end users, administrators, and patients. Yet, what counts as the building blocks of trust in digital health systems has so far remained underexplored. OBJECTIVE The objective of this study was to analyze what relevant stakeholders consider as enablers and impediments of trust in digital health. METHODS We performed a scoping review to map out trust in digital health. To identify relevant digital health studies, we searched 5 electronic databases. Using keywords and Medical Subject Headings, we targeted all relevant studies and set no boundaries for publication year to allow a broad range of studies to be identified. The studies were screened by 2 reviewers after which a predefined data extraction strategy was employed and relevant themes documented. RESULTS Overall, 278 qualitative, quantitative, mixed-methods, and intervention studies in English, published between 1998 and 2017 and conducted in 40 countries were included in this review. Patients and health care professionals were the two most prominent stakeholders of trust in digital health; a third—health administrators—was substantially less prominent. Our analysis identified cross-cutting personal, institutional, and technological elements of trust that broadly cluster into 16 enablers (altruism, fair data access, ease of use, self-efficacy, sociodemographic factors, recommendation by other users, usefulness, customizable design features, interoperability, privacy, initial face-to-face contact, guidelines for standardized use, stakeholder engagement, improved communication, decreased workloads, and service provider reputation) and 10 impediments (excessive costs, limited accessibility, sociodemographic factors, fear of data exploitation, insufficient training, defective technology, poor information quality, inadequate publicity, time-consuming, and service provider reputation) to trust in digital health. CONCLUSIONS Trust in digital health technologies and services depends on the interplay of a complex set of enablers and impediments. This study is a contribution to ongoing efforts to understand what determines trust in digital health according to different stakeholders. Therefore, it offers valuable points of reference for the implementation of innovative digital health services. Building on insights from this study, actionable metrics can be developed to assess the trustworthiness of digital technologies in health care.

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