Personalized medicine, digital technology and trust: a Kantian account

Expectations and Requirements of Surgical Staff for an AI-Supported Clinical Decision Support System for Older Patients: Qualitative Study

Background

Geriatric comanagement has been shown to improve outcomes of older surgical inpatients. Furthermore, the choice of discharge location, that is, continuity of care, can have a fundamental impact on convalescence. These challenges and demands have led to the SURGE-Ahead project that aims to develop a clinical decision support system (CDSS) for geriatric comanagement in surgical clinics including a decision support for the best continuity of care option, supported by artificial intelligence (AI) algorithms.

Objective

This qualitative study aims to explore the current challenges and demands in surgical geriatric patient care. Based on these challenges, the study explores the attitude of interviewees toward the introduction of an AI-supported CDSS (AI-CDSS) in geriatric patient care in surgery, focusing on technical and general wishes about an AI-CDSS, as well as ethical considerations.

Methods

In this study, 15 personal interviews with physicians, nurses, physiotherapists, and social workers, employed in surgical departments at a university hospital in Southern Germany, were conducted in April 2022. Interviews were conducted in person, transcribed, and coded by 2 researchers (AU, LB) using content and thematic analysis. During the analysis, quotes were sorted into the main categories of geriatric patient care, use of an AI-CDSS, and ethical considerations by 2 authors (AU, LB). The main themes of the interviews were subsequently described in a narrative synthesis, citing key quotes.

Results

In total, 399 quotes were extracted and categorized from the interviews. Most quotes could be assigned to the primary code challenges in geriatric patient care (111 quotes), with the most frequent subcode being medical challenges (45 quotes). More quotes were assigned to the primary code chances of an AI-CDSS (37 quotes), with its most frequent subcode being holistic patient overview (16 quotes), then to the primary code limits of an AI-CDSS (26 quotes). Regarding the primary code technical wishes (37 quotes), most quotes could be assigned to the subcode intuitive usability (15 quotes), followed by mobile availability and easy access (11 quotes). Regarding the main category ethical aspects of an AI-CDSS, most quotes could be assigned to the subcode critical position toward trust in an AI-CDSS (9 quotes), followed by the subcodes respecting the patient's will and individual situation (8 quotes) and responsibility remaining in the hands of humans (7 quotes).

Conclusions

Support regarding medical geriatric challenges and responsible handling of AI-based recommendations, as well as necessity for a holistic approach focused on usability, were the most important topics of health care professionals in surgery regarding development of an AI-CDSS for geriatric care. These findings, together with the wish to preserve the patient-caregiver relationship, will help set the focus for the ongoing development of AI-supported CDSS.

Assessing the Digital Advancement of Public Health Systems Using Indicators Published in Gray Literature: Narrative Review

BACKGROUND

Revealing the full potential of digital public health (DiPH) systems requires a wide-ranging tool to assess their maturity and readiness for emerging technologies. Although a variety of indices exist to assess digital health systems, questions arise about the inclusion of indicators of information and communications technology maturity and readiness, digital (health) literacy, and interest in DiPH tools by the society and workforce, as well as the maturity of the legal framework and the readiness of digitalized health systems. Existing tools frequently target one of these domains while overlooking the others. In addition, no review has yet holistically investigated the available national DiPH system maturity and readiness indicators using a multidisciplinary lens.

OBJECTIVE

We used a narrative review to map the landscape of DiPH system maturity and readiness indicators published in the gray literature.

METHODS

As original indicators were not published in scientific databases, we applied predefined search strings to the DuckDuckGo and Google search engines for 11 countries from all continents that had reached level 4 of 5 in the latest Global Digital Health Monitor evaluation. In addition, we searched the literature published by 19 international organizations for maturity and readiness indicators concerning DiPH.

RESULTS

Of the 1484 identified references, 137 were included, and they yielded 15,806 indicators. We deemed 286 indicators from 90 references relevant for DiPH system maturity and readiness assessments. The majority of these indicators (133/286, 46.5%) had legal relevance (targeting big data and artificial intelligence regulation, cybersecurity, national DiPH strategies, or health data governance), and the smallest number of indicators (37/286, 12.9%) were related to social domains (focusing on internet use and access, digital literacy and digital health literacy, or the use of DiPH tools, smartphones, and computers). Another 14.3% (41/286) of indicators analyzed the information and communications technology infrastructure (such as workforce, electricity, internet, and smartphone availability or interoperability standards). The remaining 26.2% (75/286) of indicators described the degree to which DiPH was applied (including health data architecture, storage, and access; the implementation of DiPH interventions; or the existence of interventions promoting health literacy and digital inclusion).

CONCLUSIONS

Our work is the first to conduct a multidisciplinary analysis of the gray literature on DiPH maturity and readiness assessments. Although new methods for systematically researching gray literature are needed, our study holds the potential to develop more comprehensive tools for DiPH system assessments. We contributed toward a more holistic understanding of DiPH. Further examination is required to analyze the suitability and applicability of all identified indicators in diverse health care settings. By developing a standardized method to assess DiPH system maturity and readiness, we aim to foster informed decision-making among health care planners and practitioners to improve resource distribution and continue to drive innovation in health care delivery.

Do not attempt cardiopulmonary resuscitation decision-making process: scoping review

OBJECTIVES

To conduct a scoping review to explore the evidence of the process of do not attempt cardiopulmonary resuscitation (DNACPR) decision-making.

METHODS

We conducted a systematic search and review of articles from 1 January 2013 to 6 April 2023 within eight databases. Through multi-disciplinary discussions and content analytical techniques, data were mapped onto a conceptual framework to report the data.

RESULTS

Search results (n=66 207) were screened by paired reviewers and 58 papers were included in the review. Data were mapped onto concepts/conceptual framework to identify timing of decision-making, evidence of involvement, evidence of discussion, evidence of decision documented, communication and adherence to decision and recommendations from the literature.

CONCLUSION

The findings provide insights into the barriers and facilitators to DNACPR decision-making, processes and implementation. Barriers arising in DNACPR decision-making related to timing, patient/family input, poor communication, conflicts and ethical uncertainty. Facilitators included ongoing conversation, time to discuss, documentation, flexibility in recording, good communication and a DNACPR policy. Challenges will persist unless substantial changes are made to support and promote examples of good practice. Overall, the review underlined the complexity of DNACPR decision-making and how it is a process shaped by multiple factors including law and policy, resource investment, healthcare professionals, those close to the patient and of central importance, the patient.

Stroke survivors' experiences and meaning of digital technology in daily life: a phenomenological study

PURPOSE

The aim of the study was to explore the experiences and meaning of digital technology in daily life by stroke survivors.

MATERIALS AND METHODS

A phenomenological study design helped to collect rich and in-depth understanding of stroke survivors' experiences and meaning of digital technology in their daily life and their perspective of applying digital technology in the implementation of stroke-related telerehabilitation services. Thematic analysis was used for data analysis.

FINDINGS

An overarching theme emerged: A spectrum of challenges, personal preferences, strategies to manage, and attitudes towards the use of digital technology in daily life.

CONCLUSION

The findings revealed that participants' different experiences influenced their perceived meaning of digital technology in daily life and the interest to participate in telerehabilitation services.

Triangle of Trust in Cancer Care? The Physician, the Patient, and Artificial Intelligence Chatbot

Trust, as a philosophic paradigm, is predominantly interpersonal, between human beings, and is differentiated from reliance. Can a person trust an inhumane amoral agent, such as a large language model artificial intelligence (AI) chatbot, to manifest the goodwill and willingness normally required in order for it to be deemed trustworthy? This article explores the relationship between the cancer patient, their physician, and AI chatbot in a proposed tripartite, consultative, personalized approach to shared-care in precision molecular oncology. It examines the nature of trust between human agents and machines. It also contemplates AI-enhanced technical precision in state-of-the-art cancer management, complemented by trustworthy, holistic clinical care by a physician, for each individual patient. "To what extent can the user "trust" GPT-4?" Peter Lee,1 Microsoft Research 2023.

'You have to put a lot of trust in me': autonomy, trust, and trustworthiness in the context of mobile apps for mental health

Trust and trustworthiness are essential for good healthcare, especially in mental healthcare. New technologies, such as mobile health apps, can affect trust relationships. In mental health, some apps need the trust of their users for therapeutic efficacy and explicitly ask for it, for example, through an avatar. Suppose an artificial character in an app delivers healthcare. In that case, the following questions arise: Whom does the user direct their trust to? Whether and when can an avatar be considered trustworthy? Our study aims to analyze different dimensions of trustworthiness in the context of mobile health app use. We integrate O'Neill's account of autonomy, trust, and trustworthiness into a model of trustworthiness as a relational concept with four relata: B is trustworthy with respect to A regarding the performance of Z because of C. Together with O'Neill's criteria of trustworthiness (honesty, competence, and reliability), this four-sided model is used to analyze different dimensions of trustworthiness in an exemplary case of mobile health app use. Our example focuses on an app that uses an avatar and is intended to treat sleep difficulties. The conceptual analysis shows that interpreting trust and trustworthiness in health app use is multi-layered and involves a net of interwoven universal obligations. At the same time, O'Neill's approach to autonomy, trust, and trustworthiness offers a normative account to structure and analyze these complex relations of trust and trustworthiness using mobile health apps.

Knowledge gaps, attitudes, and practices regarding end-of-life medical care among physicians in an academic medical center

<b>Introduction:</b> End-of-life medical care (ELMC) plans and do-not-resuscitate (DNR) decision-making are usually affected by multiple factors compared to other medical care decisions.<b> </b>ELMC and DNR policy implementation are still diversified and heterogeneous, especially in Saudi Arabia, because policymakers have adopted no guidelines. Thus, this study investigated physicians’ knowledge, attitude, and practice regarding ELMC and DNR.<br /> <b>Methods:</b> A cross-sectional study design was adopted. Three hundred physicians working at King Fahad Hospital of the University, Khobar, Saudi Arabia, were randomly selected and administered an anonymous self-administered questionnaire using the Likert scale. Data analysis was carried out using SPSS 23.0.<br /> <b>Results: </b>Of 300 distributed questionnaires, 264 (88%) were completed and analysed. Knowledge gaps and negative attitudes were observed, a quarter of the participants were opposed to issuing a DNR order, and 29.0% considered DNR as equal to euthanasia as they practice. The participants’ patient age and religious factors were the most critical factors in the ELMC plan and DNR decision. The physician’s level of acceptance regarding a set of ELMC interventions and DNR decisions showed heterogenicity and uncertainty among participants.<br /> <b>Conclusions:</b> The ELMC plan and DNR decision-making should be appropriately addressed in the medical residents’ training programs to bridge the knowledge gap and the physicians’ negative attitudes during their practice. Additionally, there is a need to update and unify the DNR policies at the national level, considering the patient’s right to be informed and involved actively during the decision process making. Finally, more prospective research is needed for the global standardization of ELMC.

Personal Genomes in Practice: Exploring Citizen and Healthcare Professionals' Perspectives on Personalized Genomic Medicine and Personal Health Data Spaces Using a Mixed-Methods Design

Ongoing health challenges, such as the increased global burden of chronic disease, are increasingly answered by calls for personalized approaches to healthcare. Genomic medicine, a vital component of these personalization strategies, is applied in risk assessment, prevention, prognostication, and therapeutic targeting. However, several practical, ethical, and technological challenges remain. Across Europe, Personal Health Data Space (PHDS) projects are under development aiming to establish patient-centered, interoperable data ecosystems balancing data access, control, and use for individual citizens to complement the research and commercial focus of the European Health Data Space provisions. The current study explores healthcare users' and health care professionals' perspectives on personalized genomic medicine and PHDS solutions, in casu the Personal Genetic Locker (PGL). A mixed-methods design was used, including surveys, interviews, and focus groups. Several meta-themes were generated from the data: (i) participants were interested in genomic information; (ii) participants valued data control, robust infrastructure, and sharing data with non-commercial stakeholders; (iii) autonomy was a central concern for all participants; (iv) institutional and interpersonal trust were highly significant for genomic medicine; and (v) participants encouraged the implementation of PHDSs since PHDSs were thought to promote the use of genomic data and enhance patients' control over their data. To conclude, we formulated several facilitators to implement genomic medicine in healthcare based on the perspectives of a diverse set of stakeholders.

Personalized mobile technologies for lifestyle behavior change: A systematic review, meta-analysis, and meta-regression

Given that the one-size-fits-all approach to mobile health interventions have limited effects, a personalized approach might be necessary to promote healthy behaviors and prevent chronic conditions. Our systematic review aims to evaluate the effectiveness of personalized mobile interventions on lifestyle behaviors (i.e., physical activity, diet, smoking and alcohol consumption), and identify the effective key features of such interventions. We included any experimental trials that tested a personalized mobile app or fitness tracker and reported any lifestyle behavior measures. We conducted a narrative synthesis for all studies, and a meta-analysis of randomized controlled trials. Thirty-nine articles describing 31 interventions were included (n = 77,243, 64% women). All interventions personalized content and rarely personalized other features. Source of data included system-captured (12 interventions), user-reported (11 interventions) or both (8 interventions). The meta-analysis showed a moderate positive effect on lifestyle behavior outcomes (standardized difference in means [SDM] 0.663, 95% CI 0.228 to 1.10). A meta-regression model including source of data found that interventions that used system-captured data for personalization were associated with higher effectiveness than those that used user-reported data (SDM 1.48, 95% CI 0.76 to 2.19). In summary, the field is in its infancy, with preliminary evidence of the potential efficacy of personalization in improving lifestyle behaviors. Source of data for personalization might be important in determining intervention effectiveness. To fully exploit the potential of personalization, future high-quality studies should investigate the integration of multiple data from different sources and include personalized features other than content.