Clinics and Practice

Background: Internists formulate diagnostic hypotheses and personalized treatment plans by integrating data from a comprehensive clinical interview, reviewing a patient’s medical history, physical examination and findings from complementary tests. The patient treatment life cycle generates a significant volume of data points that can offer valuable insights to improve patient care by guiding clinical decision-making. Artificial Intelligence (AI) and, in particular, Generative AI (GAI), are promising tools in this regard, particularly after the introduction of Large Language Models. The European Federation of Internal Medicine (EFIM) recognizes the transformative impact of AI in leveraging clinical data and advancing the field of internal medicine. This position paper from the EFIM explores how AI can be applied to achieve the goals of P6 Medicine principles in internal medicine. P6 Medicine is an advanced healthcare model that extends the concept of Personalized Medicine toward a holistic, predictive, patient-centered approach that also integrates psycho-cognitive and socially responsible dimensions. An additional concept introduced is that of Digital Therapies (DTx), software applications designed to prevent and manage diseases and disorders through AI, which are used in the clinical setting if validated by rigorous research studies. Methods: The literature examining the relationship between AI and Internal Medicine was investigated through a bibliometric analysis. The themes identified in the literature review were further examined through the Delphi method. Thirty international AI and Internal Medicine experts constituted the Delphi panel. Results: Delphi results were summarized in a SWOT Analysis. The evidence is that through extensive data analysis, diagnostic capacity, drug development and patient tracking are increased. Conclusions: The panel unanimously considered AI in Internal Medicine as an opportunity, achieving a complete consensus on the matter. AI-driven solutions, including clinical applications of GAI and DTx, hold the potential to strongly change internal medicine by streamlining workflows, enhancing patient care and generating valuable data.

Background: The increasing incidence of spondylodiscitis and its potentially severe consequences when not promptly diagnosed highlight the need for further research to improve treatment guidelines, reduce mortality and morbidity and improve the quality of life in patients who suffer from persistent physical limitations. Methods: We collected data from 103 patients, with 8 patients lost to follow-up, who were diagnosed with vertebral osteomyelitis, disk infection or discitis between 2009 and 2018. The primary outcome was the 1-year mortality rate in patients treated with either conservative or surgical intervention, with both groups receiving antibiotic treatment. A standardized questionnaire was used to assess health-related quality of life after treatment by evaluating the European Quality of Life 5 Dimension 5 Level version (EQ-5D-5L) and the European Quality of Life Visual Analog Scale (EQ-VAS). In addition, we used the Oswestry Disability Index (ODI) and the Parker Mobility Score to identify backpain-related limitations after treatment. Results: The group receiving surgical treatment had a significantly lower 1-year mortality rate (22%) than did those who were treated conservatively, who had a 4-fold greater risk for death after a year following first diagnosis of SD and treatment. With respect to quality of life, 39 patients answered the standardized questionnaires during follow-up, and the questionnaire results revealed no significant difference in limitations in daily life or in health-related quality of life, with a median Parker Mobility Score of 9 for the conservatively treated patients compared with 7.5 for the surgically treated patients. This difference between the groups was not statistically significant, with a p value of 0.216 > α. A similar result was obtained in the evaluation of the ODI, with a medial index of 30% in the conservatively treated group compared with 24% in the surgical group, which was not statistically significant as indicated by a p value of 0.360 > α. Conclusions: The early surgical approach when treating spondylodiscitis is advantageous for identifying the underlying infection and initiating appropriate antibiotic therapy, therefore reducing mortality and resulting in a greater likelihood of full recovery than the conservative treatment does.

Background and objectives: Numerous studies and meta-analyses have established the efficacy of telemonitoring for blood pressure and other components of metabolic syndrome in improving disease management. Nevertheless, the adoption of telemonitoring technologies is often hindered by personal, technological, and systemic barriers. In Slovakia, where patient–physician contact rates are high, there is limited research on patients’ perspectives regarding telemedicine adoption for cardiovascular risk management. The objective of this study was to examine patients’ perspectives on and perceived obstacles to the use of telemonitoring for arterial hypertension and dyslipidemia in Slovakia. Methods: This cross-sectional, questionnaire-based survey targeted a cohort of 18,053 patients. The survey instrument was designed to gather data on several key areas: patient demographic characteristics, blood pressure measurement habits, the utilization of smart technologies, perceived benefits and barriers to telemonitoring, and patients’ knowledge of their lipid profiles and cardiovascular risk factors. Statistical analysis included chi-square tests, ANOVA, and effect size calculations with 95% confidence intervals (CI). Results: A total of 1787 patient responses (9.9%) were collected. Among the respondents, 67.4% (n = 1204) had arterial hypertension, while 7.9% (n = 95) were on non-pharmacological therapy. Only 21.2% (n = 255) of hypertensive patients measured their blood pressure daily, with a significantly higher proportion of men than women (28.6% vs. 12.7%, p = 0.011, Cohen’s d = 0.42). The most frequent users of blood pressure monitoring were in the 31–45 age group (p = 0.001, η² = 0.08). A total of 19.4% (n = 347) of respondents used wearable devices, and 6.3% (n = 113) used blood pressure monitors connected to an application. Smart technology use was significantly more common in the 31–45 age group (p = 0.01, Cramer’s V = 0.15). Moderate interest in telemedicine was expressed by 69.8% (n = 1247) of respondents, though only 27.4% (n = 490) showed strong interest. The majority of patients (73.8%, n = 1319) did not know their LDL-C levels, and 45.7% (n = 817) of those who did had elevated levels. Conclusions: The findings suggest that while interest in telemedicine methods for the management of arterial hypertension and dyslipidemia exists among Slovak patients, it is more moderate than initially assumed. Importantly, expressed willingness to participate in a study should not be directly equated with readiness to adopt new technologies in daily practice. Successful integration of telemonitoring into the Slovak healthcare system will therefore require not only patient engagement but also active support from healthcare providers to overcome practical and motivational barriers. These findings highlight the need for targeted implementation strategies that address the specific barriers identified in the Central and Eastern European healthcare context.