De opkomst van Chat GPT laat zien hoe AI ingrijpt in ons dagelijks leven en het onderwijs. Maar AI is meer dan Chat GPT: van zoekmachines tot de gezichtsherkenning in je telefoon: data en algoritmes veranderen de levens van onze studenten en hun toekomstige werkveld. Wat betekent dit voor de opleidingen in het HBO waar voor wij werken? Voor de inspiratie-sessie De maatschappelijke impact van AI tijdens het HU Onderwijsfestival 2023 hebben wij onze collega’s uitgenodigd om samen met ons mee te denken over de recente AI-ontwikkelingen. We keken niet alleen naar de technologie, maar juist ook naar de maatschappelijke impact en wat de kansen en bedreigingen van AI zijn voor een open, rechtvaardige en duurzame samenleving. Het gesprek voerde we met onze collega’s (zowel docenten als medewerkers van de diensten) aan de hand van drie casussen met. De verzamelde resultaten en inzichten van deze gesprekken zijn samengebracht op een speciaal ontwikkelde poster voor de workshop (zie figuur 1). We hebben deze inzichten gebundeld en hieronder zijn ze te lezen.
Background: Home care professionals regularly observe drug-related problems during home care provision. Problems related to the process of the medication therapy could involve discrepancies in medication prescriptions between the hospital discharge letter and the medication administration record lists (MARL) or insufficient drug delivery. The objective of this study is to determine the potential clinical consequences of medication process problems observed by home care professionals, since those consequences have not been assessed before. Methods: A retrospective descriptive study design was performed. An expert panel performed an assessment procedure on the clinical consequences of medication process problems. Such problems were reported by home care professionals during routine care (May 2016 until May 2017) using the eHOME system, which is a digital system developed to assist in the reporting and monitoring of drug-related problems. Using a three-point scale, an expert panel assessed the potential clinical consequences of those medication process problems among older home care patients (aged 65 years and over). Results: 309 medication process problems in 120 out of 451 patients were assessed for potential discomfort or clinical deterioration. The problems involved the following: medication discrepancies (new prescription not listed on the MARL [n = 69, 36.7%]; medication stopped by the prescriber but still listed on the MARL [n = 43, 22.9%]; discrepant time of intake [n = 25, 13.3%]; frequency [n = 24, 12.8%]; and dose [n = 21, 11.2%], therapeutic duplication listed on the MARL [n = 5, 2.6%]; and discrepant information on route of administration [n = 1, 0.5%]); an undelivered MARL [n = 103, 33.3%]; undelivered medication [n = 16, 5.2%]; and excessive medication delivery [n = 2, 0.7%]. Furthermore, 180 (58.2%) out of 309 medication process problems were assessed as having the potential for moderate or severe discomfort or clinical deterioration in patients. Conclusions: The majority of medication process problems may result in patient discomfort or clinical deterioration.
Background: after hospitalisation for cardiac disease, older patients are at high risk of readmission and death. Objective: the cardiac care bridge (CCB) transitional care programme evaluated the impact of combining case management, disease management and home-based cardiac rehabilitation (CR) on hospital readmission and mortality. Design: single-blind, randomised clinical trial. Setting: the trial was conducted in six hospitals in the Netherlands between June 2017 and March 2020. Community-based nurses and physical therapists continued care post-discharge. Subjects: cardiac patients ≥ 70 years were eligible if they were at high risk of functional loss or if they had had an unplanned hospital admission in the previous 6 months. Methods: the intervention group received a comprehensive geriatric assessment-based integrated care plan, a face-to-face handover with the community nurse before discharge and follow-up home visits. The community nurse collaborated with a pharmacist and participants received home-based CR from a physical therapist. The primary composite outcome was first all-cause unplanned readmission or mortality at 6 months. Results: in total, 306 participants were included. Mean age was 82.4 (standard deviation 6.3), 58% had heart failure and 92% were acutely hospitalised. 67% of the intervention key-elements were delivered. The composite outcome incidence was 54.2% (83/153) in the intervention group and 47.7% (73/153) in the control group (risk differences 6.5% [95% confidence intervals, CI -4.7 to 18%], risk ratios 1.14 [95% CI 0.91-1.42], P = 0.253). The study was discontinued prematurely due to implementation activities in usual care. Conclusion: in high-risk older cardiac patients, the CCB programme did not reduce hospital readmission or mortality within 6 months.
Antimicrobial Resistance (AMR), the ability of micro-organisms to resist antibiotics, is associated with ~4.9 million deaths globally, reported in 2022. In the EU alone, more than 35.000 people die from antimicrobial-resistant infections annually, resulting in loss of life as well as €1.5Bn/year in healthcare costs and productivity losses. Rapid diagnostics tests are needed, current testing takes between 24 hours to a few days (for slow growing microorganisms), delaying patient treatment and severely impacting treatment outcomes. SoundCell BV have developed a technique (TRL5), for real-time detection of bacteria's viability in the presence of antibiotics. Nano-mechanical vibration of an ultrathin graphene sheet correlates to viability of bacteria immobilized on this sheet. Bacterial motion is transferred to this sheet, and movement of this sheet is tracked via a high-speed laser. Living bacteria produce a strong signal, which diminishes when antibiotics kill them. Unaffected by growth rates, results are achieved in one hour with this technique. This technology opens up possibility for rapid diagnostics of antibiotic resistance in patients with infections of slow growing pathogens (such as mycobacteria and yeast). In such cases the time to result is slowest, significantly delaying effective patient treatment. We aim to validate this technique in our clinical microbiology laboratory.
