Sessions

The need for new skills for doctors innovating for the future and why an entrepreneurial mindset could be part of the solution. 

A lecture that is 100% generated and held by an AI? A few years ago that might have sounded like a science fiction scenario, but with the current tools such as Replika, GPT-3, DALL-E, MidJourney and more, AI content is being produced in a very high speed. In this lecture, a combination of AI techniques will be used to generate a lecture, fully held by the AI avatar ANDI about what the various algorithms think about the advancement of AI in health care for diagnosis, treatment and support. 

Privacy-enhancing technologies (PET) are becoming more important in the context of open data and data sharing approaches. Anonymization as one PET can address privacy concerns by manipulating data in a way that it can't be related to a person anymore. Resulting constrains in data quality need to be thoroughly investigated to ensure that implications drawn from the data are not biased. In our real-world application, we aimed to provide utility-preserved anonymized data while scaling privacy.  

The shortage of skilled nursing personnel is – among other reasons – due to the low attractiveness of the profession, comprising high workloads and atypical working hours. Studies show that speech-based documentation systems increase documentation efficiency and satisfaction of physicians. This paper describes the development process of a speech-based application to support nurses, according to the user-centered design approach. User requirements were collected based on interviews (n=6) as well as observations (n=6) in three institutions and were evaluated by means of qualitative content analysis. A prototype of the derived system architecture was implemented. Based on a usability test (n=3), further potentials for improvement were determined. The resulting application enables nurses to dictate personal notes, share them with colleagues and transmit notes to the existing documentation system. We conclude that the user-centered approach ensures the extensive consideration of the nursing staff’s requirements and shall be continued for further development.

The aim of this work is to develop and evaluate a multi-stage procedure model for the identification of use problems and optimization of usability using biosignal data. The concept is divided into 5 steps: 1. static analysis of data to identify use problems; 2. conducting interviews within the context of use and requirements analysis to investigate problems in more detail; 3. developing new interface concepts to implement the requirements and a prototype of an interface including dynamic visualization of data; 4. formative evaluation using an unmoderated remote usability test; 5. usability test with realistic scenarios and influencing factors in the simulation room. The concept was evaluated in the ventilation setting as an example. The procedure allowed the identification of use problems in the ventilation of patients as well as the development of suitable concepts and their evaluation to counteract use problems. To relieve users, ongoing analyses of biosignals with respect to the use problem are to be carried out. To overcome technical barriers, further development is needed in this area.

Nursing practice is transforming at pace to lead improvements in patient outcomes in hospital, primary and community practice. New opportunities are emerging in advanced nursing practice which is a new level of practice defined by knowledge and skills acquisition. There are 4 leadership domains of advanced clinical practice: clinical, professional, health system and health policy leadership. A key component of health systems leadership is driving system change through digital transformation and clinical informatics. The approach to developing advanced clinical practice in east London will be described. Embedded in our approach is the systematic use of our multidisciplinary ‘WeConnect’ digital transformation programme. To implement change and training, a thorough clinical and technical understanding are both needed. This is where the role of the nursing and medical informaticists alongside innovative and engaging advanced clinical practitioners is essential. Key skills for advanced clinical practitioners are the development of autonomous clinical practice based on a foundation of digital skills. These include: use of SNOMED-CT for problem and procedure listing and decision support, analytics and risk based assessments derived from the real world data recorded in the electronic health record. Supporting the journey towards higher levels of digital and SNOMED-CT maturity is a key organisational objective.

Age-related macular degeneration (AMD) is a major cause of blindness in the West. This study utilizes spectral domain optical coherence tomography (SD-OCT) for retinal imaging and deep learning for analysis. A convolutional neural network (CNN) was trained on 1300 expert-annotated SD-OCT scans to identify AMD biomarkers. Transfer learning improved the CNN's performance using weights from a separate classifier. The model accurately detects and segments AMD biomarkers in OCT scans, potentially assisting in patient prioritization and reducing ophthalmologists' workloads.