AI Medical Compendium Journal:
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz

Showing 1 to 10 of 12 articles

[Digital innovations in vaccination communication].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Despite the significant success of vaccinations, increasing vaccine hesitancy poses a threat to public health, making effective vaccination communication essential. Both personalized, needs-based conversations between healthcare providers and patient...

[Supporting medical and nursing activities with AI: recommendations for responsible design and use].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Clinical decision support systems (CDSS) based on artificial intelligence (AI) are complex socio-technical innovations and are increasingly being used in medicine and nursing to improve the overall quality and efficiency of care, while also addressin...

[Digital technologies in nursing-what can they achieve?].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Digital care technologies are becoming increasingly important in long-term care. They encompass all technologies that change processes and products by means of networking and/or sensor technology and include artificial intelligence, that is, processe...

[Artificial intelligence and secure use of health data in the KI-FDZ project: anonymization, synthetization, and secure processing of real-world data].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
The increasing digitization of the healthcare system is leading to a growing volume of health data. Leveraging this data beyond its initial collection purpose for secondary use can provide valuable insights into diagnostics, treatment processes, and ...

[Use of AI-based applications by hospital staff: task profiles and qualification requirements].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
BACKGROUND: Artificial intelligence (AI) is becoming increasingly important for the future development of hospitals. To unlock the large potential of AI, job profiles of hospital staff members need to be further developed in the direction of AI and d...

[Artificial intelligence and ethics in healthcare-balancing act or symbiosis?].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Artificial intelligence (AI) is becoming increasingly important in healthcare. This development triggers serious concerns that can be summarized by six major "worst-case scenarios". From AI spreading disinformation and propaganda, to a potential new ...

[Digitalization in healthcare: today and in the future].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Although Germany continues to struggle with the digital transformation of healthcare, there is reason for optimism. The political will to improve healthcare with digital technologies has been underpinned by numerous legal initiatives since 2018. In a...

[Artificial intelligence in the diagnosis of rare disorders: the development of phenotype analysis].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Rare diseases can often be diagnosed by carefully assessing the phenotype of the patient, as characteristic deviations (dysmorphisms) occur in many genetic diseases. These affect, for example, the features of the face - the "facial gestalt."This pape...

[Digitization of the healthcare system: the BfArM's contribution to the development of potential].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Digitalization is a clear megatrend of our time, also in the health sector, which is currently experiencing enormous acceleration due to the COVID-19 pandemic in addition to paving the way due to changes in the legal framework. Looking to the future,...

[Digital data for more efficient prevention: ethical and legal considerations regarding potentials and risks].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Digitization offers considerable potential for strengthening prevention in the healthcare system. Data from various clinical and nonclinical sources can be collected in a structured way and systematically processed using algorithms. Prevention needs ...