2019: Beyond the digital hype
APPLICATION AREAS OF DIGITALISATION
The creation of augmented or virtual realities delivers new opportunities for diagnostics, treatments and medical education.
Computer-operated systems take over tasks and processes with software and/or robotic instruments.
Digital infrastructures facilitate the exchange of information between people and machines.
Powerful computers and production technologies enable the development and production of small-scale and decentralised services and products.
Digital technologies can be used to improve cognitive and physical capacities through invasive or non-invasive interventions.
Enhanced medical research
Through in silico clinical trials, additive manufacturing and increasing access to data, new ways of drug discovery and production arise.
On-demand and decentralised services provide care in patient’s living environment. Costs can be reduced while quality of care and convenience can be improved.
NEGLECTED DESIRE FOR HUMAN PROXIMITY
The reliance on digital communication tools and interaction with technologies can neglect the relevance of empathy and human interaction in case of high severity or trust.
LOW-QUALITY INPUT LEADS TO LOW-QUALITY OUTPUT
Inferences drawn from data can be inaccurate or undesirable because the underlying information is unstructured, unreliable or simply lacking.
Patients and practitioners might lack the skills and/or resources to derive relevant interpretations from health data, or the motivation to convert information into behavioural change.
Beyond the hype
DECENTRALISATION OF SOLUTIONS WITH ASSURED QUALITY
Digitalisation enables a decentral and on-demand delivery of healthcare services with lower levels of complexity for which sufficient quality of care can be assured.
PERSONALISED THERAPIES BASED ON QUANTIFIABLE MEDICAL PARAMETERS
Digitalisation supports the development of tailored treatments according to behavioural patterns, preferences or single genetic alterations.
AUTOMATION OF REPETITIVE PROCESSES AND SERVICES
Digitalisation permits the automation of repetitive tasks, such as pattern recognition in high-quality structured datasets, in which consistent causalities can be reasonably assumed.
Fields of action
the preparation of medical data (aggregating, structuring, selecting, cleaning) and the corresponding infrastructure to improve output quality.
Conduct clinically validated quality assessments and provide corresponding certificates to inform consumers about the effectiveness of digital health products such as wearables.
Shift the existing focus on treatments towards a more comprehensive concept of health to all areas of life, ranging from prevention to treatment, rehabilitation, care and palliative care including a self-determined end of life.
Deliver cost-effective and affordable treatments to ensure a sustainable consumption of public resources.
Strive for the highest quality of care to safeguard the best possible health outcome.
Offer a broad range of treatments available to everyone, with a minimised degree of waiting time.