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2019: Beyond the digital hype 

APPLICATION AREAS OF DIGITALISATION

VIRTUALISE

The creation of augmented or virtual realities delivers new opportunities for diagnostics, treatments and medical education.

AUTOMATE

Computer-operated systems take over tasks and processes with software and/or robotic instruments.

CONNECT

Digital infrastructures facilitate the exchange of information between people and machines.

REALISE

Powerful computers and production technologies enable the development and production of small-scale and decentralised services and products.

PROMISES

Human augmentation

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.

Decentralised Access

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.

Empowered Patients

Improved access to information enables the participation of patients in treatment decisions, which results in a more efficient treatment provision that is better aligned with individual needs.

Improved collaboration

Digital infrastructures facilitate the exchange and employment of data between different healthcare actors, thereby reducing the redundancy of medical services.

Personalised Therapies

The utilisation of personal data enables delivery of care tailored to patients’ individual characteristics. This reduces negative side effects and increases the effectiveness of interventions.

Quantified Outcomes

Expanding availability of medical data supports the shift towards an outcome-oriented healthcare system, where medical decisions and reimbursements are based on objective outcomes.

Preventive and predictive treatments

Monitoring applications detect health risks and expand opportunities for early interventions and prevention, thereby improving individual health and reducing treatment costs.

LIMITATIONS

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.

INFORMATION OVERLOAD

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.

LIMITATIONS OF ALGORITHMS TO COPE WITH COMPLEX CHALLENGES

The applicability of machine learning tools is limited to repetitive tasks such as image analysis and pattern recognition. Medical information often is too complex or unstructured.

AUTOMATION CREATES NEW RISKS

Whereas automating medical processes can improve diagnostic quality and patient safety, it can also lead to lack of understanding and biases in the absence of human monitoring.

QUANTIFICATION HAS ITS LIMITS

The objective evaluation of medical performances along quantitative benchmarks cannot incorporate subjective parameters due to their inconsistent and incomparable nature.

REDUCED LIFECYCLE AND HIGH OPERATIONAL COSTS OF INFRASTRUCTURE

Digitally enhanced infrastructure increases set-up and maintenance costs and is more difficult to amortise because of shorter lifecycles as well as higher energy costs.

LOSS OF SYSTEM INTEGRITY AND LOSS OF PRIVACY

The connectivity between digital tools puts pressure on system integrity and increases the negative consequences of possible security breaches and cyberattacks.

Potentials
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.

GUIDED EMPOWERMENT

Digitalisation advances health literacy and patient involvement, under the condition of transparent and guided delivery of information.

PREVENTION THROUGH ENGAGEMENT

Digitalisation facilitates the application of tools for early-intervention and prevention, provided they are in alignment with individual needs and capable to engage and motivate people.

OUTCOME-BASED DECISIONS

Digitalisation improves the comparability of treatment outcomes for cases where a clear distinction between objective and subjective quantification is possible.

MONITORED DATA-DRIVEN RESEARCH

Digitalisation assists in the discovery and application of new and more effective treatments, as long as data quality and automation processes are monitored by professionals.

IMPROVED EFFICIENCY

Digitalisation produces efficiency gains by reducing the occurrence of duplicate tests and cutting out the middlemen by offering direct treatment opportunities.

Fields of action

ORGANISING

the preparation of medical data (aggregating, structuring, selecting, cleaning) and the corresponding infrastructure to improve output quality.

CERTIFYING

Conduct clinically validated quality assessments and provide corresponding certificates to inform consumers about the effectiveness of digital health products such as wearables.

REDEFINING

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.

INCLUDING

Truly consider people’s needs (e.g. ethical guidelines and values) as a starting point of an electronic health database, which empowers people to manage the usage and dissemination of their individual health data.

COOPERATING

Provide integrated health offers through new partnerships across sectors. A set of shared values and a common strategic vision need to be established as a prerequisite for those new ecosystems.

GUIDING

Offer orientation for patients and practitioners in the interpretation of their health data and recommend relevant actions.

NAVIGATING

Guide and manage individual healthcare across the lifespan, including the support of healthy behaviour, treatment recommendations and the promotion

EDUCATING

Redesign educational programs to provide patients with the skills required to take advantage of the digital tools and health data at their disposal.

FUTURE NEEDS

Affordability

Deliver cost-effective and affordable treatments to ensure a sustainable consumption of public resources.

HIGHEST QUALITY

Strive for the highest quality of care to safeguard the best possible health outcome.

ACCESS

Offer a broad range of treatments available to everyone, with a minimised degree of waiting time.

PRIVACY

Protect and recognise the disclosure of personal data as an essential part of individual identity.

PERSONALISATION

Provide treatments tailored to distinctive physical characteristics, lifestyles and preferences.

SOLIDARITY

Endorse the awareness of collectively shared interests and promote a sense of societal unity.