Artificial intelligence is changing a company’s DNA in the Healthcare Industry. This change requires a strong leader at the top – with the ability to think strategically and with a foresight to develop an AI vision of the future, a high level of technological understanding, the willingness to act agile, constant adaptation and responsible decision-making. AI enables decision-making based on large amounts of data. In the management of hospitals, for example, the technology can help to better manage occupancy.
Artificial intelligence will not replace jobs in the healthcare market, but it will change job profiles considerably. This is particularly noticeable in the employees who deal with the diagnosis of diseases such as cancer and diseases from the fields of neurology and cardiology. This requires a high level of trust in the intelligent diagnostic tool from doctors and other health professionals. AI rewards you with shorter waiting times for the result and more time for the individual patient. In the future, routine workflows in healthcare can be delegated to learning computer systems, while employees will primarily be asked for the skills that human intelligence requires: solving problems, leading people, creating innovations. The training and development of the workforce must be based on this goal.
Artificial intelligence is changing everyday clinical practice and creating better care for the patient, for example in the area of cancer diagnosis and the early detection of dementia and heart disease.
The emerging triangular relationship between artificial intelligence (AI), doctors and patients has the potential for new power asymmetries between humans and machines. In a field of tension between technological progress and the associated optimization potential, the question of decision-making sovereignty in treatment and not least the handling of health data, it is important to make the right decisions for the future.
Decision making
Technologies such as natural language processing can capture the language and process it on the basis of algorithms. In this way, they help the doctor to make decisions.
On the part of the doctors, the expectation is that artificial intelligence only serves as an aid in treatment decisions and that no decision-making authority is transferred to it. AI already fulfils this role very successfully in radiology when evaluating tomographies. The fact that the success of treatment depends on a particular degree on human interaction between doctors and patients suggests that the decision-making authority should remain with the treating doctor. In addition, different findings generated by AI can differ from one another on the same facts. Nonetheless, AI will affect the roles of healthcare workers. However, the forecast changes can definitely be rated as positive. The use of artificial intelligence in healthcare can save valuable time that was previously required for administrative process steps. This creates more space for human contact between employees and patients.
Billions in cost savings
Studies and experts clearly show: Artificial intelligence can save billions of dollars in the entire healthcare market. The technology is now so advanced that it can make sense of the complexities of electronic medical records and be predictive in understanding complex areas like SNOMED CT codes and even be integral to rapid patient recruitment in clinical trials.
