Background/Aims Medical documentation is an important and unavoidable part of a health professional's working day. However, the time required for medical documentation is often viewed negatively, particularly by clinicians with heavy workloads. Digital speech recognition has become more prevalent and is being used to optimise working time. This study evaluated the time and cost savings associated with speech recognition technology, and its potential for improving healthcare processes. Methods Clinicians were directly observed while completing medical documentation. A total of 313 samples were collected, of which 163 used speech recognition and 150 used typing methods. The time taken to complete the medical form, the error rate and error correction time were recorded. A survey was also completed by 31 clinicians to gauge their level of acceptance of speech recognition software for medical documentation. Two-sample t-tests and Mann–Whitney U tests were performed to determine statistical trends and significance. Results On average, medical documentation using speech recognition software took just 5.11 minutes to complete the form, compared to 8.9 minutes typing, representing significant time savings. The error rate was also found to be lower for speech recognition software. However, 55% of clinicians surveyed stated that they would prefer to type their notes rather than use speech recognition software and perceived the error rate of this software to be higher than typing. Conclusions The results showed that there are both temporal and financial advantages of speech recognition technology over text input for medical documentation. However, this technology had low levels of acceptance among staff, which could have implications for the uptake of this method.

Background/Aims Excellent hospital leadership is essential for the delivery of high-quality care and financial viability of healthcare services. In Germany, the role of chief executive officer of a hospital can be held by an individual with a medical or non-medical background. This study explored the potential differences between the structural and financial parameters of hospitals, depending on the background of their chairperson or chief executive. Methods Publicly available data on financial and structural parameters for 178 hospitals in Germany from the years 2015, 2016 and 2017 were collected and mean values were calculated for all variables. Nearest-neighbour matching was performed to allow comparisons to be made between hospitals with medical and non-medical leadership. Results While the results showed no significant differences between leadership types in terms of financial results, the values for structural characteristics, especially staffing levels, number of inpatient cases and case mix index values, were significantly higher for hospitals with medical leadership versus non-medical leadership. Conclusions Hospital leadership structure is a crucial factor in organisational performance. The presence of a person with a medical background at the top level of hospital management can have a beneficial impact on the delivery of healthcare.