Medical software is developed to meet the specific needs of the medical sector, complying with the relevant regulations and ensuring patient safety. Medical software can be divided into six categories, Hospital Management Systems (HMS), Electronic health records (EMRs), Therapy Management Software, Diagnostic and imaging systems, Telemedicine apps and Clinical Research Software.
Challenges related to medical software, include:
- Data security. Data breaches can have serious consequences for the privacy and reputation of healthcare institutions. Therefore, it is essential that the software includes robust cybersecurity measures (e.g., data encryption, or control of the corporate network perimeter) to protect sensitive information.
- Integration of software systems. Integrating applications within hospitals and clinics and externally, with partner organizations such as diagnostic centers or home automation patients, is complex. In fact, it is essential that the different software are interoperable to ensure a continuous workflow and effective information sharing.
- Training. The medical-administrative staff must be trained continuously and adequately. Resistance to change and digital illiteracy can hinder the adoption of medical software.
This project aims at developing tools that address one or a combination of the above issues regarding AI-enhanced technologies in medical applications.