Editor’s note: In the article, Alena Nikuliak explains how to overcome 3 main challenges of creating and using a software platform for connected medical devices relying on her expertise in healthcare IT consulting and ScienceSoft’s 16 years experience in software development for healthcare organizations and producers of medical devices. If you want to ascertain ScienceSoft’s expertise, check our approach to the development of medical device software.
As my practice shows, the booming market of connected medical devices still presents certain challenges both to medical device producers and users. Earlier, I discussed the problems that manufacturers of wearable biosensors and other medical devices can encounter. Now, I’d like to focus on the difficulties that healthcare organizations that use connected devices in their medical networks can encounter when creating a software ecosystem for them.
Below, you’ll find out how we at ScienceSoft help our customers to handle the main issues with security and data privacy, the high cost of development and implementation, and a time-consuming process of user adoption.
Protection against data leakage is the main concern in connected devices solutions that our customers from the healthcare industry have. To achieve high-level cybersecurity and guarantee HIPAA compliance and patient data privacy when developing software ecosystems for connected devices, I offer our clients to use data anonymization, encryption (both “on the wire” and “at rest”), role-based access control, data access audit, automatic logoff and elaborate user permission settings. And after the ecosystem’s release, I recommend them to ensure regular vulnerability assessment and penetration testing.
Also, to ensure information security in software platforms for connected medical devices, I recommend deploying a SIEM technology to run continuous network monitoring. For example, in our project for a large hospital, ScienceSoft’s team implemented the IBM QRadar SIEM platform to secure the customer’s internal processes, systems and connected devices.
A well-functioning IoMT solution can lower healthcare costs, improve staff performance and increase patient satisfaction in the long run. However, to create a full-fledged medical device network, a healthcare organization requires the considerable time and effort of highly qualified developers well-versed in cloud development, big data and data analytics technologies. To pay off the expenses quicker, I recommend you create a cost optimization plan, follow the iterative development approach and focus on core functionality at first to avoid overly complex features.
As some of care providers complain, it’s not that easy to master applications for connected medical devices due to their specifics: medical staff receives data each minute in those apps, and it is difficult to focus on what’s important. Thus, to shorten user adoption time, ScienceSoft’s teams develop software with user-friendly UI as seen in this hospital app demo and create a user adoption strategy and user guidelines according to particular user needs.
As my experience in healthcare IT consulting shows, a high-quality software system for connected medical devices can help healthcare organizations streamline their working processes, enhance workflow effectiveness, prevent human error, and increase patient satisfaction. If you’re not sure how to secure these benefits in your specific case, ScienceSoft’s team and I are ready to discuss your situation, so feel free to turn to us.
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