Abstract

This paper presents a holistic methodology for the design of medical device software, which encompasses of a new way of eliciting requirements, system design process, security design guideline, cloud architecture design, combinatorial testing process and agile project management. The paper uses point of care diagnostics as a case study where the software and hardware must be robust, reliable to provide accurate diagnosis of diseases. As software and software intensive systems are becoming increasingly complex, the impact of failures can lead to significant property damage, or damage to the environment. Within the medical diagnostic device software domain such failures can result in misdiagnosis leading to clinical complications and in some cases death. Software faults can arise due to the interaction among the software, the hardware, third party software and the operating environment. Unanticipated environmental changes and latent coding errors lead to operation faults despite of the fact that usually a significant effort has been expended in the design, verification and validation of the software system. It is becoming increasingly more apparent that one needs to adopt different approaches, which will guarantee that a complex software system meets all safety, security, and reliability requirements, in addition to complying with standards such as IEC 62304. There are many initiatives taken to develop safety and security critical systems, at different development phases and in different contexts, ranging from infrastructure design to device design. Different approaches are implemented to design error free software for safety critical systems. By adopting the strategies and processes presented in this paper one can overcome the challenges in developing error free software for medical devices (or safety critical systems).

Highlights

  • In the medical devices industry, software system failures can cost lives and result in fatal consequences

  • This paper presents a holistic methodology for the design of medical device software, which encompasses a new way of eliciting requirements, system design process, security design guideline, cloud architecture design, combinatorial testing process and agile project management

  • Unanticipated environmental changes and latent coding errors lead to operation faults despite the fact that usually a significant effort has been expended in the design, verification and validation of the software system

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Summary

Introduction

In the medical devices industry, software system failures can cost lives and result in fatal consequences. The POC device considered in this case uses the automated process control for measuring parameters pertained to medical diagnosis and it is used in a network connected environment, it meets the basic definition of the SCS. In this context, this paper shows how inherent complexity of software development process cycle for the POC system, can be project managed, designed and verified, using the methodologies, tools and system design concepts that are followed in prototyping the POC device.

Issues with Current Process
Requirement Pyramid Model Example
Basic Building Blocks Identification
Isolating System Module Responsibilities
Creating Loosely Coupled Modules
Actuation Channels and Actuation Confirmation channels
User Data
Security Threat Modeling
Processing Data in POCT Devices
Clinical and Surveillance Data Collection
User authentication
Safely Dispose of the Testing Device
P-cloud Architecture for Delivering Error Free SW System
Data Mining Database
Execution Path Database
Deployment Database
Benefits of Adopting IEC62304 at Early Stages of Development
Using Combinatorial Design Methodology for Generating Smart Testing Vectors
Project Management in IEC62304
Agile Project Management Process
10. Conclusions
Full Text
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