How well-founded are the quality guarantees of new technology-based products? It is the question that this article seeks to answer to generate an analysis of the pros and cons of the regulations that exist around the process of creating and selling these applications. Therefore, it emphasizes on the importance of a role model for validating and verifying the functionality of emerging technologies.
On multiple occasions one becomes more in line with the proliferation of products or services and not in the process that they went through to reach the hands of the consumer. For Digital Health – which has been on the map of health services and expanding at high speed for only a couple of decades – there are few processes that validate the quality of a product in terms of patient safety, technical, clinical and systemic aspects.
Currently, the quality monitoring processes of a product fall on the production of a technology, but there are not necessarily rigorous processes that monitor the quality of products in terms of functionality, usability, and safety aspects for the patient. Therefore, regulatory bodies aim to give more weight to regulations that ensure the care of the quality of products, subjecting them to functionality tests before operating formally.
Since 2010, acceptance requirements for technological applications, used for Digital Health, have been innovating to make user confidence increasing and safe to access. After that, the National Health System of the UK (NHS) has developed a fault detector.
COMPONENTS FOR QUALITY SERVICE
The model that health services seek to plot, requires an investment in expenses and time ensuring that the product developed is of quality to meet the needs of the client. For this reason, the following attributes are contemplated that underpin and guarantee the quality of new technology-based products.
- Technical: Ensures that the system configurations meet the specifications necessary so that the results produced by the programs are as reliable as possible and free of margin of error.
- Clinical: To demonstrate the efficiency and accuracy of disease diagnosis and treatments.
- Usability: Patients and users can synchronize and have easy access to the elements of the new Digital Health systems and do not be complicated to use them.
- Cost: There must be a balance between the price of the products and their profitability so that there are no suspicions of inefficiencies or likely factory defects in the near future.
At the same time, the government and organizations are responsible for certifying the proper functioning of technological systems along with their effectiveness within Digital Health through public policies.
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