Elsevier

Technovation

Volume 120, February 2023, 102544
Technovation

Quantum computing led innovation for achieving a more sustainable Covid-19 healthcare industry

https://doi.org/10.1016/j.technovation.2022.102544Get rights and content

Highlights

  • Assessing the potential applications of quantum computing in healthcare.

  • Structured approach of thematic analysis to map the areas for quantum computing.

  • Identifying the opinion and applications of quantum computing in bringing the innovative landscape in healthcare sector.

Abstract

Involvement of multiple stakeholders in healthcare industry, even the simple healthcare problems become complex due to classical approach to treatment. In the Covid-19 era where quick and accurate solutions in healthcare are needed along with quick collaboration of stakeholders such as patients, insurance agents, healthcare providers and medicine supplier etc., a classical computing approach is not enough. Therefore, this study aims to identify the role of quantum computing in disrupting the healthcare sector with the lens of organizational information processing theory (OIPT), creating a more sustainable (less strained) healthcare system. A semi-structured interview approach is adopted to gauge the expectations of professionals from healthcare industry regarding quantum computing. A structured approach of coding, using open, axial and selective approach is adopted to map the themes under quantum computing for healthcare industry. The findings indicate the potential applications of quantum computing for pharmaceutical, hospital, health insurance organizations along with patients to have precise and quick solutions to the problems, where greater accuracy and speed can be achieved. Existing research focuses on the technological background of quantum computing, whereas this study makes an effort to mark the beginning of quantum computing research with respect to organizational management theory.

Keywords

Quantum computing
Sustainability
Innovation
Healthcare
Covid-19
Organizational information processing theory

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