Robotic Process Automation in Healthcare - Streamlining Precision Medicine Workflows With AI
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Keywords:
Robotic Process Automation, RPA, Artificial Intelligence, Precision Medicine, Healthcare Automation, Workflow Optimization, Patient Care, Treatment Efficiency, Decision SupportAbstract
Robotic Process Automation (RPA) and Artificial Intelligence (AI) are revolutionizing healthcare by enhancing precision medicine workflows. This paper explores how RPA, coupled with AI, streamlines these workflows, improving patient care and treatment outcomes. By automating repetitive tasks, RPA reduces human errors and increases operational efficiency. AI, on the other hand, enhances decision-making by analyzing complex data sets and providing valuable insights. Together, they optimize processes in precision medicine, enabling healthcare providers to deliver personalized and timely care.
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License Terms
Ownership and Licensing:
Authors of this research paper submitted to the Journal of Science & Technology retain the copyright of their work while granting the journal certain rights. Authors maintain ownership of the copyright and have granted the journal a right of first publication. Simultaneously, authors agreed to license their research papers under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
License Permissions:
Under the CC BY-NC-SA 4.0 License, others are permitted to share and adapt the work, as long as proper attribution is given to the authors and acknowledgement is made of the initial publication in the Journal of Science & Technology. This license allows for the broad dissemination and utilization of research papers.
Additional Distribution Arrangements:
Authors are free to enter into separate contractual arrangements for the non-exclusive distribution of the journal's published version of the work. This may include posting the work to institutional repositories, publishing it in journals or books, or other forms of dissemination. In such cases, authors are requested to acknowledge the initial publication of the work in the Journal of Science & Technology.
Online Posting:
Authors are encouraged to share their work online, including in institutional repositories, disciplinary repositories, or on their personal websites. This permission applies both prior to and during the submission process to the Journal of Science & Technology. Online sharing enhances the visibility and accessibility of the research papers.
Responsibility and Liability:
Authors are responsible for ensuring that their research papers do not infringe upon the copyright, privacy, or other rights of any third party. The Journal of Science & Technology and The Science Brigade Publishers disclaim any liability or responsibility for any copyright infringement or violation of third-party rights in the research papers.