Monday, 22 June 2026 10:00 AM
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A pharmacist-turned-information technology researcher explores how artificial intelligence, cloud computing, and healthcare data integration can improve medication management, patient safety, and clinical decision support.
HOUSTON, TX / ACCESS Newswire / June 22, 2026 / From Pharmacy to Artificial Intelligence: How Ramchandra Pudasaini Is Exploring Technology-Driven Solutions for Medication Management and Healthcare Innovation
Healthcare systems worldwide continue to face challenges related to medication errors, fragmented healthcare data, disconnected clinical workflows, and increasing demands for data-driven decision-making. While digital transformation continues to reshape healthcare delivery, the challenge of turning healthcare data into actionable clinical intelligence remains a significant priority.
For Ramchandra Pudasaini, these challenges represent opportunities to improve healthcare through innovation.
Beginning his professional career in pharmacy, Pudasaini gained firsthand experience in medication management, pharmaceutical operations, patient counseling, healthcare compliance, and healthcare delivery. Through years of work in the pharmaceutical sector, he observed how critical healthcare information often remains scattered across multiple systems, creating barriers to efficient decision-making and coordinated patient care.
These experiences inspired his transition toward information technology and healthcare innovation.
Today, Pudasaini combines expertise in pharmaceutical sciences and information technology to explore how artificial intelligence, healthcare analytics, cloud computing, and healthcare data integration can support medication management, patient safety, and clinical decision support.
He holds Bachelor of Pharmacy and Master of Pharmacy degrees and is currently pursuing a Master of Science in Information Technology at the University of the Cumberlands in the United States. His interdisciplinary background allows him to approach healthcare challenges from both clinical and technological perspectives.
His scholarly work includes peer-reviewed publications in pharmaceutical sciences and healthcare technology. In 2025, he published "Evaluation of Antiepileptic Activity of Cassia auriculata Flower Extracts in Mice" in the Journal of Population Therapeutics and Clinical Pharmacology, contributing to research involving neurological disorders and pharmacological evaluation.
Building on that foundation, Pudasaini expanded his research focus into healthcare technology and artificial intelligence. In 2026, he published "Artificial Intelligence and Cloud-Based Healthcare Data Integration for Medication Management and Clinical Decision Support Systems," a study examining how artificial intelligence and cloud-based healthcare architectures may improve medication safety, healthcare interoperability, adverse drug event prediction, and evidence-based clinical decision-making.
The publication explores how healthcare data from electronic health records, pharmacy systems, wearable devices, and other healthcare sources can be integrated and analyzed to support more informed healthcare decisions. As healthcare organizations continue adopting digital technologies, research in this area may contribute to improving healthcare efficiency, reducing medication-related risks, and strengthening patient safety initiatives.
Beyond publishing research, Pudasaini actively contributes to the scientific community through scholarly peer review. He has reviewed research manuscripts in clinical pharmacology, healthcare research, microbiology, and biomedical sciences, supporting the scientific publication process and contributing to the advancement of evidence-based research.
His research activities have also generated scholarly recognition through citations and academic engagement. Through his Google Scholar profile, Pudasaini has accumulated citations to his work while continuing to expand his research portfolio in healthcare technology and pharmaceutical sciences. His current scholarly profile includes multiple peer-reviewed publications, citation activity, peer-review contributions, and ongoing research focused on healthcare innovation.
In addition to research, Pudasaini develops healthcare-focused technology projects designed to explore practical applications of artificial intelligence and healthcare analytics. His project portfolio includes concepts involving medication adherence monitoring, AI-assisted drug interaction analysis, virtual pharmacist support technologies, healthcare analytics dashboards, and cloud-based healthcare data integration systems.
Pudasaini believes that artificial intelligence should function as a tool that supports healthcare professionals rather than replaces them. By combining healthcare expertise with modern information technologies, he sees opportunities to improve clinical workflows, enhance medication safety, strengthen healthcare interoperability, and support data-driven healthcare systems.
His current areas of interest include:
• Artificial Intelligence in Healthcare
• Medication Management Technologies
• Clinical Decision Support Systems
• Healthcare Data Integration and Interoperability
• Cloud Computing in Healthcare
• Healthcare Analytics and Patient Safety
• Digital Health Innovation
Beyond his academic and technical work, Pudasaini maintains an active professional presence through scholarly and technology platforms including Google Scholar, ORCID, ResearchGate, and GitHub, where he shares research activities, publications, and technology projects.
As healthcare systems continue evolving, professionals who can bridge healthcare and information technology may play an increasingly important role in shaping future healthcare solutions. Pudasaini's work reflects a broader effort to explore how emerging technologies can support safer, more efficient, and more connected healthcare environments.
Looking ahead, he hopes to contribute to the development of scalable healthcare technologies that improve medication management, support healthcare professionals, enhance patient outcomes, and advance healthcare modernization through responsible implementation of artificial intelligence and cloud computing.
Professional Snapshot
Ramchandra Pudasaini
Registered Pharmacist
Master of Pharmacy (Pharmacology)
Master of Science in Information Technology Candidate
Published Researcher
Peer Reviewer
Healthcare AI and Cloud Computing Researcher
Selected Accomplishments
Author of two peer-reviewed publications.
Google Scholar citation record with 12+ citations.
Peer Reviewer for the Journal of Population Therapeutics and Clinical Pharmacology.
Member of the American Association of Pharmaceutical Scientists (AAPS).
Member of the Association for Computing Machinery (ACM).
Developer of healthcare-focused AI and analytics projects related to medication management and clinical decision support.
Research Interests
Artificial Intelligence in Healthcare | Medication Management | Healthcare Analytics | Clinical Decision Support Systems | Healthcare Interoperability | Cloud-Based Healthcare Systems | Digital Health Innovation
Ramchandra Pudasaini
Healthcare AI and Clinical Informatics Researcher
Houston, Texas, USA
Email: [email protected]
https://www.linkedin.com/in/ramchandra-pudasaini-060683141/
https://github.com/ramhealthai
https://scholar.google.com/citations?user=UWaP85YAAAAJ&hl=en
SOURCE: Ramchandra Pudasaini