ABSTRACT TOPICS: Abstracts are accepted on a wide range of topics. The corresponding topic must be selected to ensure correct scoring of the abstract. The content of the abstract must be topic related.
Abstracts focused on the following topics will receive preference:
- Use Cases Demonstrating Data Interoperability, Technology, AI, Cybersecurity
- Frameworks Redefining Traditional Medical Practice and Clinical Decision Making
- Virtual Nursing and Skilled Nursing
- Patient
centered care
- Remote Patient Monitoring
- Supply chain, Counterfeits, Track & Trace
- Hospital at Home and Chronic Condition Management
- Managing Risk
- Reimbursement Issues, Policy, and Regulation
- Clinician Engagement
- Platform Technologies, Interoperability, and Data Security
- Generative AI, Translational AI, Explainable AI, LLMs, Conversational Interfaces, Frameworks, and
Roadmaps
- AI Intelligent Exam Protocol, Diagnosis Efficiency Improvement & Workflow Enhancement
- AI Standards and Methods for Data Curation, Distribution, Sharing, and Management
- Adoption and Buy-In of Medical Community and Health Consumer
- Uses Cases for Web3 Technologies: Real-Time 3D (RT3D), AR, VR, and MR
- Information Governance, Data Protection, Global Policy and Ethical Considerations
- Secure Wearable Devices and Management of Data Across Systems
- AI Solutions Reducing Administrative Burden and Burnout for Healthcare Workers
- Circular economies
Note: The submission of an abstract constitutes a formal commitment by the submitting (presenting) author to present (if accepted) at the event and the time the Scientific Committee assigns.
Registration fees will be reduced by 50%.
Your abstract, optional video, and paper, will be published in the THMT ConV2X Proceedings Issue at no
additional cost.
Papers will undergo THMT peer review as per journal policy and procedure. All Scientific Committee members are members of the THMT Editorial board located here.
Should you wish to publish your paper in an earlier issue, please contact the Scientific Committee Chair, Dr. Paul Barach at pbarach@gmail.com.
THE ABSTRACT SHOULD BE STRUCTURED INTO THE FOLLOWING SECTIONS:
A title which clearly indicates the nature of the investigation. It should describe an improvement to healthcare, broadly defined to include the quality, safety, effectiveness, patient-centredness, timeliness, cost, efficiency, and equity of healthcare.
Introduction to include:
Problem description and summary of available knowledge. o Objectives should contain 1-2 sentences that clearly indicate the scientific question and objectives of the study and its clinical (or other) importance.
Methods should contain enough information to be able to
understand the experimental design, the analytical techniques and the statistics used in the study. Ethical considerations should be documented.
Results should contain objective data to answer the scientific question(s). This could include associations between interventions and outcomes, including unintended consequences. A graph could be used here.
Conclusions should provide only conclusion of the study directly supported by the results, along with implications for clinical practice, avoiding speculation and overgeneralization.
References, please note that this field is not mandatory, however it will be included in the characters count.
One table may be inserted. However, it is included in the characters count. Please note that tables may significantly reduce the number of available characters.
One image or graphic may be inserted as image file with the following criteria: Minimum image resolution: 96 dpi o Minimum image width: 50 pxo Allowed file types: .gif, .jpg,
.png
Conflict of interest: It is the intent of THMT to provide high-quality sessions focused on educational content that is free from commercial influence or bias. Thus, the submitting author of an abstract is requested to declare any potential conflicts of interest for all authors during abstract submission.
Abbreviations should be defined.
PROBLEMS SUBMITTING?
If you experience any kind of problem or if you have questions, please do not hesitate to contact info@partnersindigitalhealth.com.
Benefits for Submissions
- Contribute to leadership, innovation, and excellence in field
- Elevate awareness of your scholarly work
- Expand your professional network
- Build meaningful professional connections to accelerate scholarship
Scientific Committee
