ConV2X Blockchain in Healthcare 2022, Austin, TX Registration Open!

Date: Thursday, September 15, 2022
Time: 8 AM — 5 PM CST
Place: Austin Central Library
Location: Austin, TX, USA

It’s time to register and save your seat at the leading blockchain in healthcare event in the USA. This year, we are pleased to announce a live and in person conference in Austin, TX, where tech, research, entrepreneurs and innovations collide!

Join the acclaimed blockchain in healthcare symposium catalyzing C-suite global market executives driving the transformation of healthcare with blockchain and edge technologies. This is where healthcare leadership & breakthrough technology providers converge to inspire and guide informed decision making to successfully navigate a new digital health era through real world evidence.

If you are a BHTY journal subscriber, book now for lowest priced tickets!

The audience includes:

The full day event will present keynotes, panel discussions, and unparalleled business and research network opportunities.

Topics will include:

• Drug Development and Clinical Trials Management

• Data Management, Access, Control and Consent Management

• Drug Supply Chain & Anti-Counterfeiting

• Insurances: Claims Management, Fraud Reduction & Administrative Processes

• New Business Models: Consumer Health Engagement, DeSci, and the Role of Tokenization, NFTs and DAOs

• Web3 and Metaverse

• Use of Data and AI on blockchain networks

• Regulation, Policy & Standards

• Global Technical, Cultural and Business Challenges

Join colleagues and potential partners today to expand business networks, meet pioneers, researchers and health executives to fortify new partnerships — just as attendees in past have realized — and wait until we unveil 2022 speakers!

Platinum Sponsor

A few of last year’s presentations:

Blockchain in Healthcare Today (BHTY) is the leading peer reviewed open access journal that amplifies and disseminates distributed ledger technology research and innovations in the healthcare information systems, clinical computing, network technologies and biomedical sciences. Fields of interest include utility for data integrity, privacy preservation, health information systems interoperability, permissioned security for health data, clinical support and clinical trials management, supply chain management, revenue cycle automation, cost and impact, and the integration of AI and machine learning tools in this emerging specialty field of research.