?? C-Suite's AI Overhaul

Plus: 3 CTMS innovations, Health Data Interoperability and more

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Technology has started making waves in the C-suite and is being the harbinger of change as new tech-focused positions emerge in the field of HealthTech. We’re taking a deep dive into this and more in today’s newsletter.

Here’s what we are covering today:

• 3 Key CTMS Upgrades Transforming Clinical Research
• Rise of Chief AI Officers: C-Suite’s AI Overhaul
• What is Health Data Interoperability and Standards?

ANALYSIS

3 Key CTMS Upgrades Transforming Clinical Research

The CTMS market is expected to grow at a CAGR of 14.55 percent, reaching $2,656.43 million by 2029.

Advanced healthcare technology solutions such as AI and ML, along with industry-academic partnerships are bolstering the need for clinical trial management system innovations in the market.?

This article delves deeper into the 3 key CTMS innovations that are transforming the current research market:

• Artificial intelligence
• Wearables and sensors
• Data management

Read the full feature know how each one of these contribute to CTMS.

TOP STORY

Rise of Chief AI Officers: C-Suite’s AI Overhaul

What is happening: As more healthcare organizations look to increase their implementation of artificial intelligence tools, they are hiring dedicated C-suite leaders to ensure the technology is being integrated into the clinical setting in a safe and ethical manner.?

Case in point: Here are three hospitals and health systems which have recently appointed chief AI officers.

• Mayo Clinic Arizona?named Bhavik Patel, MD, as its new chief AI officer.
• UC Davis Health?named Dennis Chornenky as its first chief artificial intelligence adviser.
• UC San Diego Health?named Karandeep Singh, MD, as its inaugural chief health artificial intelligence officer.?

What does the role entail: While the titles may differ across the health systems, the new C-suite role essentially involves establishing the necessary infrastructure and governance for successful deployment of AI in healthcare.

The chief AI officer allows health systems to have someone who is knowledgeable about the technology and helps create plans for how AI will be used in the system.

This newly created position is coming at a time where healthcare IT executives are predicting that healthcare will see rapid growth of artificial intelligence in the next 12 to 18 months.

DEEP DIVE

What is Health Data Interoperability and Standards?

Health data interoperability relies on standardized frameworks and codes to enable seamless communication among various health information systems. This enhances care delivery, supports medical research, and ensures the privacy and security of patient data.

Health data standards encompass three main categories:

1. Terminology Standards: These employ standardized codes (e.g., ICD-10-CM, CPT, SNOMED CT, LOINC) to ensure consistent communication and interpretation of health data across various systems.
2. Content Standards: Focused on structuring electronic medical documents, standards like C-CDA, HL7 (version 2 and 3), and USCDI ensure organized and clear representation of medical data for efficient capture, storage, and exchange.
3. Data Exchange Standards: Facilitating interoperability, standards such as FHIR dictate formats, document architecture, APIs, and other components for effective information exchange. FHIR, developed by HL7, is widely adopted for its support of modern web-based APIs.

Read more about health data standards and how they can be leveraged to promote interoperability in healthcare here.