Sanaz Cordes, MD
Chief Healthcare Advisor
Healthcare, HealthTech
San Luis Obispo, CA, USA
Dr. Cordes has over 18 years of healthcare and health tech executive leadership with a proven track record of building and scaling healthcare technology companies.
Sanaz Cordes is currently a chief healthcare advisor for World wide Technology, where she helps enterprise healthcare organizations solve complex business problems by optimizing technology and process. Prior, she was a venture advisor and consultant for HealthX Ventures and served as interim CEO of their portfolio company, DotCom Therapy- a teletherapy provider of speech, occupational, and behavioral therapy.
A serial entrepreneur and investor, Dr. Sanaz Cordes was the founder & principal at Value Prop Shop – a consulting firm exclusively working with venture firms and their health tech portfolio companies to strategically grown revenue, fundraise, and achieve market traction with an ROI-driven approach for over 25 healthcare startups around the country.
The Evolution of AI in Healthcare: Navigating the New Normal
On March 8,2024, Dr. Cordes wrote a blog on her website about AI and healthcare. Here is an excerpt:
The integration of Artificial Intelligence (AI) into healthcare has transitioned from an emerging trend to a near-ubiquitous force over the last decade. Adoption of AI in healthcare has shifted significantly, with AI adoption among physicians increasing from 10%-30% pre-pandemic to 40% today. The enthusiasm for AI’s potential to alleviate the burdens of administrative tasks—such as documentation and prior authorizations — is evident, with half of the physicians surveyed expressing a keen interest in these use cases. More than 70% of physicians believe AI has the power to enhance diagnostic ability.
The demand
There is a growing number of clinical and operational use cases driving rapid expansion of AI in healthcare. For administrators, connecting disjointed revenue cycle datasets to generate accurate outputs is crucial to the financial health of organizations still recovering from the pandemic. For clinicians, the use of AI to automate routine tasks and expand capabilities allows them to work top of license – improving their experience while driving efficiency in a market fraught with labor shortages. Additionally shifting to a proactive model of care presents opportunities for AI to assist in early detection and prediction of diseases. For patients, creating a more frictionless care experience requires AI to leverage the vast amount of data across multiple venues of care and deliver the information and outcomes patients need, whenever and wherever they need it.
