Kevin Agatstein, CEO at Kaid Health
In 2023 I predict that unstructured medical data, which makes up the majority of a patient’s chart, will become too valuable to ignore by both providers and payers. Driven in part by the growth of Medicare Advantage and oncology, both of which require the data within medical notes rather than just claims and labs data, organizations will start to use their unstructured EMR data in entirely new ways.
Rob Cohen, CEO at Bamboo Health
In today’s fragmented healthcare ecosystem, aggregating mountains of data is only useful if patient and member information can be used in meaningful ways. In 2023, we should expect to see an increased emphasis on not only improving access to timely and accurate information and analytics, but also on finding innovative ways to make these insights more understandable and relevant. In turn, this will improve how we deliver care and save costs across the healthcare system.
At Bamboo Health, we believe that providing actionable intelligence at the point of care and directly within clinicians’ workflows is key to this initiative. It improves how clinical decisions are made, and cuts down on administrative burdens, allowing providers to focus on their patients. This next step in the interoperability evolution will enable healthcare professionals to view and treat the whole person for the delivery of better care and improved outcomes in alignment with value-based care goals.
Muthu Kuttalingam, SVP of Product Development at 4medica
Healthcare organizations will continue to be deluged by massive volumes of data flooding in from multiple sources, including wearables and at-home clinical devices. AI and machine learning increasingly will help providers and payers understand and map that data next year. We’ll also see a larger role for analytics across multiple user interfaces as clinicians seek actionable data when and where they need it most.
Calum Yacoubian, MD, director, Healthcare Strategy, Linguamatics
The volume of data being produced is at an all-time high. Recent years have seen a proliferation in different types of AI being used in healthcare – mostly confined to the research domain. In 2023, we will see increased migration from AI algorithms developed and published in research to clinical practice and decision support. With the value of AI becoming ever clearer, there has also been a shift in attitude and perception from many clinicians – from fear (will AI make me redundant?) and distrust (the machine can’t get it right every time) to acceptance of AI as an enabler and augmenter of clinicians. I expect 2023 to bring more stories of the successful union of human and artificial intelligence making a difference in clinical practice.
Tim O’Connell, MD, founder and CEO of emtelligent
The healthcare industry produces vast amounts of unstructured data and Natural Language Processes (NLP), a branch of AI, will continue to see increased adoption to empower the industry to better access and utilize this valuable information. Once effectively implemented, NLP will provide deeper insights into the states of health and well-being of patients. This growing technology is currently navigating some challenges, but market forces and new tools are creating the motivation to advance NLP more rapidly. These promising new advances and momentum make it likely that we will see the launch of the golden age of AI in healthcare in 2023.
Josh Rubel, chief commercial officer, MDClone
The evolution of the healthcare industry can be seen in key areas including business model, care delivery, and market positioning. Facing on-going margin pressure in 2023, there will be renewed motivation for the use of healthcare data to identify new revenue streams, optimize clinical capacity and service lines, and find exciting new medical advances. For this to happen, we will see healthcare providers embrace technology that makes data easily accessible and usable for their teams. Healthcare data, and effective use of data, will be the calling card of successful healthcare performance for the future.
