What health technology has the leaders most energized right now?

From the monitoring of real -time data to the aspects of existing patients, health experts see a future where technology can both improve results and reduce costs – but certain challenges remain.

During a session last week at the 2030 Healthcare Summit of Digital Medicine Society in Washington, DC, a panel of four health care experts shared the technologies that excite them the most, as well as what gives them a break.

Continuous data monitoring, unexplored territory

Amy Abernethy, co -founder of Highlander Health, underlined the upcoming innovations as implantable chips with a high battery life which can continually follow more than 130 metabolites in real time – tools which it has described as similar to continuous but more advanced glucose monitors. She said that she sees a future full of continuous longitudinal data flow potential combined with other sensor entries.

Abernethy has also warned that health care is not yet ready to interpret this flow of data, noting that current evidence frames are obsolete – leaving uncertain clinicians on how to act on these new measures.

Transform existing health data into value

Matthew Christiansen, vice-president of health affairs and chief doctor of Valley Health System, is enthusiastic about AI tools that make clinical work more efficient by finally using the massive quantities of health data already collected.

“I think of our EMRs, which slows us down and cost us a lot of money. They are very ineffective. These are the most expensive buttons of the whole office, and we do nothing with all this data. We should use AI to help us understand what we already have-and understand what we have, “he said.

Christiansen thinks that AI can help report important information, such as missing screening registers, as well as reducing the administrative load of clinicians.

Reduce costs with smarter technology

Lisa Bari, head of external policies and affairs at Innovaccer, said that she hoped for the tools that help connect data and make them more usable at the care point.

She warned against the adoption of new tools that add costs without improving the results. For her, priority should be technologies that can reduce underlying costs of care.

“At this stage, health care is so expensive that when we simply add technology as something brilliant and again, we may further increase the cost of care.

Where clothes meet ai

Annie Tilton, director of research on clinical results in Oura, looks at the convergence of portable devices and AI.

She pointed out that portable devices can move health care from reactive treatment for preventive care, and they engage patients outside the clinic.

“On the AI ​​side, we go from predictive models to multimodal agent systems that can support patients and providers between visits, providing more information to make care -based decisions and create a more continuous system, as well as to provide more personalized drugs while maintaining confidentiality,” said Tilton.

She also noted that there is a “clear consensus” that AI tools can only have an impact on health care if they are accessible, reliable and practical.