Telehealth and Medicine Today (THMT) has announced the publication of its annual “Predictions” article – featuring thought leaders examining how artificial intelligence, remote patient monitoring, interoperability, and governance will reshape telehealth, hospital at home, and virtual care ecosystems.
The article outlines a fundamental shift away from static, episodic diagnostic thresholds
toward AI enabled, relational, and predictive models of care—a transformation critical to the success of virtual hospitals and acute care at home programs.
The article details how machine learning and multivariate analytics can surface early, pre-clinical signals of deterioration—such as subtle changes in how heart rate, oxygen saturation, blood pressure, mobility, and behavior interact over
time—often hours or days before traditional warning scores are triggered. These insights open the door to earlier intervention, reduced readmissions, and safer, more scalable virtual hospital models.
The feature brings together perspectives from healthcare, technology, life sciences, and public health leaders, including contributors from xCures, Validic, Cognizant, Medisafe, UBS, Equum Medical, Emory University,
and others. Key themes include:
- The rise of the “Golden Record”
- Hyperpersonalization as the new baseline
- Hospital at Home at scale
- Governed AI as a competitive
differentiator
- Global divergence and frugal innovation
- New modalities of care — including wearables, ambient sensing, AI driven triage, and autonomous support systems that make care increasingly compliance independent and seamlessly integrated into daily life.
