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Continue LogoutHospitals and health systems need to prepare for a new wave of clinical innovation, especially as leaders read about the promise of patient-generated data, artificial intelligence, and precision medicine in clinical literature and the popular press alike. But which emerging innovations have the potential to truly transform health care delivery—and fundamentally disrupt hospitals’ business?
This research report explores the clinical technology pipeline to help health care leaders become more conversant in the major vectors of innovation, leading applications of new technologies, and the business implications for established providers. Read on to unpack the new innovation agenda.
Detecting new indicators of disease
Tomorrow’s diagnostic innovations will more proactively identify health risks, accurately diagnosis conditions, and manage and prevent escalations of diagnosed diseases.
1. Polygenic Risk Profiles and Molecular Diagnostics (p. 10)
2. Real-Time Patient Data from “Internet of Things” (p. 14)
Powering evidence-based decisions
A tidal wave of diagnostic, patient-generated, and academic data is just beginning—and overwhelming health care providers. Developments in artificial intelligence (AI)-based decision making capabilities will allow health systems to drastically improve efficiency in this terrain, raising clinician productivity, boosting staff to top of license, and better tailoring care to individual patients.
3. AI-Guided Decision Support Platforms (p. 16)
4. Next-Generation Natural Language Processing (p. 18)
Delivering precise clinical care
Tomorrow’s treatments offer increasing precision and customization, ideally with less toxicity and fewer side effects. Armed with a wide array of related technologies, providers could address today’s unmet demands, such as potentially overcoming organ supply shortfalls and treating chronic conditions that are merely manageable today.
5. Molecular and Gene-Targeted Treatments (p. 20)
6. Engineered Organ Replacements (p. 26)
7. 3D Printer-Enabled Surgeries (p. 28)
8. Bioelectronic Device Implants (p. 30)
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