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Healthcare technology isn't just about cool gadgets—it's fundamentally reshaping how we think about access, precision, prevention, and patient autonomy in medicine. When you're tested on contemporary health issues, you need to understand how these technologies address systemic problems like healthcare disparities, chronic disease management, and the rising costs of care. Each innovation connects to broader themes: Does it democratize access? Does it shift care from reactive to preventive? Does it empower patients or create new ethical dilemmas?
Don't just memorize what each technology does—know why it matters for population health and what trade-offs it introduces. You're being tested on your ability to analyze how innovation intersects with equity, ethics, and effectiveness. When you see an FRQ about healthcare access or personalized medicine, these technologies are your concrete examples.
These technologies tackle one of healthcare's most persistent problems: getting care to people who need it, regardless of geography, mobility, or resources. The underlying principle is decentralization—moving care from centralized facilities to wherever patients are.
Compare: Telemedicine vs. Wearables—both expand care beyond clinical settings, but telemedicine maintains the provider-patient interaction while wearables shift monitoring responsibility to patients themselves. If an FRQ asks about patient autonomy in healthcare, wearables are your strongest example.
These technologies move medicine away from one-size-fits-all approaches toward treatments tailored to individual biology. The mechanism here is data granularity—the more we know about a specific patient's genetics, anatomy, or disease profile, the more precisely we can intervene.
Compare: Genomics vs. CRISPR—genomics identifies genetic factors while CRISPR modifies them. Genomics informs treatment selection; CRISPR potentially eliminates the underlying cause. Both raise privacy and equity concerns, but CRISPR's permanence creates unique ethical stakes.
These technologies augment what healthcare providers can do, extending human capabilities through computational power, mechanical precision, and novel manufacturing. The principle is augmentation—not replacing clinicians but expanding what's possible.
Compare: AI diagnostics vs. Robotic surgery—both augment clinical capabilities, but AI operates in the cognitive domain (analysis, prediction) while robotics operates in the physical domain (manipulation, precision). AI scales easily across settings; robotic surgery requires significant capital investment.
These technologies transform how providers learn and how patients understand their conditions. The mechanism is immersive visualization—making abstract medical concepts tangible and experiential.
As healthcare becomes increasingly digital, protecting sensitive information and ensuring system reliability becomes critical. The principle is trust infrastructure—technologies that make digital health systems secure enough to function.
Compare: Wearables vs. Blockchain—both involve patient data, but wearables generate data while blockchain secures it. Wearables raise privacy concerns that blockchain-based systems could potentially address through patient-controlled access permissions.
| Concept | Best Examples |
|---|---|
| Expanding healthcare access | Telemedicine, Wearables, Remote monitoring |
| Personalized/precision medicine | Genomics, CRISPR, Nanotechnology |
| Augmenting clinical capabilities | AI diagnostics, Robotic surgery, 3D printing |
| Preventive vs. reactive care | Wearables, Genomics, AI predictive analytics |
| Patient empowerment/autonomy | Wearables, VR patient education, Telemedicine |
| Ethical considerations | CRISPR (germline editing), AI (bias), Genomics (privacy) |
| Data security and interoperability | Blockchain, Electronic health record integration |
| Reducing healthcare costs | Telemedicine, AI administration, Remote monitoring |
Which two technologies most directly address healthcare access disparities in rural communities, and what limitation do they share?
Compare genomics and CRISPR: How do their roles in personalized medicine differ, and why does CRISPR raise more significant ethical concerns?
If an FRQ asked you to discuss how technology shifts healthcare from reactive to preventive, which three technologies would you choose and why?
Both AI and robotic surgery augment clinical capabilities—what distinguishes the type of augmentation each provides, and what equity concerns does each raise?
A patient wants to take a more active role in managing their chronic condition. Which technologies would support this goal, and how do they balance patient autonomy with clinical oversight?