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-Describe the paradigm shift in healthcare related to technology
-Elaborate how technology can improve health outcomes in your population
Chosen Evidence-Based Technology Use in Disease or Risk Factor
-Describe and summarize the evidence-based technology identified that has been shown to improve the condition or Risk Factor for your patient population chosen.
-Compare and contrast the positives and negatives of using this technology use chosen.
The paradigm shift in healthcare driven by technology represents a fundamental movement away from a purely reactive, disease-centric model to one that is proactive, preventative, and patient-centric.
The traditional paradigm relied heavily on the individual, highly trained clinician to collect, process, and act on information, often resulting in fragmented, expensive, and reactive care delivered primarily within the hospital setting.
The new technological paradigm is characterized by:
Shift from Curative to Preventative Care: Technology, particularly Artificial Intelligence (AI) and genomic analysis, allows for presymptomatic diagnosis and early risk detection, transforming care from treating established disease to preventing it.
Empowerment and Engagement: The patient is no longer a passive recipient of care but an active participant. Tools like patient portals, wearables, and mobile apps enable self-management and shared decision-making.
Data-Driven Decisions: The shift from paper records to Electronic Health Records (EHRs) and Big Data analytics enables clinicians to access comprehensive, real-time patient information, use Clinical Decision Support (CDS) systems, and apply evidence-based guidelines consistently across entire populations.
Care Beyond the Hospital: Telehealth, remote patient monitoring (RPM), and mobile health (mHealth) extend the reach of care into the home and community, improving access for underserved and rural populations and reducing the pressure on acute care facilities.
Technology can dramatically improve health outcomes across various patient populations by enhancing the three A's: Accuracy, Access, and Adherence.
| Area of Improvement | How Technology Enables It |
|---|---|
| Diagnostics & Treatment | AI-assisted imaging and machine learning algorithms improve the accuracy and speed of diagnoses (e.g., detecting subtle patterns in scans). Genomic medicine allows for personalized treatment plans tailored to an individual's genetic makeup, leading to better efficacy and fewer adverse drug reactions. |
| Chronic Disease Management | Remote Patient Monitoring (RPM) uses wearable devices (smartwatches, connected glucose meters, etc.) to stream real-time physiological data to the care team. This allows for proactive intervention (e.g., catching worsening heart failure symptoms early) and increases patient adherence to treatment plans. |
| Access to Care (Telehealth) | Telemedicine connects patients in rural areas, those with mobility issues, or those facing transportation barriers with specialists. This improves access to timely follow-up care, reducing unnecessary emergency room visits and hospital readmissions. |
| Patient Safety & Efficiency | EHRs with Clinical Decision Support (CDS) automatically alert nurses and doctors to potential drug-drug interactions, patient allergies, or high-risk lab values, drastically reducing medical errors and improving the accuracy of medication administration. |