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The Beginner’s Guide to Mobile Healthcare Applications

Viseven

Apart from high-quality care, personalization, and transparency, patients are eager to have more control over their time and day-to-day health activities with easy access to accurate medical information. Medical calculators. For Medical Salesforce. Informational materials. Medical Education. Data Harvesting.

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Hospital pharmacist-led re-evaluation of medication errors: a pilot study

Hospital Pharmacy Europe

The incidence of medication errors varies greatly among published studies, not only due to the lack of a clear definition, 1,2 but also because of different factors such as the healthcare setting, differing levels of automation (e.g. 3–5 Medication errors are often documented in national or local electronic incident reporting systems.

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Health Data Management: Everything You Need to Know

Viseven

Typically, data falls into two main categories: Traditional data includes information gathered through research, healthcare providers (HCPs), healthcare organizations, and public health agencies. For instance, health data might include information about an individual’s education, wearable sensor readings, or lifestyle habits.

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Connecting with Patients at Home

Pharmacy Is Right For Me

Another unique aspect of this model is that all interprofessional team members can access and document within a universal electronic medical record (EPIC). This empowers care providers with critical patient information. It involves the training of community paramedics in performing some aspects of medication reconciliation.

Hospitals 130
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Personalized Medicine Requires a New Approach to Quality Control

Impact Pharmaceutical Services

It determines the most appropriate medications or therapies and administers them. It guarantees delivery of the right drug and the right dosage at precisely the right time , tailored specifically for that person.

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Pharmacogenetics: What pharmacists need to know

Hospital Pharmacy Europe

Many patients will not experience a therapeutic effect at standard dosages, whereas others might be more susceptible to adverse effects or toxicity. The raw assay result is translated and reported in a clinically relevant format; in this case, as a metaboliser phenotype, which is then used to inform a prescribing decision.

Hospitals 111
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How using AI in clinical trials accelerates drug development

Pharmaceutical Technology

AI-based analysis can provide insight into participant behavior that informs how researchers design trials. AI can analyze this data in real time, allowing researchers to quickly identify trends and make informed decisions about how to proceed with trials. With the help of AI, personalized medicine can become a reality.‌