Patient analysis
Patients are always the ultimate end users of healthcare systems. All the other solutions in this article are focused on providing improved patient outcomes.
Patients are always the ultimate end users of healthcare systems. All the other solutions in this article are focused on providing improved patient outcomes. Nevertheless, there are also solutions aimed at direct access to patients without the payer, health care provider, or life sciences company acting as an intermediary.
Patients are always the ultimate end users of healthcare systems. All the other solutions in this article focus on providing somehow-improved patient outcomes. Nevertheless, there are also solutions aimed at providing direct access to the patient without the payer, health care provider, or life sciences company acting as an intermediary.
Health and Wellness:
* Self-diagnosis tool uses machine learning to harness the best medical knowledge from doctors around the world. Many diagnostic tools are designed to assist physicians, but there are also direct patient solutions that allow physicians to check symptoms online and have an independent perspective before they are seen. (Example: WebMD Symptom Checker)
* Health Prediction and Tracking tools allow patients to track their fitness activity, heart rate, and sleep cycle. Today, wearables allow many individuals to motivate their exercise and better understand their health. These devices generate vast amounts of data, which analytics companies use to provide personalized health recommendations. (Example: Fitbit, Apple Watch, Glooko)
* Omics analysis is based on the currently widely available tests that allow patients to sequence the genome (or proteome, or metabolome). This information can be used to provide a descriptive analysis of genetic health risks or other personalized health guidance. Over time, omics can become part of the basic standard of care, but today many patients pay for these tests and the applications themselves. (Example: Ancestry, 23andMe, Helix)