Personalized medicine will become routine, though at a cost.
Diagnosis, treatment and lifestyle interventions will be increasingly personalized to individual patient genetics, family history and other factors.
Technologies are making it easier for healthcare professionals to track patient health information and provide personalized care.
Big data will revolutionize healthcare, with large-scale data and data processors set to become a core part of healthcare quality improvement and decision making.
What It Means for HIV
Because of stigma attached to an HIV diagnosis, it may be challenging to get people with HIV to share personal data, which will limit the opportunity for all people with HIV to benefit from advances in personalized medicine.
The HIV: The Long View Coalition envisions that personalized medicine will…
Have a large impact on HIV treatment selection and management and the prevention of chronic conditions in people with HIV.
Be supported by health information technology that allows for real-time, secure data sharing and analysis to make medical decision making faster, more precise and in alignment with treatment guidelines.
Real-time data collection and sharing make it possible to analyze millions of patient records to find common patterns and genetic traits that can be used to help choose the best medical options for an individual who matches them. This technology is already being used today, with the potential for wide-scale implementation in the next 20 years.
The American public seems to understand that personalized medicine is beneficial for them and that sharing medical data is important. More than half agree to statements that personalized medicine will increase accuracy of testing, improve treatment effectiveness and help identify certain disease risk factors. While 54 percent would be comfortable anonymously sharing their health data, many still have concerns.
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