InHealth is how we practice precision medicine at Johns Hopkins Medicine. Precision medicine uses the latest technology to measure disease characteristics so we can identify patterns in groups of patients. We can then develop tailored treatment plans for individuals. We can also use this information to create proactive treatment plans, getting ahead of health problems before they occur.
How We Practice Precision Medicine
We’re researching the causes of disease through patient subgroups formed after measuring clinically important differences among patients who have the same disease. This data helps answer these questions:
- How does the disease progress over time for similar patients?
- Do patients develop complications?
- Do they respond to specific therapies?
This information is placed on our inHealth computing platform, the Precision Medicine Analytics Platform (PMAP). Answers to questions such as these can be used to estimate and balance the likely benefits and risks of treatments given a patient’s preferences and tolerances.
“In addition to saving unnecessary expense treating people who will not respond, as part of Johns Hopkins inHealth, we are further studying what nonresponders will teach us about their disease so we can develop additional treatments that might work for more people,”
-Antony Rosen, vice dean for research
InHealth in Action: Multiple Sclerosis
Johns Hopkins neurologist Ellen Mowry is using data to figure out what therapies will work best for different groups of patients with multiple sclerosis. It’s a daunting task: The neurological disease not only varies greatly in how quickly it progresses but also in how much it debilitates patients.
Another aspect of Mowry’s research is establishing when a drug’s potential for healing outweighs the risk of harm.
After identifying patient subgroups based on projected disease progression and other characteristics, Mowry hopes to determine which patients are at risk for long-term side effects from particular medications.