About
I help digital health companies to generate evidence, awareness, funding, revenue, and…
Articles by Paul
Activity
-
💪 My first #patientsincluded shoutout at #adpd2025 goes to UCB for an advanced Parkinson’s trial with a “patient council” that co-creates all study…
💪 My first #patientsincluded shoutout at #adpd2025 goes to UCB for an advanced Parkinson’s trial with a “patient council” that co-creates all study…
Shared by Paul Wicks
-
[EDIT: THIS ISN'T REAL, IT'S JUST AN APRIL FOOL'S POST THAT WENT VIRAL. 1. GPT4o MADE STEPHEN MA YOUNGER. 2. HE SHAKES HANDS WITH SATYA NADELLA, WHO…
[EDIT: THIS ISN'T REAL, IT'S JUST AN APRIL FOOL'S POST THAT WENT VIRAL. 1. GPT4o MADE STEPHEN MA YOUNGER. 2. HE SHAKES HANDS WITH SATYA NADELLA, WHO…
Liked by Paul Wicks
Experience
Education
Publications
-
Increasing Patient Involvement in Drug Development
Value In Health
Decision makers all around the healthcare system including research funders, payers, providers, and HTAs are incorporating patient input, but the pharmaceutical industry appears to be lagging behind. Through interviews with patients and industry thought leaders we detail a framework as well as tips for overcoming barriers to enable patient centricity that goes beyond tokenism within the complex regulatory environment of pharma.
Other authorsSee publication -
Exploring Concordance of Patient-Reported Information on PatientsLikeMe and Medical Claims Data at the Patient Level
Journal of Medical Internet Research
"On the internet, nobody knows you're a dog" - This is a joke that I've heard many times before working at an online community generating medical evidence. How do we know they are really patients? How do we know they have been diagnosed correctly? In this study we found 94% concordance between self-reported diagnosis and insurance claims data - so most of them are not dogs. Probably.
Other authorsSee publication -
It’s a long shot, but it just might work! Perspectives on the future of medicine
BMC Medicine
Prediction is hard, particularly of the future, so we enlisted a number of expert perspectives to share their views on where medicine is going. It's a bright, data-driven, and bold future we're heading towards.
Other authorsSee publication -
Patients optimizing epilepsy management via an online community
Neurology
Military veterans living with seizures were recruited via UCSF and the VA to join PatientsLikeMe in order to meet other patients like them, track their seizures and medications, and learn more about their condition. Validated instruments were used to demonstrate statistically significant improvements in self-management and self-efficacy amongst 92 veterans over a 6 week time period.
Other authorsSee publication -
Time to Deliver Patient Centered Care
British Medical Journal
-
Increasing patient participation in drug development
Nature Biotechnology
A call to arms for industry to develop novel ways to listen to patients early on in drug development
Other authorsSee publication -
‘Trust but verify’ – five approaches to ensure safe medical apps
BMC Medicine
"Move fast and break things" works great for the tech sector - but how is it faring in medicine? What if those "things" that got broke were people? In this commentary we review some of the deficits in medical apps available at the time and lay out a framework for improving safety, trust, and patient benefit.
Other authorsSee publication -
How Digital Technology and Patient Empowerment is Influencing the Future Direction of Clinical Trials
Future Sciences Group / Advances in Collating and Using Trial Data
-
Subjects no more: what happens when trial participants realize they hold the power?
British Medical Journal
-
Accelerated clinical discovery using self-reported patient data collected online and a patient-matching algorithm
Nature Biotechnology
After a small Italian study suggested Lithium Carbonate might slow the progression of ALS, hundreds of members of PatientsLikeMe obtained and started taking the drug off-label. We built a data capture system to measure whether or not the drug might be working, or even making patients worse. We used historical control matching to reduce selection biases and found that the drug had no effect, years before this was confirmed by the failure of formal randomized control trials to find an effect.
Other authorsSee publication
Patents
-
Systems and Methods for Collecting and Analyzing Comprehensive Medical Information
Filed US 20200279622 A1
-
Personalized Management And Monitoring Of Medical Conditions
Issued US 2016/0188807 A1
-
Systems And Methods For Encouragement Of Data Submission In Online Communities
Issued US US 8643648 B2
Languages
-
British English
Native or bilingual proficiency
Recommendations received
8 people have recommended Paul
Join now to viewOther similar profiles
Explore collaborative articles
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Explore MoreOthers named Paul Wicks in United Kingdom
38 others named Paul Wicks in United Kingdom are on LinkedIn
See others named Paul Wicks