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The ACTONNECT Team
The team is under the leadership of Dr. Simon Lin, Director of the Biomedical 
Informatics Research Center at Marshfield Clinic Research Foundation. With more than 
40 full time employees, the Biomedical Informatics Research Center (BIRC) at the 
Marshfield Clinic Research Foundation is home to one of the largest clinical based 
informatics research centers in the United States. 
Dr. Lin has engaged the help of four other  internationally recognized institutes in patient care and 
research: Dr. Christopher Yang from Drexel University,  Dr. Eneida A. Mendonça and Dr. Umberto 
Tachinardi from University of Wisconsin – Madison, Dr. Andrew Su and Dr. Chunlei Wu from Scripps 
Research Institute, and Dr. Tian Xia from Huazhong University of Science & Technology. These 
professionals have been assembled to implement an informatics platform to act together and connect 
for patient‐centered outcome research. A platform we call  ACTONNECT. 
Dr. Simon Lin
Dr. Christopher Yang  Dr.  Eneida Mendonça Dr. Umberto Tachinardi Dr. Andrew Sue                                            Dr. Chunlei Wu                                                                                  Dr. Tian Xia
Why it Works
ACTONNECT is a common “playground” for both 
patients and researchers. ACTONNECT users will 
be able to view the searches of other patients, 
caregivers, physicians and researchers. 
To develop a foundation for the search, the team 
will sample the voice of patients from social 
media websites like the patient forums at 
MedHelp and WebMD, and then index them into 
a database as well as a metasearch engine called 
MipiDAT‐ the Marshfield Index of Drugs And 
Treatments.
How can I make 
informed decisions
on various medications
and treatments?
What is the 
experience of other
patients?
What is the patient's perspective?
Where is the need of CER?
What is the most common 
misinformation?
Patients will be able to search MipiDAT and find out 
the experience of other patients on various drug 
and treatment options. Researchers can also search 
MipiDAT to verify the patient’s concerns. After 
searching MipiDAT, both patients and researchers 
are able to create an info graph called 
ACTONNECTION. The info graph is used as an 
intuitive way to present the result results. 
ACTONNECTIONs in themselves will show patients 
how many other people have searched for a 
particular disease or medication. For example, a 
researcher is interested in how many people have 
ADHD and are depressed. The information 
produced by the ACTONNECTION that was created 
shows,  have been 3,206 people that posted on 
social media about Adderall, and 165 of those 
people also posted about Effexor. ACTONNECTION
ACTONNECT Matchmaking 
Engaged by Willingness
• Shared vision
• Find each other at 
conferences or online
• Join the same campaign
Engaged by Actions
• Shared activities
• Utilize the platform to 
derive research questions
• Stronger commitment
Engaged by Partnership
• Shared investigation
• Partnership in actions
• 1 + 1 > 2
ACTACTONNECT is based on the grounded theory of action‐based matchmaking and engagement 
(Sawhney, Verona et al. 2005; Gasson and Waters 2011). There are three levels of engagements in 
the matchmaking process.
1. The initial willingness from both parties, one who is looking to be connected with the 
other to develop rigorous research studies.
2. The two groups are engaged by actions, physically sharing in the activities of creating 
research studies, protocol and publishing's. 
3. The Engaged partnership, which is literally the 1 +1 >2 partnership.
ACTONNECT allows the matchmaking at the highest level by allowing patients and researchers who 
share a common ground. This common ground is found through an investigation and the creation of 
an ACTONNECTION info graph. With the action–based matchmaking, the partnership between 
patients and researchers can be more sustainable. 
See more in the following YouTube video. http://youtu.be/1ZSdK6rfwKc
ACTONNECT’s  Technical Advantages
The Marshfield Index of Patient Interests in Drugs and 
Treatments, or MipiDAT, is a search engine used for searching 
the voice of patients. As of now, Google cannot effectively 
search active discussions by patients which are found in 
different forums like health webpages, Twitter, and Facebook. 
Nor can other search engines visually present the results using 
an info graph. 
Patient postings often contain misspelling or the use of 
alternative names for drugs. With Natural Language Processing 
and ontology annotation, ACTONNECT is able to map these 
differences. This advanced technology is used in the MipiDAT
search engine making it more effective and intellectually 
advanced. 
Effexor is most effective
for my depression and ADD.
Zoloft is most effective
for my obsessive thinking,
but also makes me very
tired. Can I take both at
the same time? ( Currectly
take Effexor XR 150mg..
Used to take Zoloft 100mg.
daily.) If not, is there
a different med that can
be taken with the Effexor
to help control the
obsessing?
Social Media postings indexed by MipiDAT
A Glance at the ACTONNECT Webpage
Search Search MipiDAT
Conditions My ACTONNECT Current Research Research Professionals
You are logged in using LinkedIn
Log out to Remain Anonymous
Act Together and Connect for Patient-Centered Outcome Research
ACTONNECT
ACTONNECTION you published: July 7, 2013
Zoloft or Effexor? 
I found the side effects of Zoloft include weight gain, trouble having 
orgasms and constipation. What is the most recent evidence base of 
comparative effectiveness?   
15 similar Actonnections by 12 people
8 comments from 6 people
People viewed your 
ACTONNECTION 
Research related to your 
ACTONNECTION 
Top matches based on your 
published  ACTONNECTIONS

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