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My Health Informatics Journey Ben Jelen

Indiana University

PhD Student in Proactive Health Informatics

Pr Health

Outline

• My Background

• Problem Solving

• Health Informatics

MY BACKGROUND

• Grew up in Cincinnati

• Reluctant Bengals Fan

• Ohio State Engineering

– Biomedical Engineering

– Entrepreneurship Minor

• Epic Systems

– Electronic Health Record Company

– Focus primarily on large health systems

– ASAP TS (Emergency Department Software)

• Indiana University

– PhD Student in Health Informatics

– 4th Year

– Using my skills to solve health problems using technology

Pr Health

PROBLEM SOLVING

Problem Solving

• Applicable to life in general

• Everyday problems

– Dinner

– Traffic Detours

– Losing your phone

• Millions of solutions

My Problem Solving Steps

1. Define the problem

2. Gather information

3. Come up with solutions

4. Pick one  Justify your choice!

5. Try it out

Let’s try it out

• Dementia/Alzheimer’s

– Cognitive impairments

• What do I know?

– Most of my grandparents have had it

– There’s lots of work on it

– Heard you need to keep your mind active

1. Define the Problem

• What do you know about dementia?

• What are some of the struggles people face?

• How do you define dementia?

Narrowing Our Definition

• Possible routes to take

– Caring for them after they have it?

– Caregivers?

– How can we prevent it? Pr Health

2. Gather Information

• How do you define dementia?

• Who is actually impacted?

• What is known to be important to prevent the dementia?

Not Just Alzheimer’s

http://www.greenlineseniorcare.com/different-types-of-dementia

Impacts Many People

Markson, E. W., & Stein, P. J. (2012). Social Gerontology: Issues & Prospects. San Diego, CA: Bridgepoint Education.

Differences in Minorities

https://www.npr.org/sections/health-shots/2019/01/07/682036486/study- suggests-alzheimer-s-disease-may-work-differently-in-african-americans

Suggestions for Prevention from www.alz.org

• Head to Heart Connection

• Physical Exercise and Diet

• Social Connections and Intellectual Activity

• Head Trauma

http://www.alz.org/research/science/alzheimers_prevention_and_risk.asp

3. Come up with solutions

• How can we help prevent dementia in people?

• What technology could help us?

My Research – What I saw

• Technology like Arduino and conductive thread increasingly easy to use

• Many OAs already creating with fabric, wood, clay, etc.

• Long term engagement with new devices is a problem

Making their own devices!

In the News

https://nursing.nyu.edu/news/smart-dresser-prototype-guides-people-dementia-getting-dressed https://www.ncl.ac.uk/press/articles/latest/2018/05/body-wornsensors/

4. Pick one  Justify it

• Millions of options

• Why pick that solution?

My Research

• Others have had success with children

• If any group would want to create, it’ll be OAs who are already creating

• Engagement  “IKEA” Effect

Ananthanarayan, S., Siek, K., & Eisenberg, M. (2016). A Craft Approach to Health Awareness in Children. DIS ’16 Ananthanarayan, S., Siek, K., & Eisenberg, M. (2014). Towards the crafting of personal health technologies. DIS ‘14 Norooz, L. & Froehlich, J. (2013). Exploring early designs for teaching anatomy and physiology to children using wearable e-textiles. IDC ‘13

5. Try it out

HEALTH INFORMATICS

In the News

https://www.npr.org/sections/thesalt/2018/03/05/589286575/this-chef-lost-50-pounds-and-reversed-pre-diabetes-with-a-digital-program https://www.npr.org/sections/health-shots/2018/03/05/588914818/personal-tech-devices-are-still-learning-how-to-improve-health

Health Informatics

Clinical Informatics

Electronic Health Records

• Increased efficiency

– Within an institution

– Between facilities

• Better care

– For individuals

– For populations

Slide adapted from Kay Connelly

Personal Health Records

• Patient control

– Review EHR info

– Upload own info

• Issues

– Usability

– Trustworthiness of data

– Security

Slide adapted from Kay Connelly

Health Informatics

Decision Support

Clinical Informatics

Clinical Decision Support

health observations + health knowledge =

health recommendations

Health Informatics

Decision Support

Health Records

Personal Data Sources

Clinical Data Sources

Slide adapted from Kay Connelly

• Medical

– Blood tests

– Heart monitoring

– Biomedical imaging (MRI, X-ray, CAT scan)

– Physician notes

– Lab Tests

Biological Data Sources

• Medical

• Biology

– The Genome

Slide adapted from Kay Connelly

Environmental Data Sources

• Medical

• Biology

• Environment

– Heavy metals (e.g., in fish)

– PCBs

– Pesticides

– Mold

Slide adapted from Kay Connelly

Personal Data Sources

www.fitbit.com http://googleblog.blogspot.com/2014/01/introducing-our-smart-contact-lens.html https://www.sleepnumber.com/360-bed-ces-2018#

• Medical

• Biology

• Environment

• Continuous Monitoring

– Exercise

– Heart rate, glucose, etc.

– Sleep

Health Informatics

Decision Support

Clinical Informatics

Personal Data Sources

Personalized Medicine

https://www.youtube.com/watch?v=I2l3e1oNwUU&feature=youtube_gdata_player

http://www.youtube.com/watch?v=jt8JqVdaTqI&feature=related

How can I get the skills to contribute to health informatics?

Informatics Areas

• Bio & Chem Informatics

– Molecules/proteins

– Genes

– Pharmaceuticals

– Data Science

Dr. Yuzhen Ye

Informatics Areas

• Bio & Chem Informatics

• Security and Privacy

D. Halperin, T.S. Heydt-Benjamin, B. Ransford, S.S. Clark, B. Defend, W. Morgan, K. Fu, T. Kohno, and W.H. Maisel.. (2008) Pacemakers and implantable cardiac defibrillators: Software radio attacks and zero-power defenses. In IEEE Symposium on Security and Privacy

http://blog.ucsusa.org/for-sara-faulty-medical-device-leads-to-unnecessary-invasive-surgery/chest-xray

Dr. Hill

Informatics Areas

• Bio & Chem Informatics

• Security and Privacy

• Pervasive and Mobile Computing

Dr. Siek Dr. Connelly

SICE Faculty working in Health Informatics

• Katie Siek ([email protected]) – Projects: Maker Electronics for

Older Adults, Women’s Health • Expertise: Making, pervasive health,

human computer interaction, Personal Health Records, women’s health

• Kay Connelly ([email protected]) – Projects: Precision Health, Aging in