[PPT] - Intelligent Consumer-Centric Electronic Medical Record Gang Luo PowerPoint Presentation

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International Conference of the European Federation for Medical Informatics August 30 – September 2, 2009 Sarajevo, Bosnia & Herzegovina

Intelligent Consumer-Centric Electronic Medical Record

Gang Luo Selena B. Thomas Chunqiang Tang IBM T.J. Watson Research Center {luog, selenat, ctang}@us.ibm.com

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Consumer-Centric Medical Search

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Consumer-Centric Medical Search

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Consumer-Centric Medical Search

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Consumer-Centric Medical Search

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Consumer-Centric Electronic Medical Record

! In 2004, US President Bush announced plans for most

Americans to have electronic medical records by 2014

! Google, Microsoft, and Revolution Health launched their

Web-based electronic medical record services for

rdinary consumers
! Regarded as one of the most effective methods of

addressing the incoming healthcare crisis

! Existing ones have little intelligence (e.g., checking drug-

drug interactions) and can fulfill only a small portion of consumers’ needs

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Our Proposal: Intelligent Consumer- Centric Electronic Medical Record

! Add more intelligence into consumer-centric

electronic medical record to make it more powerful and serve consumers better

! Introduce and extend expert system and Web

search technology into the consumer-centric electronic medical record domain

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System Architecture

expert system search system search guide information healthcare information electronic medical record medical knowledge base

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Example Usage

! Based on people’ medical situations and

healthcare needs, automatically recommend

–!Home medical products (focus of this work)

! Bendable utensils for people with arthritis to aid

self-feeding

! Autodrop Eyedropper Aid for people taking eye

drop medication

! Physicians receive little training on such products

in medical school and often cannot help much

–!Retirement place & Residence place

! Old man with gout, family with a deaf child

–!Local preventative health initiatives

! Depend on living place, income level

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Outline

! User interface
! Search techniques
! Some experiments

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Main Web Page

Recommend home medical products

consumer-centric electronic medical record

Function 2 Function 3 …

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Input Interface

! Viral upper respiratory infection G! Pneumonia  Diabetes mellitus

Diseases

◄ ► Previous Next Congestive heart failure high importance



   

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Input Interface – Cont.

! Symptoms

–!List all possible symptoms of selected diseases

! Other information

–!Occupation –!Recent surgeries –!Pregnancy –!Computer usage

! Obtain a list of topics reflecting the consumer’s

medical situation and healthcare needs

–!Diseases, symptoms, and other information

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Output Interface

! Sequential order presentation (default)

–!Home medical products recommended for various topics are mixed together

! Hierarchical presentation (alternative)

topic 1 topic 2 … first level second level product 1 product 2 … product 1 product 2 …

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Outline

! User interface
! Search techniques
! Some experiments

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Step 1: Obtaining Search Guide Information

! Straightforward approach: For each topic, use its name as

a query to retrieve the products for recommendation

–! Frequently improper –! Topics have their underlying medical meanings –! Consumer with symptom “weight loss” would like to gain weight

! Solution: Use medical knowledge to provide semantic

translation from topics to their underlying medical meanings

! For each disease or symptom s, a medical professional

pre-compiles a set of phrases as search guide information

–! Each phrase provides one common way of representing the medical meaning of treating s

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Step 2: Finding Relevant Home Medical Products

! Use a vertical search engine that crawls Web

pages from a few selected, high-quality home medical product shopping Web sites

! For each topic, perform search using its search

guide information Sg

–!Use each phrase in Sg to retrieve some relevant products –!Combine together the retrieved products for all the phrases in Sg

! Combine together the retrieved products for all

the topics

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Step 3: Ranking Home Medical Products

! Traditional ranking methods are used for a single

query and unsuitable for our purpose

–!Home medical product Web page are retrieved by different phrases in various topics’ search guide information –!The number of contained terms can vary significantly from one phrase to another –!Traditionally computed relevance scores are the product of multiple numbers and on different orders of magnitude for various phrases

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Our Solution: Extended Language Modeling Method

! Consider the special properties of our application

scenario and fold all the relevant factors into a single big formula

–!Use summation form by treating all the topics as a conceptual disjunctive query –!Treat each topic rather than each term as a semantic unit –!Each topic is represented by the phrases in its search guide information –!Larger weights are given to more important topics –!Equally important topics are treated equally –!Count topics (phrases) rather than terms

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Step 4: Diversifying Search Results

! Users prefer that the returned first few Web

pages mention various topics and provide much new information

! Penalize Web pages whose contents are similar

to those of previously returned Web pages

! Penalize Web pages mentioning the same topics

as previously returned Web pages

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Outline

! User interface
! Search techniques
! Some experiments

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Medical Scenario

! Weight loss
! Hand weakness

The patient is a 61 years old male complaining of fatigue and

weakness. The patient notes that the fatigue and weakness

started 6 months ago. He feels tired all day. He has poor appetite and lost 8 pounds in the last 6 months. He also complains of occasional nausea and of a vague, deep epigastric discomfort that radiates to the back. He feels sad sometimes, has lost interest in things that he used to enjoy ...

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Some Returned Relevant Web Pages

rank purpose product name 1 weight gain Vitol Incredible Quick Weight Gain 2 weight gain Genesis Nutrition Weight Gain Vanilla 3 weak hand Boxtopper with Built- Up Handle 5 weak hand T-Bar Cockup

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Conclusions

! Intelligent consumer-centric electronic

medical record

–!Use medical knowledge to help consumers

btain personalized, relevant healthcare

information to facilitate their daily lives –!Require no special user training –!Form queries automatically –!Provide diversified search results –!Effective and efficient at recommending home medical products