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Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director, Medical Vocabulary/Ontology Services UPMC

Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

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Page 1: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Problems with Current Approaches to Clinical Data

William R. Hogan, MDAssociate Professor of Biomedical Informatics

University of PittsburghDirector, Medical Vocabulary/Ontology Services

UPMC

Page 2: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

UPMC Overview

• Facilities– 20 Hospitals– 400 Ambulatory sites with 2300 physicians– 16 Long-term care facilities– 43 Academic/community cancer centers– International ventures in Italy, Ireland, Britain

• Information technology– 200 clinical applications from 120 vendors– 610 system interfaces– $1B investment over 5 years

Page 3: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

But One Key Element was Missing

• Interoperability– 3 inpatient Electronic Medical Records (EMRs)– 3 outpatient EMRs– Ancillary systems (lab, radiology, registration, etc)– Commercial laboratories (e.g., Quest)

• dbMotion, Inc.– Interoperability solution based on HL7 v3

reference information model– Facilitating data exchange for over 70% of Israel

Page 4: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,
Page 5: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Problem 1: A Finding is Many Things…

• The term “finding” does little to discriminate among:– Entities and their qualities– Surmises, hypotheses, beliefs, degrees of belief, and

statements about entities and their qualities– Observations/methods of finding entities/qualities

• Thus, we get:– Type 2 diabetes mellitus (disorder)– Uncertain viability of pregnancy (finding)– On examination - equivocally anemic (disorder)– Admitted to a children's home (finding)– On examination - dead - unattended death (finding)

Page 6: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Problem 2: …but Not Everything

• Situation: used in SNOMED-CT for conditions/ procedures:– That are absent or have not occurred– Pertain to someone other than subject of medical

record– That occurred or were present in the past

• Findings, by contrast, have a “default context”:– Present – Subject of medical record– Current or some specified time

Page 7: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Thus, we get:

• No family history of cardiovascular accident or stroke (situation)

• Absence of signs and symptoms of physical injury (situation)

• Electrocardiogam improved compared to prior study (situation)

• Pathology examination findings absent (situation)• Past myocardial infarction diagnosed on ECG

AND/OR other special investigation, but currently presenting no symptoms (disorder)

Page 8: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

DOES IT MATTER?

Page 9: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Past history of colon cancer increases one’s risk. Thus,

to determine “average risk”, you need to know if this risk

factor is present.

Page 10: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,
Page 11: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,
Page 12: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,
Page 13: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,
Page 14: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

The following could also be problematic…

• Body mass index 20-24 - normal (finding)• Erythrocyte sedimentation rate (ESR) abnormal (finding)• C-reactive protein abnormal (finding)• Lupus hepatitis (disorder) is a Systemic lupus erythematosus

(disorder)• On examination - equivocally anemic (disorder) is a Anemia

(disorder)• Chronic hypertension complicating AND/OR reason for care

during childbirth is a Pregnancy-induced hypertension

Page 15: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Epistemological Basis of “Finding”

• According to SNOMED-CT User Guide (p. 42):Concepts in [the Clinical Finding] hierarchy represent

the result of a clinical observation, assessment, or judgment, and include both normal and abnormal clinical states.

• SNOMED is not alone:– RadLex: Cardiovascular disease is a Imaging

observation– NCI Thesaurus: Death is a Finding

Page 16: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Proposed Definition

• Clinical Finding =def.• A representation of a bodily feature of a patient that is

recorded by a clinician because the feature is hypothesized to be of clinical significance.Emphasis is mine.

• Caution:– Be careful to distinguish the feature itself from…– The method, timing, certainty, etc. related to how

we found it– And the record of all the above

Page 17: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Ontology vs. Epistemology

• Ontology*The science of what is, of the kinds and structures of

objects, properties, events, processes and relations in every area of reality

• Epistemology†– The study of how cognitive subjects come to know

the truth about given phenomena in reality– …it encompasses the ways in which physicians

come to know about the existence of given diseases in given patients

*Smith B. Ontology. In: Floridi L, ed. The Blackwell Guide to Philosophy of Computing and Information: Blackwell Publishing 2003.†Bodenreider O, Smith B, Burgun A. The ontology-epistemology divide: A case study in medical terminology. In: Varzi A, Vieu L, editors. Proceedings of the Formal Ontology in Information Science Conference (FOIS 2004); 2004; Turin; 2004.

Page 18: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Per SNOMED-CT

• Disease is a Clinical Finding• Also, per the User Guide:

IS_A relationships are also known as “Supertype-Subtype relationships”

• Thus, a disease is a subtype of …result of a clinical observation, assessment, or judgment…

• And so is a Drug action, Edema, Deformity, and Administrative statuses

Page 19: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

But,

• Diseases, signs, symptoms, etc. all exist regardless of whether a clinician finds them

• Failure to “find” (i.e., diagnose) cancer is a leading cause of malpractice claims

Page 20: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Problems with Epistemological Criteria

• Cannot differentiate true subtype from what is known:– Presbyterian vs. Unknown religion– Chronic hypertension complicating AND/OR reason

for care during childbirth vs. Chronic hypertension• Whatever we say is true of all instances of the

type Religion, the computer will assume to be true of the Unknown religion, too

Page 21: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

PubMed as Barometer of Scientific Terms

Search string Total Hits

Hits on Title Only

“chronic hypertension” 1573 314“chronic hypertension” reason care 3 0“chronic hypertension” complicating 14 1“chronic hypertension” childbirth 6 0

We gave Chronic hypertension complicating AND/OR reason for

care during childbirth every chance. It’s just not a subtype of chronic

hypertension.

Page 22: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Epistemology and Combinatorial Explosion

• Rash– Cutaneous eruption (morphologic abnormality), with

synonym Rash– Eruption of skin (disorder), with synonym Rash– Complaining of a rash (finding)– On examination - a rash (finding)– On examination - rash present (situation)

• Fever– Fever - 386661006– On exam – fever - 271897009– Fever symptoms - 248427009– Feeling feverish - 103001002

Will we eventually need: On digital photograph

transmitted by a telemedicine device – a

rash (finding)?

Page 23: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Epistemology and Time

• Today, I document the problem list:– History of - myocardial infarction in last year– Recent weight gain– New onset angina– Hepatitis A - current infection– Newly diagnosed diabetes

• The patient returns to the office for the first time two years from now.

We also need a coherent, shared representation of

disease vs. course of disease

Page 24: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Epistemology and Negation

• If the EMR says:NOT Colitis presumed infectious

• Does that mean:NOT Colitis

• OrNOT presumed infectious (and then, is it certainly not infectious or certainly infectious, or

have we just stopped presuming altogether and chosen instead to remain agnostic about whether the colitis is of infectious origin?)

Page 25: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

• Contradiction!• Someone forgot to tell the computer :

– About complications– When complications are present vs. absent

• But the real issue is more subtle…

Logical Conjunction as Set Membership

Page 26: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Neither is a Subtype of Diabetes Mellitus

• There are no instances (and there never has been) of the disease Type II diabetes mellitus with neuropathy

• Nothing is both elevated blood glucose and nerve damage at the same

• However, there are millions of instances of human with:The disease Type II diabetes mellitus, and the disease Neuropathy, where the former caused the latter.

• Similarly, for Hypertensive heart and renal disease with both (congestive) heart failure and renal failure (disorder)

Thus this term represents two diagnoses in a set, that are erroneously conjoined

with AND.

Page 27: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

To which diagnosis/disease in the set do the following apply?

• Onset date• Method of diagnosis• Date diagnosis made• Uncertainty• Course (acute, chronic, etc.)• Negation• Treatment

Page 28: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Conclusions/Recommendations

• Avoid finding and its younger sibling situation as catch-as-catch-cans– Distinguish carefully and always between what was found,

the finding process, and the record of the finding

– A disease is not a finding***• No epistemological criteria for ontology terms

– More work on course of disease vs. disease– Does a different course imply a different subtype?

• Avoid logical conjunction/disjunction of terms, especially diseases and their complications

Page 29: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

A DAY IN THE LIFE OF A DIRECTOR OF MEDICAL VOCABULARY/ ONTOLOGY…

Page 30: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

From: Fiorillo, Anthony MD Sent: Monday, August 13, 2007 10:20 AMTo: Hogan, William RSubject:

Bill   FYI the limits of both ICD and SnowMed;  I was unable to find a dx specific to this patients new dx. Submucosal colonic Leiomyoma.  Here is a snap shot of the search:Note that ICD9 assumes Leiomyoma occur only in the uterus when they can occur any where there is smooth muscle!

A problem that the “finer granularity” of ICD-10-CM does

not address, incidentally.

Page 31: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

53 results in ICD-9-CM and SNOMED-CT

combined. Mixture of “Body structure” and

“Clinical Finding”.

Page 32: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

Trying to be helpful, I conduct the search also, and respond…

Although SNOMED does have Leiomyoma of stomach and Leiomyoma of esophagus, it does not have even leiomyoma of colon let alone a submucosal one. … Looks like the best you could do in either case is “Benign tumor of the colon”, which isn’t terribly helpful.

Page 33: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

The Final Outcome?

He is asymptomatic; found on screening colonoscopy.  I used an annotated SnowMed code 74391019

74391019 is Leiomyoma (body structure)

It was 52nd of 53 search results.

Page 34: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,
Page 35: Problems with Current Approaches to Clinical Data William R. Hogan, MD Associate Professor of Biomedical Informatics University of Pittsburgh Director,

The Issue(s)?

• Clinician reproducibility– Some will choose body structure– Some might choose clinical finding– Few will care about the distinction, let alone try to

understand, or even succeed if they do– Vendors obviously don’t care, either

• This user– Cared about ontology (what the leiomyoma was)– Didn’t care about epistemology (the fact that someone

found it on colonoscopy)