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Natural Language Processing Uses in Healthcare Laura Pietromica Customer Advisor & Consultant HIMSS Certified Consultant NLP Overview Agenda Potential in Healthcare Challenges NLP is expected to be a $22.3 billion


  1. Natural Language Processing – Uses in Healthcare Laura Pietromica Customer Advisor & Consultant HIMSS Certified Consultant

  2. • NLP Overview Agenda • Potential in Healthcare • Challenges

  3. NLP is expected to be a $22.3 billion industry by 2025. Source : Tractica, August 2017 https://www.tractica.com/newsroom/press-releases/natural-language-processing-market-to-reach-22-3-billion-by-2025/

  4. NLP Overview

  5. Natural Language Vocabulary Text Language

  6. Artificial Language Java Python C#

  7. Computer interacting with language? Understand Interpret Manipulate Rules / Statistical Engine

  8. BRIEF HISTORY: The patient is a 44-year-old cigarette smoker with a markedly positive family history of coronary artery disease who has an electrocardiogram showing an old anterior septal myocardial infarction. Nuclear study showed a fixed anterior defect. He has had episodes of chest pain and coronary angiography has been recommended. DESCRIPTION OF THE PROCEDURE: One percent lidocaine was infiltrated over the right femoral artery. A 6-French sheath was placed in the right femoral artery. Diagnostic coronary angiography was performed with a 6-French JL-4 and 6-French JR-4 diagnostic catheters. Following coronary angiography, a 6-French pigtail catheter was placed in the left ventricle where left ventriculography was performed with 36 cc of contrast injected at 12 cc per second. At the conclusion of the procedure, the catheter and sheath were removed and Angio-Seal plug was deployed. TECHNICAL FACTORS: Medications: Fentanyl 100 mcg and Versed 2 mg. Contrast: Isovue 130 cc. Fluoroscopy time: 2 minutes. HEMODYNAMICS: Opening aortic pressure 103/58. Following coronary angiography, the left ventricular pressure was 107/12. There was no aortic stenosis on left heart pullback. CORONARY ANGIOGRAPHY: There was no significant obstructive coronary artery disease in this right dominant system. There is a 10% to 20% stenosis in the distal left main. The left circumflex artery is a moderate-sized vessel filling a large first obtuse marginal and diminutive second obtuse marginal and there is no significant disease. The left anterior descending coronary artery is a large vessel which extends to the apex. It fills several small diagonal branches. There are no significant stenoses. There is a large ramus intermedius which fills the lateral wall. It, too, has no significant disease. The right coronary artery is a large dominant vessel filling a moderate-sixed posterior descending artery and two larger posterolateral branches. There are no significant obstructions in the right coronary artery. LEFT VENTRICULOGRAPHY: The left ventricular systolic function is noimal. There are no regional wall motion abnormalities. There is no mitral regurgitation. DIAGNOSTIC IMPRESSION: 1. There is no significant obstructive coronary artery disease in this right dominant system. There Rules / Statistical Engine is a plaque in the distal left main, but there is no significant obstruction. 2. Left ventricular systolic function is normal. There is no evidence of previous anterior wall myocardial infarction. PLAN: I do not have a definite explanation f or the patient's abnormal electrocardiogram or abnormal nuclear study. Coronary spasm remains in the differential diagnosis and we have encouraged him to completely discontinue smoking, which he has accomplished. He certainly can take nitroglycerin on an as-needed basis in the future. I would continue aspirin indefinitely.

  9. Potential

  10. “Why are you asking me this? You have my chart!” Identify Key Concepts, Facts, Trends and Phrases Executive Summary

  11. Siri saykara

  12. Analytics & Data Mining • QRISK – Cardiovascular disease • HLA’s Horizon – Oncology • IBM Watson – Radiology – Drug discoveries – Clinical Trial Matching

  13. A doctor reads about a half dozen medical research papers in a month…whereas Watson can read half a million in about 15 seconds. - Sean Captain, Can IBM Watson Do It All, Fast Company

  14. Challenges

  15. Language • Regional dialects ? ? - France or France • Phonetics - Celery / Salary - Hear / Here - Ice Cream / I Scream - Peas / Peace

  16. Complexities Structured vs Unstructured Different Senses & Meaning – Data set – Eye drops – Notes section – Murmur appreciated – Mass at 3 o’clock

  17. Design /  X ? Feedback Modify Review Process Deploy Test

  18. AI Is Inventing Languages Humans Can’t Understand. Should We Stop It? - Mark Wilson, Fast Company

  19. For More Information… iCIMS & Health Language Analytics Booth 63 Alcidion Booth 29

  20. Thank you Laura.Pietromica@hyland.com Laura Pietromica +1.216.407.6769 Customer Advisor & Consultant Booth 51 HIMSS Certified Consultant

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