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HEALTHCARE SOLUTIONS Ways that Speech Technology will Transform Medicine Nick van Terheyden, MD, Chief Medical Information Officer – CLU Nuance Communications

Speech Technology and how it will Transform Medicine

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Whether the user is interacting with a mobile device, a web site, or a phone-based health technology system, there is often a large gap between what the user wants to accomplish and how they want to accomplish it, and what they actually get from the system. The interface can be challenging and capturing any feedback or user interactions is difficult using on keyboards and point and click tools. Speech Recognition is changing this interaction by capturing the clinical input and allowing clinicians and healthcare users to access systems that listen and responds seamlessly understanding the context and the intent turning what the users wants into what they get.

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  • 1. HEALTHCARE SOLUTIONSNick van Terheyden, MD,Chief Medical Information Officer CLUNuance Communications

2. HEALTHCARE SOLUTIONSOutline Medicine and the Importance of Documentation History of Speech Recognition Types of Speech Recognition technology Natural Language Understanding and its link to Speech Recognitiontechnology in health care Current and future issues 3. Medicine used to be simple, ineffective andHEALTHCARE SOLUTIONSrelatively safeNow it is complex, effective and potentiallydangerousSir Cyril Chantler, Kings Fund Chantler C. The role and education of doctors in the delivery of health care.Lancet 1999;353:1178-81u 4. Challenge Clinical Knowledge-Processing BurdenKnowledge processing requirementYears ago TodayThis gapinjures patientsHEALTHCARE SOLUTIONSKnowledge processing capacityCurrent medicalpractice reliesheavily on theunaided mind torecall a greatamount of detailedknowledge aprocess which, tothe detriment of allstakeholders, hasrepeatedly beenshown unreliableCrane and RaymondThe Permanente JournalWinter 2003 Volume 7 No.1Kaiser Permanente Institute forHealth PolicySlide Courtesy of Dr Michael Bainbridge 5. 5 CONFIDENTIAL | 2002-2011 Nuance Communications, Inc. All rights reserved. HEALTHCARE SOLUTIONS 6. UnstructuredDataHEALTHCARE SOLUTIONSDirect data entry,not physicianStructured DataDictationandTranscriptionSystemgenerated orinterfaceddataDirect data entry,physicianHandwrittenCurrent Methods for Data Capture 7. HEALTHCARE SOLUTIONS 8. First SuccessBell Labs 1939 Worlds Fair VoderHEALTHCARE SOLUTIONS 9. History Past, Present and FutureHEALTHCARE SOLUTIONS 1964 Star Trek"Computer, compute to the last digit the value of pi" -- Spock (Wolf inthe Fold episode) 1968 2001 A Space OdysseyDave Bowman: Open the pod bay doors, HAL.HAL: Im sorry Dave, Im afraid I cant do that[i]. 10. HEALTHCARE SOLUTIONSSpeech Recognition Time Line 1870s Alexander Graham Bell 1939 Voder Speech Synthesizer 1952 Bell Labs Speech Recognition 0-9 digits over the telephone 1970s HARPY Carnegie Mellon 50 computers to process 1970s Hidden Markov Modeling approach 1990s Discrete Speech Recognition 1995 Continuous Speech Recognition Power PC Chip with IntelsPentium 200Hz chip 11. HEALTHCARE SOLUTIONSWhat is Speech Recognition?Automatic conversion of spoken words tocomputer text 12. HEALTHCARE SOLUTIONSConverting Sounds to Speech 13. Tools for Converting Sound to TextHEALTHCARE SOLUTIONS Statistical Language Model Grammars 14. Types of Speech Recognition in HealthcareHEALTHCARE SOLUTIONS Front End or Real Time Server Based Speech Recognition Physician Self Edit 15. HEALTHCARE SOLUTIONS 16. HEALTHCARE SOLUTIONSHurdles to Adoption Pronunciation Separating Background Noise Resolving Ambiguity I made her duck I cooked waterfowl for her I cooked waterfowl belonging to her I created the (ceramic) duck she owns I caused her to quickly lower her head or body I waved my magic wand and turned her into a undifferentiated waterfowl Grammar and Punctuation 17. What you Speak is Not what you get Clinicians do not typically speak in structured coherent format Literal speech recognition does not provide enough value Newer solutions provide speech recognition combined with someelements of Natural Language Processing to develop andUnderstanding of What was meant vs what was saidHEALTHCARE SOLUTIONS 18. Challenges A perfect speaker?POSTOPERATIVE_DIAGNOSIS[AAHHMMMMM] Status post complete oral and dental rehabilitation PERIODNEXT_PARAGRAPH [OOHHMMMMM][NEXT SECTION]OPERATION PERFORMED Complete oral and dental rehabilitation PERIODNEXT_PARAGRAPH[cough]ANESTHESIAGeneral anesthesia by the anesthesia staff PERIOD NEXT_LINEDuration of surgery: Close to 45 minutes.Incision: none.NEXT_PARAGRAPH[NEXT SECTION][________________][paper rustling] [________________]FINDINGS [AAHHMMMMM] The patient is a 22-year-old male with missing teeth and permanent dentitionCOMMA mental retardation COMMA seizure disorder COMMA microcephaly COMMA andgastroesophageal reflux disease PERIOD Since [__] March first 2004 COMMA there has not been muchchange in the appearance of the patient PERIOD [AAHHMMMMM] The patient also had periodontaldisease evidenced by moderate bone loss COMMA hyperplastic gingiva and to three to seven millimeterpockets PERIODNEXT_PARAGRAPHThis is the end of dictation, thank youHEALTHCARE SOLUTIONS 19. HEALTHCARE SOLUTIONSFinal ReportPOSTOPERATIVE DIAGNOSISStatus post complete oral and dental rehabilitation.OPERATION PERFORMEDComplete oral and dental rehabilitation.ANESTHESIAGeneral anesthesia by the anesthesia staff.Duration of surgery: Close to 45 minutes.Incision: none.FINDINGSThe patient is a 22-year-old male with missing teeth and permanent dentition, mental retardation, seizuredisorder, microcephaly, and gastroesophageal reflux disease. Since March 1st 2004, there has not beenmuch change in the appearance of the patient. The patient also had periodontal disease evidenced bymoderate bone loss, hyperplastic gingiva and to 3-7 millimeter pockets.John Smith, MDPhilips HospitalBethesda Medical CenterMaryland 20. HEALTHCARE SOLUTIONSNatural Language ProcessingThe Technology and How it Works 21. Speech is Reinventing the relationshipbetween people and technologyHEALTHCARE SOLUTIONS At the forefront of the nextchapter of human-computerinteraction Deeply invested in creatingeffortless and natural userexperiences Rapid advances in voice-recognitiontechnology 22. HEALTHCARE SOLUTIONS 23. HEALTHCARE SOLUTIONS 24. HEALTHCARE SOLUTIONSCHIEF COMPLAINTPAST MEDICAL HISTORY 25. PAST MEDICAL HISTORYHEALTHCARE SOLUTIONSCHIEF COMPLAINT 26. From Clinical Narrative to FactsCLINICAL LANGUAGE UNDERSTANDING63 %93%86 %Oct 10 Feb 12HEALTHCARE SOLUTIONSRules: explicit linguistic modelsMachine learning: discovery of new patternsSyntactic parsing & Statistical semantic processing 27. HEALTHCARE SOLUTIONSIn EHRMT-editingFeedbackEHRQualityReportingCoding &BusinessIntelligenceReal timedata &feedbackEPRQuality MetricsCodes / Clinical DocImprovementOutcomesClinical FactsNarrativeWith aRIS/PACSIn EHRSelf-editingOn the GoOn a PCAt a DictationStationOn anMFP 28. HEALTHCARE SOLUTIONSPossibly the first step in thisjourney could be instantaccess on mobile platform 29. NLU Technology Across IndustriesBRINGING THE POWER OF LANGUAGE UNDERSTANDINGAcross a Number of Domains100+ apps and countingDragon Go! Cluzee EviDragon Assistant Voice Ask Google CleverbotSpeaktoit Siri Ask ZiggyHEALTHCARE SOLUTIONSAndyirisSkyvi Pannous EVA 30. HEALTHCARE SOLUTIONSCustomer careWhats the current ratefor a 30 year fixed rate mortgage?Donna: The most recent published rate for aqualifying 30 year fixed rate mortgage is4.750%/4.878% APROK, how about variable?Donna: For a variable mortgage, the mostrecent published rate is 3.5%/3.286% APROK. Are there any otheroptions I should look at?Donna: We also offer 15 year fixed ratemortgages would you like to hear moreabout them?RISING EXPECTATIONSConsumer apps creating expectations ofnatural interactionsNLU promises to cut through deep menusTransition from a ROI-model to a 'must-haveNative apps with migration path tobrowsers and standardsMulti-platform, multi-channel 31. HEALTHCARE SOLUTIONSIntelligent Voice Interactions Minimize need to remember gate commands &command order Allow multiple forms of expression and handleambiguous input Allow for more conversational spoken utterances,less utilitarian Reduce distance between complex spokencommands and desired outcome or action finding becomes doing Customizable to provide levels of seamlessaccess to any content on device 32. The Current State of On-line ContentHEALTHCARE SOLUTIONS Input is a keyword Not keywords Treatment of onychomycosis Just a single keyword onychomycosis The result is a chapter to scroll through The need is for more granular input leading to more granular results At a minimum, the right page, not the right chapter The ultimate goal is the right paragraph onychomycosis treatment is multiple keywords To really improve the physician experience, natural language What is the treatment of oncyhomycosis? Even better with real understanding How do you treat toe-nail fungus? And this is just the first step 33. Natural language interface to allow doctorto request information in a comfortable way.Show me his last chest xray=SHOWXRAY>=chest>=latest>Application maintains patient context andassumes request is for current patientHEALTHCARE SOLUTIONSA Possible Future PlatformUse Cases Voice Enable a EHRLabs for James JonesShow me lab results for JonesCBC results for James JonesJames Jones, lab resultsLast labs for James JonesDM360PlatformNLU=LABRESULTS>=Jones, James>Application receives XML and displayslab results for the specified patient. 34. HEALTHCARE SOLUTIONSFuture Hospital Label Warning Please be advised that this hospital uses manual, paper-basedmethods for tracking the process of your care andfor implementing the orders of your physicians.Therefore, many orders that your doctors initiate will notbe carried out as written. As a result, you may regrettablyreceive the wrong medicine, the wrong dose of the rightmedicine, the wrong route of administration, or possiblythe correct medicine at the wrong time.Presidents Information Technology Advisory CommitteeRevolutionizing Health Care Through Information Technologyhttp://www.hpcc.gov/pitac/meetings/2004/20040617/20040615_hit.pdf 35. HEALTHCARE SOLUTIONSPrediction Paper, manila notes and folders willbecome memorabilia of the past andrelegated to museums 36. Nick van Terheyden, MD CMIO, Nuance CommunicationsAboutMe http://about.me/obiwanTwitter http://twitter.com/drnic1LinkedIn http://www.linkedin.com/in/nickvtVoice of the Doctor http://drvoice.blogspot.com/FaceBook http://profile.to/drnickE-Mail [email protected], [email protected] Voice (301) 355-0877HEALTHCARE SOLUTIONSWhere You Can Find Me 37. HEALTHCARE SOLUTIONSNick van Terheyden, MD,Chief Medical Information Officer CLUNuance Communications