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IntroOH-1 CSE 300 Topics in BMI: Course Objectives Prof. Steven A. Demurjian, Sr. Computer Science & Engineering Department The University of Connecticut 371 Fairfield Road, Box U-255 Storrs, CT 06269-2155 steve@engr.uconn.edu http://www.engr.uconn.edu/~steve (860) 486 - 4818
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IntroOH-2 CSE 300 What is Informatics? Informatics is: Management and Processing of Data From Multiple Sources/Contexts Involves Classification (Ontologies), Collection, Storage, Analysis, Dissemination Informatics is Multi-Disciplinary Computing (Model, Store, Process Information) Social Science (User Interactions, HCI) Statistics (Analysis) Informatics Can Apply to Multiple Domains: Business, Biology, Fine Arts, Humanities Pharmacology, Nursing, Medicine, etc.
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IntroOH-3 CSE 300 What is Informatics? Heterogeneous Field – Interaction between People, Information and Technology Computer Science and Engineering Social Science (Human Computer Interface) Information Science (Data Storage, Retrieval and Mining) People Information Technology Informatics Adapted from Shortcliff textbook
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IntroOH-4 CSE 300 What is Biomedical Informatics (BMI)? BMI is Information and its Usage Associated with the Research and Practice of Medicine Including: Clinical Informatics for Patient Care Medical Record + Personal Health Record Bioinformatics for Research/Biology to Bedside From Genomics To Proteomics Public Health Informatics (State and Federal) Tracking Trends in Public Sector Clinical Research Informatics Deidentified Repositories and Databases Facilitate Epidemiological Research and Ongong Clinical Studies (Drug Trails, Data Analysis, etc.)
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IntroOH-5 CSE 300 What are Key BMI Focal Areas? T1 Research Transition Bench Results into Clinical Research Clinical Research Applying Clinical Research Results via Trials with Patients on Medication, Devices, Treatment Plans T2 Research Translating “Successful” Clinical Trials into Practice and the Community Clinical Practice Tracking all of the Information Associated with a Patient and his/her Care Integrated and Inter-Disciplinary Information Spectrum
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IntroOH-6 CSE 300 Where/How is BMI Utilized? T1 Research (Bench Clinical) Transfer of Knowledge from Laboratory or Bench to Clinical Trials Move Genomic Research from Bench (Lab) to Clinical Trial (or Genetic/Test Intervention) Transfer in Lab/Bench Research to Pre-Clinical and Early Clinical Human Subject Research Exs: New Genetic Test for Autism Tested on Samples from DNA Repository Transition to Actual Patient Population Growing new Jaw Bone in Mice for Dental Implants – Transition to Human Tissue
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IntroOH-7 CSE 300 Where/How is BMI Utilized? Clinical Research (Trials) Wide Range of Implications from Medical Treatment to Medication Regime Multi-Phased Process for Clinical Trials: Phase I: First Stage – 20-80 Healthy Patients Phase II: Second Stage – 20-300 Patients IIA – Dosing – How Much of Drug Should be Used IIB – Efficacy – How Well Does Drug Work Randomized Clinical Trials (Not all Get Drug) Phase III: Multi-Center Trials – 300-3000 Longer Term, Data Collected, Multiple Locations Preparation of Data for Regulatory Approval (FDA) Phase IV: Ongoing Monitoring of Drug After Approval
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IntroOH-8 CSE 300 Where/How is BMI Utilized? Clinical Research (Trials) Differing Perspectives for Carrying out Research: Patients: Drug, Treatment Regime, or Device Increased Dose of Existing Drug (Safety/Effective) Applying Drug to New Disease Compare Two or more Treatments Epidemiological Study Existing Data for Trend Against Existing Data Repositories Patients with CHF and Diabetes Taking Statins Tracking Communicable Disease/Outbreaks Phases I, II, III, and IV Apply Bad Results in IV – Pull Drug (Vioxx)
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IntroOH-9 CSE 300 Where/How is BMI Utilized? T2 Research (Clinical Research Practice/Community) Practice-Oriented Translation Research Results: Clinical Trails Clinical Practice Strategies for Establishing/Implementing New Technologies Improvements in Practice New Evidence-Based Guidelines New Care Models Phase III Success Translated to Health Providers Examples Statin Drugs (Lipitor) and Exercise New Treatment Regime for Chronic Disease
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IntroOH-10 CSE 300 Where/How is BMI Utilized? Clinical Practice Dealing with Patients – Direct Medical Care Hospital or Clinic Physician’s Office Testing Facility Insurance/Reimbursement Tracking All Data Associated with Patients Medical Record Medical Tests (Lab, Diagnostic, Scans, etc.) Prescriptions Stringent Data Protection (HIPAA) Distributed Repositories, Inability to Access Data in Emergent Situations, Competition, etc.
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IntroOH-11 CSE 300 What is Medical Informatics? Clinical Informatics, Pharmacy Informatics Public Health Informatics Consumer Health Informatics Nursing Informatics Systems and People Issues Intended to Improve Clinical outcomes, Satisfaction and Efficiency Workflow Changes, Business Implications, Implementation, etc… Patient Centered – Personal Health Record and Medical Home Care Centered – Pay for Performance, Improving Treatment Compliance
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IntroOH-12 CSE 300 What is Bionformatics? Focused on Research Tools for T1: Genomic and Proteomic Tools, Evaluation Methods, Computing And Database Needs Information Retrieval and Manipulation of Large Distributed (caBIG) Data Sets (cabig.cancer.gov/index.asp) Often Requires Grid Computing Includes Cancer and Immunology Research Increasing Need to Tie These Separate Types of Systems Together = Personalized Medicine Biology and the Bedside (www.i2b2.org) www.i2b2.org
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IntroOH-13 CSE 300 Where is Data/How is it Used? Medical And Administrative Data Found in Clinical Information Systems (CIS) Such As: Hospital Info. Systems Electronic Medical Records Personal Health Records such as Google Health and Microsoft Healthvault Pharmacy, Nursing, Picture Archiving Systems Complex Data Storage and Retrieval – Many Different Systems T1 Research Increasingly Reliant on CIS T2 Research is Reliant on: End Systems for Embedding EBM (Evidence- Based Medicine) Guidelines Measuring Outcomes, Looking at Policy
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IntroOH-14 CSE 300 What are Major Informatics Challenges? Shortage of Trained People Nationally Slows adoption of Health Information Technology Results in Poor Planning and Coordination, Duplication of Efforts and Incomplete Evaluation What are Critical Needs? Dually Trained Clinicians or Researchers in Leadership of some Initiatives Connect all folks with Informatics Roles across Institutions to Improve Efficiency Multi-Disciplinary: CSE, Statistics, Biology, Medicine, Nursing, Pharmacy, etc. Emerging Standards for Information Modeling and Exchange (www.hl7.org) based on XML www.hl7.org
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IntroOH-15 CSE 300 What is UConn Doing in this Area? NIH’s CTSA Program: Transform the Way Clinical and Translational Science Research is Conducted From Bench to Clinical Research to Translational Research to the Bedside and Back Again 45+ Academic Medical Centers Awarded to Date see: http://www.ctsaweb.org/ Under President Mike Hogan’s Leadership UConn Submitted a CTSA Proposal in Oct 2008 Formed CICaTS: Connecticut Institute for Clinical and Translational Science (Sept. 29 th 09) University Initiative with Partners John Dempsey, St. Francis, Hartford Hospital, CCMC, Hospital for Central CT, Institute for Living, etc. http://cicats.uconn.edu/
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IntroOH-16 CSE 300CICATS Official Launching: Tuesday September 29, 10:30am-1:30pm UConn Global Business Learning Center, Hartford Speakers Include: Pres. M. Hogan, Provost P. Nichols, and Dean Cato Laurencin (Med School) Mission: to educate and nurture new scientists to increase clinical and translational research being conducted at UCHC, regional hospitals, UConn Storrs, and healthcare organizations throughout greater Hartford to increase clinical and translational research being conducted at UCHC, regional hospitals, UConn Storrs, and healthcare organizations throughout greater Hartford to work collaboratively with regional stakeholders to combat the leading causes of morbidity, mortality, disability, and health disparities CICATS will have Biomedical Informatics Center
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IntroOH-17 CSE 300 Biomedical Informatics in CICATS
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IntroOH-18 CSE 300 Summary of Web Sites of Note: AMIA (www.amia.org) IHE (http://www.ihe.net/) Smartplatform (http://www.smartplatforms.org/) Mysis MOSS (http://www.misys.com/OpenSource) http://www.misys.com/OpenSource NSF Clinical and Translational Science Program http://www.ctsaweb.org/ http://www.ctsaweb.org/ Emerging Patient Data Standard http://www.hl7.org/ Informatics for Integrating Biology & the Bedside. https://www.i2b2.org/ Cancer Biomedical Informatics Grid http://cabig.cancer.gov/index.asp
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IntroOH-19 CSE 300 Semester Topics (weeks) Four Core Topics: Semester and Course Overview (0.5) Informatics/Information Engineering (1.5) Software Architectures (2) Security and Dynamic Coalition Problem (2) Service Based Computing (2) CORBA, JINI,.NET, Interoperability, Web Security Discussion of Semester Project (0.5) Presentations by Outside Speakers (2.5) Student Presentations on Biomedical Informatics Materials (3)
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IntroOH-20 CSE 300 Planned Speakers Dr. L. Fagan, Co-Director, Stanford Biomedical Informatics Training Program, March 31 Dr. M. Smith, Pharmacy Practice, UConn, April 5 Dr. T. Shortliffe, President, AMIA, April 28 Others to be Scheduled: Dr. Thomas Agresta Dr. Michael Blechner Dr. Xiaoyan Wang
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IntroOH-21 CSE 300 Class Materials, Textbook, Projects, etc. Course Web Site: http://www.engr.uconn.edu/~steve/Cse300/cse300.html http://www.engr.uconn.edu/~steve/Cse300/cse300.html Reading List Constant Updates and Changes Textbook Biomedical Informatics: Computer Applications in Health Care and Biomedicine (Health Informatics), Edward H. Shortliffe (Editor), James J. Cimino (Editor), ISBN-10: 0387289860 Project 1 – Due in 2 weeks Project 2 – Out in 2 weeks Team Project – Out in 2 weeks as well Questions? Comments? Suggestions?
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IntroOH-22 CSE 300 Course Projects and Exam (???) … Individual/Team Course Project(s) Throughout the Semester Individual Projects have two Goals Increase Student Knowledge on BMI Assist in Creating Courseware Project will be the Entire Class Explore and Learn about BMI Technologies Span Subset of: T1 Research - Clinical Research - T2 Research - Clinical Practice Explore Open Source and Other Solutions Develop Extensible Plug and Play Framework Exam – At MOST Final Exam (Still open to debate!)
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IntroOH-23 CSE 300 Individual Semester Projects Readings, Readings, and More Readings Project 1: Annotated Bibliography Accumulate Web/Hard Links on T1 Research - Clinical Research - T2 Research - Clinical Practice Read 7 Papers on Clinical & Translational Science Project 2: Courseware Materials Choose two Different Areas for Indepth Examination Topics include (but not Limited to): HIE I2b2 Standards (HL7, Common Data Architecture CDA) caBIG BIRN (Biomedical Informatics Research Network) Another NIH Computing Initiative
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IntroOH-24 CSE 300 Semester Project Still Evolving – Possible Projects Include: Usage of SmartPlatform Utilization of Personal Health Records (PHR) Such as Google Health and/or MS Healthvault in New or Extended Context Interoperability with EMR Google Health Hibernate API Available XML (HL7/CDA) to i2b2 DB Translation Supervised by M. Blechner (UCHC BMI Faculty) Extending Cell Phone Applications (iphone, blackberry, and android) for Maintaining Prescriptions Observations of Daily Living Prior Work by Undergraduate Teams (with Source)
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IntroOH-25 CSE 300 Semester Project Objectives Objective – Wide Scale Open Source Framework Envision Plug and Play Architecture High Reliance on Open Source Solutions for PHR and EMR Support Interoperability to Components via XML and Standards Develop Complete, Integrated, and Extensible Framework
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IntroOH-26 CSE 300SmartPlatform Substitutable Medical Apps, reusable technology (http://www.smartplatforms.org/)http://www.smartplatforms.org/ NSF/NIH Funded SHARP Proposal at Harvard Intended to: “A platform with substitutable apps constructed around core services is a promising approach to driving down healthcare costs, supporting standards evolution, accommodating differences in care workflow, fostering competition in the market, and accelerating innovation” Likely Led by Timo Ziminski
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IntroOH-27 CSE 300 Personal Health Records Google Health Detailed Hibernate API to Allow Programmatic Transfer of Information to/From Google Health Utilized in Web-Based Application Utilized by Cell Phone Projects (see later slides) Existing Platform Available for Future Design, Development, and Usage Explore EMR/PHR Interoperability
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IntroOH-28 CSE 300 TMR Architecture
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IntroOH-29 CSE 300
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IntroOH-30 CSE 300 XML (HL7/CDA) to i2b2 DB Translation Work with Dr. Michael Blechner (UCHC BMI Faculty Member) Explore a Prototype that can take: HL7/CDA Data (Simulated from an EMR) Store in a i2b2 Compatible Database Utilization of Standards, New Technologies, etc.
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IntroOH-31 CSE 300 Cell Phone Applications RWJ Project Health Design Observations of Daily Living and PHRs Passive – Once Initiated, Collects Data Accelerometer Pedometer Pill Bottle that Sends a Time Stamp Message (over Bluetooth?) to SmartPhone Active – Patient Initiated Providing Information via Smartphone on: –Diabetes (Glucose, Weight, Insulin) –Asthma (Peak Flow, use of Inhaler) –Heart Disease (Pulse, BP, Diet) –Pain, Functional status, Fatigue, etc. http://www.engr.uconn.edu/~steve/Cse4904/cse4904.html
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IntroOH-32 CSE 300 Focus of Grant Management of Two Diseases in Women of Color Obesity and Osteoarthritis Team TRIPP (Crowell, Fifield) and AHFP (Agresta) SisterTalk (Headley) and CHCAT (Granger) UConn Storrs (Demurjian) and Netsoft (Collins)
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IntroOH-33 CSE 300 CSE4904 – Spring 2010 Smartphone Projects on ODLs and Other Medical Data Tracking and Alerts Three Platforms: Google’s Android (Java) Blackberry (Java) iPhone (Objective C) Three Teams of Three Students Each
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IntroOH-34 CSE 300 Blackberry Team Ability to Track Information on ODLs and Prescriptions Login Screen Connection to Google Health Health Screen to Track ODLs Charting of ODLs over Time Loading Scripts from Google Health Prescription Alarms Adam Siena, Kristopher Collins, William Fidrych
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IntroOH-35 CSE 300 Screen Shots
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IntroOH-40 CSE 300 Android Team Similar Capabilities to Blackberry Project Wellness Diary and Medication Alarm Integration with Google Health Much Improved ODL Screens Male and Female Faces Change “Face” Based on Value Tracking Prescriptions and Alarms Reports via. Google Charts Ishmael Smyrnow, Kevin Morillo, James Redway
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IntroOH-45 CSE 300 iPhone Team Similar Capabilities to Blackberry Project Tracking of Conditions, Medications, and Allergies ODLs for: Blood-Glucose, Peak-Flow, and Hypertension Generation of Reports Synchronization with Google Health Brendan Heckman, Ryan McGivern, Matthew Fusaro
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IntroOH-46 CSE 300 Screen Shots
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IntroOH-50 CSE 300Questions?
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