Biomedical Informatics - Computer Science, Engineering Design - Lecture Slides, Slides of Computer Science

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What is BMI?

Expand Knowledge on Emerging

Disciplines

• Biomedical Informatics/Health Information Technology Rapidly Emerging Discipline
• Cutting Edge, Incredible Career and Research Opportunities
• Improve Practice of Medicine Through Informatics
  • Patient Managed
  • Patient Care
  • Hospital Based
  • Research (Genomics/Trials)
• What is Biomedical Informatics?
• Where is the Future?

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 (DrugTrails, Data Analysis, etc.) - Clinical Informatics, Pharmacy Informatics, Consumer Health Informatics, Nursing Informatics

BMI & Clinical Practice

• Tracking all Information for Patient and his/her Care - Medical Record, Medical Tests (Lab, Diagnostic, Scans, etc.), Prescriptions
• Dealing with Patients – Direct Medical Care
  • Hospital or Clinic, Physician’s Office
  • Testing Facility, Insurance/Reimbursement
• Informatics Support via:
  • Electronic Medical Record
  • Linking/Accessing Data Repositories
  • Collaborative and Secure (HIPPA) Web Portals

Learn about New/Emerging

Technology

• Personal Health Records (PHR) are Patient Controlled Repositories - Google Health (www.google.com/health) - Accessible via Java API - XML-Based Interface - Microsoft HealthVault (www.healthvault.com/) - Accessible via .Net Infrastructure
• Electronic Medical Records (EMRs) are Health Provided Controlled Repositories - General Electric Centricity EMR - Version 9.2 – Secure Web Services

Project Focus this Semester

• Smartphone Applications that Interact with Google Health (or MS Health Vault) and GE Centricity
• Focus on Observations for Daily Living (ODLs)
• What are ODLs?
  • Patient Provided Information
  • Related to their Chronic Diseases or Health Goals
  • Augment Typical Information Provided at MD Visit
  • Continuous Input
  • Clinical Decision Support to Spot Problem Trends
  • Intervene Before Event Occurs
  • Monitor Progress Towards Goal (e.g., weigh loss)

Overall Architecture

GoogleHealth Patient Demographicsand ODLs

Figure 1: Architecture Diagram of the Proposed System.

Pat i ent s

Pr ovi der s

Repository^ Database

Web/Application Server

SQL Server Database

Client Side Technologies Server Side Technologieshttps, html, Ajax, XML Java, JSP, Hibernate, Relational Database, XML

Centricity EMR

Possible ODLs

• Multi-Media Support Repository: It has been found in a number of settings, that people with chronic diseases may be able to cope with their pain, fatigue, etc., through the use of audio clips, video clips, or pictures that mean something too them. For example, for one person it may be pictures and clips of family and loved ones, for another person it may be popular music, for yet another inspirational speeches, and so on. The intent is to develop a Smartphone application that is capable of tracking a repository of audio, video, and pictures, categorized by Topic, Title, and/or Keywords. The system will track a complete historical record for each participant, noting the selections that are being utilized along with their date- time stamp and frequency. There will be the ability to have a favorites list of most frequently used selections, as well as forDocsity.com

Possible ODLs

• Discrete Measurement of Symptom/Condition: Historically, pain scales have been used extensively in medical settings (just to a Google Search on “pain scale” images). This type of scale can be generalized to collect information related to pain, fatigue, mobility, adherence to medication, and so on. Note that some of these ODLs may be regularly schedule (e.g., the smartphone beeps a reminder), triggered as the result of a

Possible ODLs

• Discrete Measurement of Symptom/Condition: Historically, pain scales have been used extensively in medical settings (just to a Google Search on “pain scale” images). This type of scale can be generalized to collect information related to pain, fatigue, mobility, adherence to medication, and so on. Note that some of these ODLs may be regularly schedule (e.g., the smartphone beeps a reminder), triggered as the result of a

Possible ODLs

• Scanning/Recognition: For this application, it may be possible to leverage the digital camera in a cell phone to take a “picture” of a medication and/or nutritional supplement label that can be then uploaded to the web into the PHR or EMR. The idea would be for the patient to be able to create a pictorial representation of medications/supplements, that would also be supplemented with their complete dosing information (size, frequency,

Possible ODLs

• Futuristic: Are you really Ambitious?
  • Link Commercial Glucose Meter to SmartPhone
  • Digital Camera on Smartphone to Scan Bar Codes on Supplements and/or Medications - May Involve OCR
  • Hooking up Sensors through Smartphones
    • Pulse, BP, etc.
    • Treadmill or Exercise Equipment
  • GPS and Smartphones? For Movement?
• Many of these will need to store data in