Available Until 10/31/2028
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NLM Georgia Biomedical Informatics Course*

 

For more information or to schedule this course, please contact Michael Ackerman, mjackerman.t2i@gmail.com.

For more information: http://guides.augusta.edu/nlm

Learning Objectives

What is Biomedical Informatics?

  • Define the major terms of biomedical informatics.
  • Describe the recent growth in use of health information technology.
  • Discuss the major applications of biomedical informatics
  • Define the major organizations and resources of the field of biomedical informatics.

Leveraging Data and Technology to Engage in my Own Terms: A Patient Perspective

  • Recognize trends that are driving patients to seek more autonomy.
  • State how technology and social networks are empowering patients to design their own experience.
  • Explain how to advocate for and partner with this new class of patients to enable more patient autonomy.

Security and Privacy

  • Explain risks encountered when using patient data.
  • Identify security controls and privacy methods.
  • Discuss methods used to maintain patient data security and privacy.

Data Management

  • Relate basic concepts behind planning for collection of research data.
  • Analyze real world study requirements and logistical workflow before starting collection of data
  • Describe the importance of good recordkeeping and documentation of records for ongoing and shared research

REDCap Discussion/Demonstration

  • Participants will solidify EDC Best Practice principles learned during data management session
  • Students will also practice planning/implementation of research data management methods using an EDC software platform

Genetics, Genomics, and Why We Care

  • List various ways to find genetic information, such as seeing a patient, reading a description of a patient, attending a presentation about the genetic information or reviewing a course of treatment.

Precision Medicine from an Informatics Perspective

  • Define precision medicine, comparing and contrasting it with conventional medicine.
  • List the major components required to develop a precision medicine delivery program.
  • Discuss the informatics challenges that arise when moving from conventional medicine to precision medicine.

NLM Resources

  • Demonstrate the ability to distinguish between numerous NLM resources in order to obtain appropriate health information.
  • Identify resources focusing on a specific topic or population.
  • Discover new initiatives developed by NLM to stay current with available information resources.
  • List three to five new NLM resources participants were not aware of before class.

Practical Bioinformatics for the Clinic

  • List two types of data that NCBI has available to assist with clinical diagnosis.
  • Describe the types of data that NCBI has available to discover genetic tests.
  • Determine molecular etiology using NCBI data.
  • Describe the types of data that NCBI has available to support therapeutic selection.
  • Describe the types of data that NCBI has available to facilitate patient education.

Exercises in Knowledge Retrieval

  • Find answers to class exercises provided by the instructor.
  • Identify appropriate resources for specific information topics.
  • Demonstrate the ability to find and use prior session information within the context of a case study.

Consumer Health Informatics

  • Examine developments in consumer health informatics related to communication technologies, health care, and consumer empowerment.
  • Explain the design considerations when creating technologies to meet consumers’ needs.
  • Identify and apply the important components in evaluating consumer health websites.

Mobile Devices

  • Describe developments in mHealth technologies for informing consumer health behaviors.
  • Examine approaches for developing text messaging campaigns.
  • Evaluate the robustness, rigor and applicability of mHealth applications.
  • List issues that may be encountered in the translation of information onto a mobile platform for patients/ consumers’ use.

Ethical Issues Related to Research, Evaluation, Publication, and Implementation in Biomedical Informatics

  • State the key ethical issues related to the use of informatics in research, publication, evaluation and clinical implementation.
  • Identify three ethical problems that might occur during the conduct of informatics-related research, publication, evaluation and/or clinical implementation.
  • Describe methods to potentially manage arising ethical issues regarding informatics-related research, publication, evaluation and/or clinical implementation.

Imaging Informatics

  • Describe the dimensionality and complexity of a digital image
  • Recognize the data size of a digital image and explain the consequences of that size
  • Recognize the consequences of image compression
  • Describe the limitations of deep learning as applied to image recognition

Health Data Visualization

  • Describe the uses of biomedical data and information visualization in scholarly communications, scientific discovery, website user interface and experience design.
  • Recognize the current challenges encountered when using the existing method/tools.
  • Access existing biomedical visualization data and tools.

Using Telehealth to Increase Multi-Disciplinary Collaboration and Improve Heath Care Outcomes

  • Recognize the role of telehealth in healthcare delivery
  • Identify opportunities to improve access and quality using telehealth tools
  • Explain the public policy barriers and opportunities to advance telehealth into mainstream healthcare

Public Health Informatics

  • Define the concept of public health informatics and explain core aspects of the field.
  • Discuss how key information systems are used in disease surveillance and response.
  • Describe and demonstrate innovative products developed to utilize technology in disease detection and response.

Mathematical Modeling with Clinical Decision Support

  • State key assumptions of Markov models
  • Distinguish equation and agent based models
  • Explore the effect of parameters in models of infectious disease
  • Critically evaluate Markov models for clinical decision support
  • Use NLM resources to inform clinical decision-making

Clinical Terminology

  • Explain how the clinical features are reflected in disease names.
  • List and describe the main biomedical ontologies used in 21st-century healthcare.
  • Discuss the purpose of biomedical ontologies in knowledge management, clinical decision support, and analytics.
  • List and describe the main biomedical semantic standards.

EHRs, APIs, and Apps

  • Explain how the current state of electronic health records (EHRs) can be understood through the history of medical records.
  • Recognize some of the promises and pitfalls of secondary use of EHR data.
  • State how application programming interfaces (APIs) and apps can complement EHRs.

Natural Language Processing Support for Clinical Tasks

  • Explain the need for natural language processing (nlp) to support clinical tasks
  • Recognize NLM’s resources for clinical text processing
  • Determine which NLM resources should be used to support specific clinical nlp tasks
  • Explain NLM projects focused on clinical text processing

Organization Issues in Biomedical Informatics

  • Define the characteristics of an organization that may interact with technology implementation and use.
  • Describe unintended consequences that may occur when implementing health technology.
  • Explain strategies for meditating potential human and organizational consequences of implementing health information technology.

NLM: Strategic Directions, Tactical Investments, Sustaining Efforts

  • Envision the 21st century library
  • Describe how valuable features of the present resources can be preserved
  • Speculate on new services and new pathways to services

 

 Agenda

8:30 – 10:00am 

What is Biomedical Informatics?  William Hersh, MD     

 

10:30am – 12:00pm        

From Engagement to Autonomy: Leveraging Data and Technology to Engage on My Own Terms

Hugo Campos 

 

1:30 – 3:00pm   

Security and Privacy

Daniel Fabbri, MD           

 

3:30 – 5:00pm   

Data Management

Paul Harris, PhD               

 

7:00 – 9:00pm   

Data Management Implementation Using REDCap

Paul Harris, PhD               

 

8:30 – 10:00am 

Genetics, Genomics, and Why We Care

Donald Lindberg, MD    

 

10:30am – 12:00pm        

Precision Medicine from an Informatics Perspective

Elmer Bernstam, MD     

 

1:30 – 3:00pm   

NLM Resources

Kathy Davies, MLS          

3:30 – 5:00pm

Practical Bioinformatics for the Clinic

Eric Sayers, PhD               

 

7:00 – 9:00pm   

Exercises in Knowledge Retrieval

 Kathy Davies, MLS and Eric Sayers, PhD

 

8:30 – 10:00am 

Consumer Health Informatics

Rebecca Schnall, PhD, RN            

 

10:30 – 12:00pm              

mHealth Technology

Rebecca Schnall, PhD, RN            

7:00 – 9:00pm   

Ethical Issues Related to Research, Evaluation, Publication, and Implementation in Biomedical Informatics

Randolph Miller, MD

 

8:30 – 10:00am 

Imaging Informatics

Michael Ackerman, PhD               

 

10:30am – 12:00pm

Biomedical Data and Information Visualization

Zhiyong Lu, PhD               

 

1:30 – 3:00pm   

Using Telehealth to Increase Multi-Disciplinary Collaboration and Improve Heath Care Outcomes 

Karen Rheuban, MD

               

3:30 – 5:00pm   

Public Health Informatics

Jessica Schwind, PhD     

 

7:00 – 9:00pm   

Mathematical Modeling with Clinical Decision Support

Dmitry Kondrashov, PhD             

 

 8:30 – 10:00am

Controlled Vocabularies and Semantic Standards

Olivier Bodenreider, MD, PhD   

 

10:30am – 12:00pm        

EHRs, APIs, and Apps

Jeremy Warner, MD      

 

1:30 – 3:00pm   

Natural Language Processing Support for Clinical Tasks

Dina Demner-Fushman, MD, PhD            

 

3:30 – 5:00pm   

Organizational Issues in Biomedical Informatics

 Kim Unertl, PhD              

 

8:30 – 10:00am 

Anticipating the 3rd Century of the National Library of Medicine

Patricia Brennan, PhD, RN          




MLA CE Credits: 36.5