Medical Informatics Overview
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Questions and Answers

What is the first step in the Diagnostic-Therapeutic cycle?

  • Diagnosis/Assessment
  • Data Collection (correct)
  • Planning
  • Decision Making
  • At which level of complexity does human reliance on computer involvement begin to significantly increase?

  • Communication and Telematics
  • Diagnosis and Decision Making (correct)
  • Storage and Retrieval
  • Processing and Automation
  • Which branch does Nursing Informatics emerge from?

  • Medical Informatics (correct)
  • Health Informatics
  • Clinical Informatics
  • Public Health Informatics
  • Which of the following is NOT an aspect of the medical informatics fields?

    <p>Research and Development</p> Signup and view all the answers

    What best describes the focus of traditional medical informatics?

    <p>Provider oriented medicine</p> Signup and view all the answers

    Which area branches directly from Medical Informatics?

    <p>Bioinformatics</p> Signup and view all the answers

    Which of the following branches from the left side of the medical informatics fields diagram?

    <p>Provider oriented Medical informatics</p> Signup and view all the answers

    What is the primary focus of Biomedical Informatics?

    <p>Integration of information technology into biomedical science</p> Signup and view all the answers

    Which of the following best describes Public Health Informatics?

    <p>The systematic application of information to support public health practices.</p> Signup and view all the answers

    Which task is NOT a major responsibility of Public Health Informatics?

    <p>Direct monetary compensation for healthcare providers</p> Signup and view all the answers

    What is the main purpose of Nursing Informatics?

    <p>To support nursing through information systems and data management</p> Signup and view all the answers

    Dental Informatics primarily aims to improve which of the following?

    <p>Efficiency and effectiveness in dental practice</p> Signup and view all the answers

    Which statement accurately describes Bioinformatics?

    <p>It utilizes various scientific techniques to solve complex biological problems.</p> Signup and view all the answers

    What aspect does Medical Cybernetics primarily address?

    <p>Applying cybernetics concepts to medical research and practice</p> Signup and view all the answers

    Which of the following components is NOT part of the definition of Nursing Informatics?

    <p>Use of robotic systems in patient care</p> Signup and view all the answers

    Which area is NOT recognized as a field of Medical Informatics?

    <p>Environmental informatics</p> Signup and view all the answers

    According to the definition, what does Medical Informatics involve?

    <p>Theoretical and practical aspects of information processing based on medical knowledge</p> Signup and view all the answers

    How does Medical Informatics facilitate patient data management?

    <p>Through methods and systems for data acquisition and interpretation</p> Signup and view all the answers

    Which statement accurately describes the intersection of Medical Informatics?

    <p>It intersects information science, computer science, and healthcare.</p> Signup and view all the answers

    What is a significant aspect of Biomedical Informatics?

    <p>Integrating biology with data science and information technology</p> Signup and view all the answers

    What discipline is considered a sub-field of Medical Informatics?

    <p>Bioinformatics</p> Signup and view all the answers

    Which area of Medical Informatics specifically addresses public health?

    <p>Public health informatics</p> Signup and view all the answers

    Study Notes

    Medical Informatics Basics

    • Medical informatics is a field encompassing electronic medical records, telemedicine, information retrieval, image processing, analysis, bioinformatics, and evaluation methodologies.
    • Outcomes research studies the effectiveness of healthcare using large datasets and advanced technologies.
    • Medical informatics focuses on healthcare, including electronic medical records, information retrieval, medical decision-making, telemedicine, clinician information needs, artificial intelligence, and outcomes research.

    Islands of Information in Hospitals

    • Medical history
    • Order processing
    • Blood bank
    • Lab tests
    • Pharmacy
    • Admissions, discharges, transfers (ADT)
    • Vital signs
    • Transplant units
    • Physical therapy
    • Dietary
    • Intensive care units (ICUs)
    • Radiology, cardiology, nuclear medicine
    • Outpatient clinics
    • Surgery
    • Billing (insurance, HMO, government)
    • Scheduling (residents, rooms, equipment)
    • Research support

    Best of Breed Approach

    • Each functional area (department or lab) prefers its own dedicated system.
    • For example, SunQuest for lab testing and MediPac for ADT.
    • This approach creates systems that are not easily interoperable.
    • IT departments need to integrate data from different systems.

    Integrated Medical Information

    • Patient medical records should contain all relevant medical data.
    • Patient medical records should be accessible to healthcare workers anywhere, anytime.
    • Data must be digitized.
    • A multimedia-capable database is needed.

    Integrated Medical Information (Continued)

    • Access should be limited to the data needed by the healthcare worker.
    • Systems need to correlate data from various sources (e.g., symptoms, tests, diagnoses, family history).
    • Data should be presented in a format that is understandable by healthcare workers.
    • Healthcare worker needs should be prioritized over particular functions or departments.
    • Patient privacy must be protected.
    • Patients should be able to carry their medical records.

    Medical Archive (Data Mining Source)

    • Medical records feed into a medical archive database.
    • The archive database is used for medical research.
    • The database uses information retrieval, artificial intelligence, medical diagnosis support, and survival intelligence.

    Medical Archive Record System (MARS)

    • The University of Pittsburgh Medical Center's MARS system collects data from all departments.
    • Image data is stored in separate databases.
    • Each department tags its data elements.
    • MARS provides metadata describing the data from each source.

    MARS (Continued)

    • Data storage is in text format for flexibility in searching.
    • All patient data is accessible at all times.
    • MARS acts as a data warehouse for research.
    • Images (e.g., X-rays, sonograms) are stored and referenced.
    • Full text of reports are maintained.

    To Do List

    • A feature to track tasks and status.
    • Reduce prescription refill time by using pre-built prescription codes or previous prescriptions.
    • Track patient history.
    • Document patient encounters with pre-built templates and codes.
    • Reduce record search time.
    • Import patient pictures into charts.
    • Ancillary reports storage.
    • Customize patient information reports.

    Phone Message Section

    • The section is used to record encounters that aren't in the clinic.
    • The tabulatory format allows for easy record review of vital signs.
    • The system provides instant charting for time-relevant data.
    • ASCII or RTF formatted reports can be imported into the chart.
    • Track all relevant demographics.
    • Documentation templates.

    Patient Education Handouts

    • Ensure patient handouts provide needed information.
    • Pre-built codes speed data entry.
    • Voice recognition software reduces typing effort.

    Critical Design Factors

    • Unique patient identifiers never change.
    • Unique identifiers for every healthcare worker.
    • Unique identifiers for every product (e.g., blood products, X-rays).
    • Unique identifiers for every service (e.g., transfusions, physical therapy).

    AI in Medical Informatics

    • Problem-knowledge couplers collect patient information about a medical condition and link it to a knowledge database to produce recommendations based on medical findings.

    Medical Couplers

    • Screening couplers (e.g., wellness, physical examination, medical history) discover medical problems.
    • Diagnostic couplers (e.g., chest pain, knee problems) determine medical problem causes.
    • Management couplers (e.g., asthma, hypertension, diabetes) manage known medical problems.

    Telemedicine

    • Home telemedicine manages diabetes in elderly patients in medically underserved areas.
    • Informatics research includes logistics, user interfaces, patient education, security, and videoconferencing.

    Discovering Knowledge

    • Machine learning and visualization are methods for knowledge discovery in large databases.
    • Research focuses on improving existing discovery methods for clinical data.
    • Important issues include training set size, data accuracy, data completeness, and data representation.

    Patient Access to Medical Records

    • Patient access to medical records is expected due to federal regulations.
    • Little is known about patient comprehension or how access will impact the patient-caregiver relationship.

    Reducing Medical Errors

    • Two common causes of medical errors: inadequate access to information and ineffective communication.
    • Reduce errors by linking patient data to online resources, using virtual whiteboards for coordination, and deploying on wireless handheld platforms.

    Medical Decision Making

    • Nurses use different problem-structuring and knowledge-structuring principles than physicians for medical decision-making, according to a University of Utah study.

    Nursing Informatics

    • Data and information are symbolic representations of nursing phenomena.
    • Expertise in problem structuring is specific to nursing.
    • Algorithms and heuristics for nursing domain problems are specific to the field.

    Critical Design Factors (Continued)

    • Interfaces need to be tailored to healthcare personnel (e.g., physicians, nurses, pharmacists, radiologists, lab techs).
    • Minimize keying errors by using scanning technologies (e.g., bar codes, optical character recognition).
    • Date and time should be stamped on every data entry.

    Critical Design Factors (Continued)

    • Support for multimedia data objects (e.g., X-rays, sonograms, strip charts, voice, numeric results, text).
    • Support for automated and manual indexing of optical and voice data.
    • Support for searching across medical records and finding patterns.

    Critical Design Factors (Continued)

    • Drug interaction verification.
    • High-speed access and presentation.
    • Remote and mobile archive and ICU monitoring data access.
    • Utilize colors for test results (safe/negative – green, caution/borderline – yellow, positive/danger – red).

    Critical Design Factors (Continued)

    • Standardized statistical analysis (BMDP).
    • Graphing capabilities.
    • Report writing templates from medical test results (converting phrases to paragraphs).
    • Text-to-voice and voice-to-voice telephone systems.

    Critical Design Factors (Continued)

    • Visualization techniques for large datasets.
    • Online help for every data element (units, conversions, etc.).
    • Data tracking for security, privacy, and utilization purposes.
    • Fault-tolerant systems (non-MUMPS software).

    Visualization of Multiple Characteristics

    • Diagrams show relationships between patient characteristics (e.g., sex, age, economic status, weight, blood pressure).

    Technologies Required

    • High-speed computers.
    • Large primary memory.
    • Massive and fast storage devices.
    • High-resolution graphical devices.
    • Digital imaging (X-rays, sonograms).
    • High-speed networks.
    • Mobile and handheld devices.
    • Data scanning technologies (e.g., bar codes, OCR).
    • Voice processing hardware.

    Technologies Required (Continued)

    • Database management systems.
    • Graphical software.
    • Information retrieval software.
    • Artificial intelligence software.
    • Voice recognition and text-to-speech software.
    • Decision support software.
    • Statistical analysis software.
    • Application-specific software.
    • Fault-tolerant systems.

    Basic Questions

    • Medical informatics definition.
    • Medical informatics as a scientific area.
    • Medical informatics areas.
    • Aspects of the medical informatics field.
    • Clinical informatics.
    • Biomedical informatics.
    • Bioinformatics.
    • Public health informatics.
    • Nursing informatics.
    • Dental informatics.
    • Medical cybernetics.
    • Information systems examples.

    ### 1. Medical Informatics (A-C)

    • Medical information science uses tools to develop procedures for management, process control, decision-making, and scientific analysis of medical knowledge.
    • Medical informatics includes theoretical and practical aspects of information processing and communication.
    • In medical informatics, methods and systems are developed and assessed for acquiring, processing, and interpreting patient data to support scientific research.

    ### 1. Medical Informatics (D)

    • Medical informatics is an intersection of information science, computer science, and healthcare using resources, tools, and methods for optimal information acquisition, storage, retrieval, and use in healthcare and biomedicine.

    1. Informatics

    • Informatics is a broad field encompassing human-computer interaction, information science, information technology, algorithms, and social science.
    • Computer science involves studying and building complex systems using applied mathematics, electrical engineering, and software engineering.
    • Information science studies the processing, management, and retrieval of information.
    • Information technology supports, manages, develops, and implements computer-based information systems.

    2. Diagnostic-Therapeutic Cycle

    • Data collection gathers patient history, physical examination results, and lab tests.
    • Decision-making processes analyze the collected information.
    • Planning involves developing a therapy plan.
    • Diagnosis/assessment uses the collected data for diagnosis.

    2. Levels of Automated Support

    • Levels of automated support range from fundamental communication and telematics (level 1) to advanced research and development (level 6), with increasing levels of complexity and human involvement.

    3. Examples of Medical Informatics Areas

    • Medical informatics encompasses various fields, including clinical informatics, biomedical informatics, bioinformatics, and public health informatics. These subfields, along with veterinary, nursing, and other specialized informatics, are all grouped under the larger umbrella of health informatics.

    4. Aspects of the Medical Informatics Fields

    • Different fields within medical informatics address various aspects of healthcare, from traditional practices to the new information age. This encompasses cybermedicine, telemedicine, ambulatory medicine, self-care, and assisted care, with subspecialties addressing public health, consumer needs, and provider-oriented practices across different healthcare settings (e.g., hospitals, clinics).

    5. Clinical Informatics

    • Clinical informatics focuses on the application of information sciences, computer sciences, and clinical sciences. It aims to assist in the data management and process of creating information and knowledge to help the delivery of clinical care.

    6. Biomedical Informatics

    • Biomedical informatics studies the application of information technology, computer science, decision-making, problem-solving, cognitive science, standards, policies and human behaviours to advance biomedical sciences, medicine, and healthcare.

    7. Bioinformatics

    • Bioinformatics uses mathematics, informatics, statistics, computer science, artificial intelligence, chemistry, and biochemistry to address biological problems, typically those at the molecular level.

    8. Public Health Informatics

    • Public health informatics combines information and computer sciences with public health practices to improve research, learning, and public health in general. Key tasks involve collecting, storing, and analyzing public health data.

    9. Nursing Informatics (A and B)

    • Nursing informatics is a specialty of health informatics supporting nursing through information systems. It involves the delivery, documentation, administration, and evaluation of patient care and disease prevention (A). Nursing informatics integrates nursing science, computer sciences, and information sciences to manage and communicate data, information, and knowledge in practice (B).

    10. Dental Informatics

    • Dental informatics applies computer and information science to improve dental practices, research, education, and management. It's a subset of medical and biomedical informatics, boosting efficiency and effectiveness in areas like administration, clinical care, charting, and patient education.

    11. Medical Cybernetics

    • Medical cybernetics uses cybernetics principles to address medical research and practice issues. Topics include systems theory for physiological dynamics, medical information and communication theories, connectionism in neural networks, and medical decision theory.

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    Health Informatics Final PDF

    Description

    Explore the fundamentals of medical informatics, including electronic medical records, telemedicine, and decision-making processes. This quiz covers various aspects such as outcomes research and the organization of healthcare information within hospitals. Test your understanding of how technology enhances patient care and healthcare delivery.

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