Health Informatics by Pascal Joseph https://padlet.com/pascoulou1/PascalinfoFNP en-us 2022-11-08 16:47:09 UTC 2026-01-04 04:28:50 UTC hello@padlet.com https://padlet.net/icons/png/1f9f8.png Week 1 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2375373589 - Health informatics is the intersection of information science, computer science, and health care.
- Two goals of it is to improve patient outcomes and safety (reduce medical errors.
- A computer data warehouse collects clinical information from a variety of different sources for future use.
- Healthcare informatics is difficult because concepts are poorly defined.]]> 2022-11-08 17:06:23 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2375373589 Week 2 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2375390896  "In 2000, the Institute of Medicine published To Err Is Human, that estimated as many as 98,000 people die in any given year from medical errors."

Below are three initiatives making sure that nurses are educated on informatics.

- QSEN: Informatics is one of the competencies
- AACN: focuses on the education of nursing.
- TIGER (HIMMS): non-profit organization focusing on better health through information technology.



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  • Standardized Terminology
    • allows for easier retrieval of data
    • allow for shared understanding across the continuum of care.
  • Interoperability
    • one of the major barriers to big data
    • Standards need to be put into place so healthcare data can be more easily shared.
    • Will save lives, time and cost.

    • ]]>     2022-11-12 20:53:11 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2381211246     pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2381211977 2022-11-12 20:55:30 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2381211977 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2381214753 2022-11-12 21:04:03 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2381214753 Week 4 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2393213285
  • Data: raw data
  • Information: Data with context
  • Knowledge: What does the information mean...
  • Wisdom: Using that knowledge to make an action towards a goal (ex. a health promotion goal).

    • The SDLC (System Development Life Cycle) is a good method to use to implement a new EHR system. Implementing a new one can be an expensive and complicated process as it affects workers, patients and many other stake holders.
    ]]>     2022-11-21 21:55:08 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2393213285     pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2393215444 2022-11-21 21:58:34 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2393215444 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2393217153 2022-11-21 22:01:37 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2393217153 Week 5 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2406279332
  • HITECH Act Provides incentives for EHR adoption
  • Currently 90% of hospitals have EHR adoption. 60% of physician office practices have adopted it.
  • Meaningful Use
    • Bucket 1. Buy a certified EHR
    • CPOE
    • e-prescribing
    • Protecting patient privacy
    • Public Health
    • Health information exchange
  • Reimbursements are available if meaningful use can be successfully achieved.
    • ]]>     2022-12-02 07:22:48 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2406279332     pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2406288307 2022-12-02 07:32:29 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2406288307 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2406289476 2022-12-02 07:33:43 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2406289476 Week 6 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2416676040 Benefits of EHRs
    • Cost
    • Access (patient and provider access)
    • Quality
    • Safety (ex. Reduction in med errors)
    • Efficiency of Care Delivery (Better continuum of care between different providers/visits).
    Clinical Decision Support
    • Order sets
    • Drug-drug, Drug-allergy interactions
    • Alerts
    Some challenges to CDS can be speed, usability and workflow and cultural change.
    ]]>     2022-12-11 08:15:06 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2416676040     CDSS https://padlet.com/pascoulou1/PascalinfoFNP/wish/2416677962 "we must stay vigilant for potential downfalls of CDSS, which range from simply not working and wasting resources, to fatiguing providers and compromising quality of patient care."]]> 2022-12-11 08:21:45 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2416677962 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2416679907 2022-12-11 08:28:47 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2416679907 Week 7 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2429528882 Health information exchange allows for separate healthcare entities and facilities to share electronic health data with each other.
    • Benefits
      • Avoid readmissions
      • Better patient care
      • Decrease duplicate orders
      • Saves money

    Metadata: set of data that describes and gives info about other data.

    Ontologies: Concepts and catogories in a subject area or domain that shows their properties and relations between them. 
    • ex: ICD (International classification of diseases)
    Sources of Data
    • EHRs
    • Reported data
    • Disease registries
    • Health surveys
    • Clinical trials 
    • Foundations (ex. KFF)
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    - Primary care and specialist referral services
    - Remote patient monitoring

    Telestroke program: Neurologists able to evaluate a patient remotely.

    Benefits
    - Convenience
    - Safe from infections

    Cons
    - Overutilization
    - Not appropriate in all cases 
    - Need proper equipment and internet]]>     2023-01-07 17:21:42 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2436426646     pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2436428174 2023-01-07 17:25:12 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2436428174 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2436430529 2023-01-07 17:30:43 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2436430529 Week 9 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2444106149 Mobile and Consumer Informatics

    Gamification: use of game thinking and game mechanics in a non-game context in order to engage users and solve problems.

    Health games research was an $8.25 million national program of the Robert Wood Johnson Foundation.  

    examples: Second Life, Build a Healthy Plate, Run Zombies and Sea Heroquest.

    Wearables such as fitbits and kokoon EEG headphones are being used more and more.]]>     2023-01-13 22:58:21 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2444106149     pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2444108113 2023-01-13 23:03:33 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2444108113 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2444108583 2023-01-13 23:04:57 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2444108583 Week 10 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2452616082 Quality and Unintended Consequences

    Swiss Cheese Model of Major Accidents/Errors
    • Alert Fatigue
    • Lack of user centered designs
    • Over-reliance on machines
    • Stressed Workforce
    • No hard stops

    Personal Health Records are records kept by patients to keep track of their health info.

    Patient Portals weave together patient/doctor electronic world.
    • Can see notes and results
    • Make appointments
    • Medication refills


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    HIPAA
    - safeguards to ensure data is not compromised and that it is used for intended purpose.
    - de-indentify data by removing 18 identifiers (name, DOB, address)

    The three As of Security
    • Authentication
    • Authorization
    • Accountability

    Healthcare Breaches
    • Healthcare data can be worth$25 to $250 on the black market.
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  • Data Mining: Processing lots of data to find new patterns
  • Text Mining: data mining to textual data.
  • Big Data adheres to variety, velocity, veracity and volume.
    • Levels of analytics
    1. Descriptive
    2. Predictive - identifying trends
    3. Prescriptive: optimizing clinical and other outcomes.
    Steps to Basic Data Analysis
    1. Ask a question
    2. Find data
    3. Visualize Date (scatterplot, excel)
    4. Clean Data (removing incorrect or duplicate data)
    5. Visualize in Detail 
    6. Draw conclusions
    7. Disseminate findings
    ]]>     2023-02-04 15:46:38 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2468509599     pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2468521630 2023-02-04 16:10:25 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2468521630 pascoulou1 https://padlet.com/pascoulou1/PascalinfoFNP/wish/2468522695 2023-02-04 16:12:30 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2468522695 Week 13 Visualizing Data https://padlet.com/pascoulou1/PascalinfoFNP/wish/2477676861 Data visualization is any effort to help people understand the significance of data by placing it in a visual context.

    The chart type and audience are important factors to consider.

    Exploratory analysis     is what you need to understand the data.

    Explanatory analysis is a specific thing you want to explain, a specific story you'd like to tell.

    Use different charts to look for patterns and relationships and draw some conclusions from the data.

    Infographic, a visual image such as a charter diagram to represent information or data.]]>     2023-02-12 07:17:43 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2477676861     https://padlet.com/pascoulou1/PascalinfoFNP/wish/2477686851 2023-02-12 07:53:23 UTC https://padlet.com/pascoulou1/PascalinfoFNP/wish/2477686851 Week 14 Legal and Ethical Issues https://padlet.com/pascoulou1/PascalinfoFNP/wish/2486023511 Ethical and legal issues often overlap 
    • Principle of autonomy
    • Principle of equality and justice
    • Principle of Beneficence
    • Principle of Non-malfeasance 
    Principles of Informatics ethics
    • Information privacy and disposition
    • Security
    • Openness
    • Access
    • Least Intrusive

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