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49 Terms
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data
observations reflecting difference in the world
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domain of computer scientists
data
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domain of informaticians
information
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information
processed data, data with meaning
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clinical data warehouse (CDW)
helps convert medical info to knowledge
- collection of aggregated data - meta data - data that describes data - took power away to do analytics from day-to-day pt EHRs - do a better job than EHRs of analyzing and reporting aggregate healthcare data
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natural language processing (NLP)
the ability of a computer system to understand spoken human language - developed to extract concepts from free text in EHRs or CDWS
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knowledge
information justifiably believed to be true
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primary data sources
patient (symptoms, reasons for seeking care) and health record (clinicians and other healthcare providers documenting)
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secondary data sources
derived from the primary data sources - registries, indices, databases
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structured data
data that are organized and easily retrievable and interpreted by tradition databases and data models - data that a computer system can act upon
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unstructured data
data that doesn't have a predefined data model or are not stored in a traditional database structure - free form, doesn't follow a structure - narrative + free text notes - 80% of the data in the EHRs
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document
handwritten notes, hand signed patient consent forms
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audio data
voice recordings, heart sounds
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video data
ultrasound, cardiac catheterization exams
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vector graph data
EKG, EEG, fetal signal tracings
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i2b2 (integrating biology and the bedside)
popular CDW by harvard - database consists of facts queried by users and dimensions that describe the facts - data model is organized around facts rather than individual patients, as would be the case for an EHR
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concept extraction
problem of identifying concepts within unstructured data
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semantics
the meaning of a word, phrase sentence, or text - makes health informatics difficult - large semantic gap, "i feel sick" varies for each patient
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we are data rich but
we are information poor but
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true
there's a gap between healthcare data and information (semantic (meaning) gap)
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data quality
the reliability and effectiveness of data for its intended uses in operations, decision making, and planning - focuses on the usability of data
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data accuracy
the extent to which the data are free of identifiable errors
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data accessibility
the level of ease and efficiency at which data are legally obtainable, within a well protected and controlled environment
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data comprehensiveness
the extent to which all required data within the entire scope are collected, documenting intended exclusions
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data consistency
the extent to which the healthcare data are reliable, identical, and reproducible by different users across applications
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data currency
the extent to which data are up-to-date; a datum value is up-to-date if it's current for a specific point in time, and it's outdated if it was current at a preceding time but incorrect later
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data defintion
the specific meaning of a healthcare-related data element
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data granularity
the level of detail at which the attributes and values of healthcare data are defined
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data precision
the degree to which measures support their purpose, closeness of 2+ measures to each other
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data relevancy
the extent to which healthcare-related data are useful for the purposes for which they were collected
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data timeliness
the availability of up-to-date data within the useful, operative, or indicated time
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data dictionary
a descriptive list of the names, definitions, and attributes of data elements to be collected in an EHR or information system
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required fields
a data capture field in which data must be entered before the EHR of information system will allow the user to proceed
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edit check
preprogrammed definition for a data field help us with consistency and accuracy, if illogical data/format entered, wouldn't allow you to advance forward
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data integrity
can be used to describe a state, a process or function - goes beyond quality, about the trustworthiness of the data
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data integrity is a...
process - verifies that data has remained unaltered measure - of the validity and fidelity function - maintains info exactly as entered
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amendments
changing previously established information - as soon as the information is amended, you have to leave a note so other members of the care team can see the consistency
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integrity and authorship
- clinical signature signifies authorship - authorship identifies origin of creation and info to a specific individual - EHR needs to allow multiple clinicians to document and sign to verify actual services provided
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copying and pasting
- some EHR systems are designed to facilitating cloning using smart phrases - can create redundancy - can result in inaccurate info in the EHR
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smart phrases
you can build your words and the system plans out what's next
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dictation errors
-important that information is accurate - organizations need processes to ensure providers review, edit, and approve dictated information in a timely manner
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patient matching
- documentation integrity is at risk when wrong info is document on wrong PHR
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receiving complaints
frequent complaints about issues with specific data entry formats, or for specific data elements, should be investigated
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observing use
watching the use of a new system, new users or when workaround are suspected
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auditing
evaluate potential issues
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evaluating output
evaluates quality of the output of a process to identify issues that may reveal data entry problems
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key to sharing data
data quality, integrity and provenance
- policies and procedures are critical
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data provenance
a type of administrative data that represents the historical record of data and its origins, including where the data originated and where data may have moved between databases
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who owns your health data?
- patient owns their information - patient has the right to access that information - provider is the custodian of the healthcare record, they're responsible for it - HCP can only use information with patient's permission