a MCPHS- Informatics- Mid-term Review

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Health information literacy is a combination of   Information literacy, Computer literacy, Application of professional knowledge  
Information literacy is the ability to   Identify, Locate, Evaluate and Apply pertinent information  
Computer literacy is ability to acquire and apply a basic understanding of   Computer hardware systems and software applications  
4 Steps r/t Cognitive approach to information-seeking   1-Need is identified, 2-Creation of Needs Statement, 3-Information is retrieved using Terms, 4-Information is organized  
Strategies are techniques used for   Search and investigation  
Strategies must be   Fluid and flexible  
Static information remains the same after   Publication  
Static information is often used for   Overviews, Backgrounds, Historical perspective  
Problems r/t Textword searching   Lack of percision, Terms may not be r/t desired content, Mass retrieval in multiple entries, Difficulty narrowing  
Most commonly used controlled vocab in health care   Medical Subject Headings(MeSH)  
Use of symbols to represent letters   Truncation  
Boolean operators   Combine terms in searching  
Most commonly used Boolean operators   And, Or, Not  
Require consideration r/t Evaluation   Credibility, Bias, Accuracy, Currency, Relevance, Significance, Intended audience, Usability  
3 kinds of knowledge r/t Computer literacy   Foundational concepts of how technology works, Skills using computer applications, Ability to apply knowledge and adapt to change  
2 types of memory essential for CPU   ROM, RAM  
ROM vs. RAM   ROM cannot be changed, RAM doesn't permanently store data  
RAM function   Working part that can be written and read  
Measures memory, storage capacity and file size   Byte  
Byte r/t Bits   1 byte=8 bits  
Examples r/t Optical storage   CD-ROM, DVD  
DVD-ROM vs. DVD-R vs. DVD-RAM   ROM:read only, R:write once, RAM:rewritable  
Examples r/t Input devices   Alphanumeric/function entry, Voice entry, Image entry  
Examples r/t Output devices   Monitor, Printer, Speaker  
Connectivity facilitates   Resource sharing & communication  
Software   Set of instruction written in a structured programming language  
Operating systems control   Functioning of a computer  
Link b/w hardware and software   Operating system  
Program whose source code can be downloaded for free   Open source software  
Reason software applications are developed   Perform specific tasks w/particular operating system  
WYSIWYG   What You See Is What You Get  
Technique used to identify and rank basic IT skills needs by nurses r/t nursing education   Delphi Technique  
Database   Structure collection of individual data elements  
Program used to manage, organize and retrieve data from a database   Database Management System(DBMS)  
Hierarchical database r/t Design   Contains many levels  
Many of older DBMS programs were developed using   Hierarchical databases  
Characteristics r/t Hierarchical databases   Limitations w/large data sets, Used for one-to-one relationships, Measure qualitative data  
Solved redundancy problems r/t hierarchical models   Network databases  
Characteristics r/t Network databases   Records linked together by pointers that use a key piece of data  
Relational databases consist of   Several tables  
Relational databases r/t Ease of usage   Users need to only know name of table to locate data  
Fields vs. Records vs. Tables   F:vertical columns of database, R:horizontal rows of database, T:consists of all records  
Tables r/t Records r/t Fields   T:consist of records, R:consist of fields, F:consists of smallest entity necessary to obtain meaning  
Label at the head of a column   Field name  
Querying   Process of selecting desired records  
Algorithim   Set of rules to follow that are inclusive of all cases  
Basis r/t Forms and reports   Results of data manipulation  
2 Types r/t Data manipulation   Sorting data, Querying data, Both are dependent on structure of data & entries in fields  
Sorting   Reordering records  
Primary vs. Secondary vs. Tertiary sorting   Primary is broadest and then narroms  
Can be used to perform calculations on data in specified fields   Query  
Underlying logic r/t Queries   Boolean arithmetic  
Reduction of all decisions r/t Boolean logic   Decisions are reduced to true or false  
And vs. Or vs. Not r/t Boolean logic   A:narrows search, O:broadens search, N:further define criteria and narrow search  
Wildcard symbols   Greater than(>), Less than(<)  
Heart of any database   Table  
Table consists of   Data organized into fields(vertical) and records(horizontal)  
Database consisting of a single table   Flat database  
Relational database   2 or more tables related by unique identifiers  
Unique identifier synonym   Key field  
List of all tables in a database   Data dictionary  
Size of database r/t Necessity of a quickly referenced data dictionary   As a database becomes large, imperative to maintain quickly referenced data dictionary  
2 Types of Decision Support Systems(DSS) in health care   Administrative & clinical  
Agency relationship vs. Maximally effect care vs. Optimally effect care   A:decisions made to ensure welfare of Pt and family, M:max improvement in health regardless of cost, O:improvement in health at point w/the greatest difference b/w benefits and costs of care  
5 Themes that shape health care paradigm   Mandates to measure and quantify services, Financial pressures from increased demand for services, Pressure to recruit and retain health care workers, Management of workload, Efforts to reduce variation in practice  
Forecasting   Knowledge about past should improve ability to estimate what will happen in future  
Decision analysis is making the best possible decision based on   Information available  
3 Steps r/t Decisions   Consider feasible alternatives, Identify positive states of nature, Construct payoff table  
Maximax criterion vs. Maximin criterion vs. Minimax criterion   Maximax:choose alternative w/"best of best" payoff, Maximin:choose alternative w/"best of worst" payoff, Minimax:assess opportunity costs w/each decision  
Criterion of realism vs. Expected value criterion   Realism:weighted average for each alternative w/coefficients of 0 or 1, Expected:weighted average of each alternative  
Maximum likelihood criterion vs. Criterion of rationality   Max:decision w/highest probability and alternative w/highest payoff, Rat:all decisions are equally likely  
Simplest inventory model   Economic order quantity model, Balances ordering costs vs. costs of maintaining iventory to optimize ordering quantity  
Linear programming determines   Best consumption of resources to meet objective  
Simulation   Imitation of system to evaluate and improve system performance  
Advantages vs. Disadvantages r/t Spreadsheets   A:embedded formula/functions and optimization capabilities, D:people are unfamiliar w/advanced spreadsheet applications  
Data manipulation language allows non-programmers to   Perform variety of operations on data  
Query language is usage   Directly interact w/database and pose conditions for retrieval  
Clinical data repository vs. Data warehouse   C:real-time retrieval and queries, D:works retrospectively  
Data marts are sorted by   Specific subject of data to support a specific function  
4 Categories of clinical decision support facilitated by the computer   Assist provider in making decisions, Provide alerts, Provide guidance to alter care, Support quality assurance activities  
Electronic data interchange allows linked computers to conduct   Business transactions  
Geographical information system   System capable of assembling, storing, manipulating and displaying geographically referenced material  
Production jobs are used to perform   Data-processing  
System development/Project management function   Selection & installation of new computer systems  
IT departments r/t Shift to off-site vendors   Systems development/Project management, Network  
Application support function   Assist users w/application functionality  
Support function vs. Systems administration r/t Function   Support:help desk, Systems:operating systems management & IS security  
Primary leadership role r/t IS department   Chief information officer  
Division of time r/t Manager   Time spent w/staff vs. Time spent w/system users  
Supervisor performs hands-on functions with   Staff members they supervise  
Telecommunications operator vs. Telecommunications technician   O:manages switchboard, T:support for equipment  
Responsible for creating lasting impression of organization   Telecommunications operator  
Systems analyst role   Bridge technology gap b/w specific application and knowledge that applies for the business function of that application  
Consultant services are acquired by this method, Contract basis   (blank)  
Mainframe computers vs. Mid-range computers   Mainframe:run large health care organization's core applications & rely upon proprietary operating systems, Mid-range:run medium-smaller organization's core applications & support specialized software w/large health care organizations  
Workstations vs. Portable computers   W:support staff members for local & remote functions, P:document Pt information at point of care  
Peripherals r/t Technology infrastructure   Input & output devices  
Primary clients r/t IS departments   Internal staff of a health care organization  
Variation r/t Characteristics of IS departments   Depend upon type of organization  
Community hospital vs. Teaching hospital r/t IS departments   C:find solutions w/limited resources, T:find solutions w/cutting-edge technology  
Setting in which most IS advancements occur   Teaching hospitals  
Inteface engine function   Ensure messages b/w systems are communicated effictively & reliably  
Health care systems r/t IS department formation   Formed after merger of serveral independent organizations  
IS support r/t Smaller health care settings   Usually outsourced  
Clinical decision support system(CDSS)function   Automated decision support system that mimics human decision  
Problem-solving/Decision-making conditions   Stress, Cognitive overload, Uncertainty, Increasing levels of scrutiny  
Causes development of Knowledge-based systems   Challenges facing clinical decision-making  
Knowledge-based system are used to enhanced   Human abilities during health-related conditions  
Conditions r/t CDSS acceptance resistance   Narrowness of scope, Mistrust of clinical decisions, Inability to incorporate new discoveries, Nonportability to other systems, Lack of integration w/exitsting systems  
Classic view vs. Knowledge-based view r/t Decision-making   C:focus on analysis of alternatives, K:knowledge is generated every time a decision is made  
Stuctured vs. Unstructured vs. Semistructured decision-making   Structured:routine decisions are made using established guidelines & static rules, U:highly unique decisions are made in emergent situations in which alternatives are unknown, Semi:some background information is known  
Common decision-making process r/t Health care   Semistructured  
Knowledge r/t Decision-making   New knowledge is created OR old knowlege is altered/discarded  
Descriptive vs. Procedural knowledge   D:description of some kind, P:how-to/step-by-step procedure  
Methods r/t Gaining procedural knowledge   Observation, Learning, Experience  
Examples r/t Descriptive knowledge   Past, Present, Future, What if's  
Reasoning vs. Inferencing   R:assists in drawing a conclusion, I:drawing conclusions from evidence  
Reasoning vs. Inferencing r/t Basis   R:product of experience & exposure, I:based on probabilities  
2 Formats that assist w/standardizing interface b/w CDSS & other systems   Arden syntax, Guideline interchange format  
Arden syntax is a way to share   Medical knowledge in a manner that can be utilized by a computer  
Intelligent agents ability   Autonomously accomplish a task  
Indication r/t Future size of data warehouses   Human Genome Project  
Data mining allows understanding of patterns in   Data  
Process r/t Knowledge discover in large data sets   Identify problem, Obtain data set, Preprocess the data, Apply algorithm, Interpret findings  
Trending data is collected   Over time  
Backbone of most health iformation systems   Admission, discharge and transfer(ADT)  
Functions r/t Admission, discharge and transfer   Collect, store & track Pt information from admission to discharge  
Interface is exchange of information b/w   Systems  
Interface avoids   Redundant data entry  
Advantage r/t Best of breed   Increase each system's robustness w/data entered into other systems & reported in all connected systems  
Data integration accomplishment   Accomplished by interfacing many information systems together  
Clinical data repository is a single database that captures   Information from numerous systems  
Allows one person to find, access or enter data at the same time   Automation  
End user   Person who uses components of a system  
4 Perspectives r/t Health care information systems   Clinical, Enterprise, Technical, Client  
3 Paths r/t Input   User enters data, Transfer of data from interfaced systems, Automatic data transfer from other systems  
Networks allow data & files to be shared regardless of   Location  
Point-of-service vs. Point-of-care   POS:device is located where information is required/collected, POC:data entered at bedside  
System architecture ensures   Efficient/effective access to data  
Data archive vs. Data purging   A:how long data is kept , P:what should be deleted  
Core component r/t eHealth   Electronic health record  
Any information r/t individual which resides in an electronic system for the primary purpose of providing health care   Electronic health record  
Electronic health records constantly change d/t   New technology  
Core idea r/t Electronic health records   Availability on demand anywhere data are needed w/sufficient detail  
Problems r/t Paper-based records   Only one person can access at a time, Illegible handwriting, Security/confidentiality breaches, Removed/lost sections  
Setup standards and precedence r/t Electronic health records   Institute of Medicine(IOM)  
Advantages r/t Electronic health reports   Improved quality of provided health care, More complete, Better organization, Legible information, Discrete storage  
Downfall r/t Websites offering personal electronic health records   Privacy  
Functions implemented via internet   Remote access, Access to multiple information systems, Direct Pt access  
Standardization of terms in naming data elements allows   Consistency, Validity  
Every acute care hospital uses   Uniform hospital discharge data sets as a summary of Pt's hospital experience  
Classifications vs. Vocabularies vs. Nomenclatures   C:grouping similar items together, V:list of standard terms w/specific definitions, N:systematic listing of the proper names of a particular area of interest  
Privacy vs. Confidentiality   P:Pt has right to decide what info they will disclose, C:disclosed info will not be shared w/out permission  
Properly designed electronic health record systems r/t Security   Can be more secure than paper systems  
Most important element r/t Electronic health record security   Human element  
Consumer shift r/t Electronic health record   Individual responsibility for health  
3 Dimensions of performance   Access, Integrity, Availability  
Access is the ability to obtain   Data and information for specific purposes  
Security r/t Access   Measures organizations implement to protect information and systems  
Integrity ensures   The completeness and accuracy of data and information, Protection of data and information from processes that would invalidate them  
Threats r/t Data integrity   Accidental entry of incorrect data, Unauthorized access  
Availability is the ability to   Access data and information appropriate to their authorization level  
Basis r/t Ensuring that data is reliably and readily available   Storage capabilities, Media life expectancies  
Definition of health record in 2010   Record is maintained by multiple providers and shared when necessary  
What we can expect r/t Virtual health records   Improvement of care, Reduction of medical errors, Reduction of administrative costs  
Past vs. Present r/t Ownership of health information   Past:hospital-owned material, Present:Pt has right to control use of their private health information  
DNA & Human Genome Project r/t Pt privacy   Provides tools to look specifically at generations of a family and predict future health conditions accurately  
HIPAA   Health Insurance Portability and Accountability Act of 1996  
HIPAA provides   Standards and a regulatory framework, Mandate that HCP must obtain Pt consent before sharing their information  
Application of a signature to a document by electronic means   Electronic signature  
Health care informatics necessities   Knowledgeable of vulnerabilities, Develop plan for information management and protection, Integrity of data, Efficient availability processes  


   

 
 

 
 

 

 

 
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