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a MCPHS- Informatics- Mid-term Review

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