Data Management and Health Care Technology Flashcards
Health Information Technology (HIT) Healthit.gove 2017
HIT-the application of information processing involving both computer hardware and software that deals with the storage, retrieval, sharing, and use of hc information, data, & knowledge for communication and decision making
Data management & HC technology
A. Data standards B. Data management C. Data analysis, application, and transformation D. Hardware, software and peripherals
Metadata and semantic representation
Metadata: set of data that describes and gives information about other data (author, date created, file size) Semantic representation: relates to the meaning of language or logic. It pertains to the meaning or interpretation of a work or sign a. nomenclatures b. terminologies c. destination/final stop d. interoperability
Standardized Nomenclatures
Nomenclatures are terminologies or naming conventions (especially in science) Technical standards
Standardized Terminologies
ANA Recognized: 1. Interface terminologies a. Clinical Care Classifications (CCC) b. International Classification for Nsg Prac (ICNP) c. North Am Nursing Dx Assoc-Int’l (NANDA-I) d. Nursing interventions classification sys (NIC) e. Nursing outcomes classification sys (NOC) f. Omaha system g. PeriOperative Nursing Dataset (PNDS) h. Nursing Minimum Data Set (NMDS) I. Nursing Mgmt Minimum Data Set (NMMDS) 2. Multidisciplinary Terminologies: a. ABC Codes b. SNOMED CT c. Logistical obsv ident names & codes (LOINC) 3. Administrative Terminologies a. CPT b. ICD (9 & 10) c. HCPCS
Technical Standards
Health Level 7 (HL7) Fast Healthcare Interoperability Resources (FHIR) International Organization for Standardization (ISO)
Data Communication Standards
- Am National Standards Institute (ANSI) x12 2. Am Society for Testing Materials ( ASTM31) 3. Inst of Electrical & Electronic Engineers (IEEE) a. 802.11-1997 4. Fast Healthcare Interoperability Resources (FHIR) 5. Digital Images & Communication in Medicine (DICOM) 6. Natl Council of RX Drug Programs (NCPDP) 7. Logical Obsv Ident Names & Codes (LOINC) 8. Intl Standard Org (ISO) 9. Health Level 7 (HL&)
Data Management
Database types, integration, and data warehousing a. enterprise data warehouse (EDW) Data archiving concepts and principles Backup process Downtime and disaster recovery Patient-generated data (iWatch, fitbit etc) Cerner Millenium is example of relational database
Data Analysis, Application, Transformation
- Metastructures: data, information, knowledge, wisdom 2. Querying and reporting from databases (data mining) 3. Data analytics (Big Data) 4. Data representation 5. Patient safety, quality and risk management
Data Analysis, Application, Tansformation
Querying and reporting from databases (ex: SQL, SAS) AND OR NOT
Big Data
- Large volume of data too difficult to process using standard database techniques 2. Characteristics: volume, variety, velocity, variability 3. Analysis requires Hadoop, Mongo (not SQL)
Data Representation
Selecting appropriate depiction of the data (ex: graphs, charts, images, reports) Histograms Dashboard-real-time displays
Dashboard:
Current real-time display of key metrics
Patient Safety, Quality, Risk Management (Proactive approach)
- Core measures 2. Patient satisfaction surveys 3. Root cause analysis 4. Close call events, QSEN, TQM, Six Sigma, LEAN, Value Stream Mapping-futility/wastefullness 5. Failure Mode Effect Analysis (FMEA)
Root Cause Analysis (RCA) (Retrospective approach)
Structured retrospective method to analyze adverse events ID Underlying problems that increase the likelihood of errors Uses a systems approach
Failure Mode Effect Analysis (Proactive Approach)
* A systematic proactive method to evaluate a process to identify where and how it might fail *Aimed at prevention of tragedy *Does not require previous bad experience or close call *Makes system more robust
Hardware Overview
- Legacy Systems 2. Technical Specifications 3. Devices (biometrics, monitoring, barcode scanners, dispensing cabinets, IV pumps, auto disp cabinets) 4. Storage 5. Networks 6. Platforms 7. CPU 8. Protocols
Legacy systems
In computing, a legacy system is an old method, technology, computer system, or application program, “of, relating to, or being a previous or outdated computer system,” yet still in use. Often referencing a system as “legacy” means that it paved the way for the standards that would follow it.
Hardware-Technology Specs
- Platform (i.e. 6.0) 2. Server Designation: (i.e. File Server, Background job server, Transaction server) 3. Requirements: (i.e. 2 Ghz+ dual-core processors, 64-bit, SAN attached etc)
Hardware Device Strategy
Device types appropriate clinical scenario: Input Output Storage Wireless CPU (executes machine instructions) Communicates with I/O and storage
Hardware Input Device PRS
Personal Response System (handheld device with keypad) Used for input/voting, assessment, attendance, discussion, experimentation
Hardware-Wireless Solutions
Wireless mobile transmission of ECGs Digital visual enhancement & touch screen capabilities Automatic access to historical data Used in patient monitoring, cardiology, and OB
Output Mechanisms
Monitors Printers Microfilm/Microfiche Digital Images Magnetic Media (tape, floppy disk) Optical (CD-ROM, DVD, etc) Voice
Hardware Processor
CPU- Central processing unit: hardware brains of the computer Carries out instructions of computer program Controls of I/O operation