Systems Acquisition

  • Common deciding factor: COST
  • book says best picks are: licensing, ASP, users

In-House development

  • have skilled IT developers in your own organization, make what you need
  • Pros: possibly cheaper, good use of resources, inside knowledge, customized, strategic advantage, technology works for you not other way around
  • Cons: long time to build, depletes up resources, compatibility lower, management is tough

Outsourcing

  • Commission development to other org
  • Hire services of other company
  • Custom designed apps
    • good fit to need, smooth interface, strategic advantage
    • more expensive, long wait, limited interface other systems, IT personnel constantly in use
    • loss of control, loss of experienced employees, may lose competitive advantage

Licensing

  • Purchased software usually licensed
    • inexpensive office helpers
    • ERP Enterprise level applications
    • renting vs buying software
  • Pros: immediate availability, high quality, low price, support options
  • Cons: loose fit of needs and features, modification difficult, vendor bankruptcy, vendor employee turnover
  • look for in vendor: quality/reliability, product performance, after-sale service and support, trustworthiness, price/performance, ease of doing business, stanards support, openness of strategies and plans, financial stability

Steps in licensing ready-made software

  1. identify problem or opportunity
  2. identify potential vendors
  3. RFI Request For Information: request informal info about product
  4. requirement definitions
  5. RFP Request for Proposal: specify system reqs
  6. review proposals and screen
  7. site visit

Responsibilities

  1. Benchmarking quantify performance
  2. negotiate contract
  3. implement new system
  4. maintain system / support

Application Service Provider (ASP) (SaaS)

  • org that offers software hosted and run by the vendor
  • Software as a Service (SaaS): often on the web, interfaced with webpages
  • Pros: no need to maintain, no startup fee, no local hardware, available sooner, good for small companies
  • Cons: lack of control, slow transaction response times, security risks higher, scope of services, reliability

User Application Development

  • non-programming users write their own applications
  • small, simple, maintainable, spreadsheets, access
  • develop this way if: users have the skill, app is small, needed soon, can be maintained by users
  • Pros: shortened lead times, good fit to needs, efficient resources, free up IT staff
  • Cons: support is low, compatibility is low, access to it and security is at risk, poorly developed, duplication, poor documentation

Research analysis - Project 3

Classification Language

  • ‘term’ is a group of words having a particular meaning.
  • ‘concept’ is an idea, operationally the parent node of some children.
  • ‘hierarchy’ is an organization with one concept at the top and with several concepts below each other concept.
  • ‘facet’ is any of the definable aspects of a concept, and operationally, is used to refer to the children of the root node of the classification.

Query

  • Allows one to filter or narrow down results on a search; often operational logic is used (if, and, or, not)
  • ( ( investm*<in>metadata ) <or> ( financ*<in>metadata ) ) <and> (pyr >= 2001 <and> pyr <= 2004)
    • pyr = publication year
    • * = wild card

Thesaurus

  • Hierarchical ‘visualization’ of concept, and facets.

Indexing

  • Assigning categorization from thesauraus
  • Decide, based on content, what concept and facet a piece of information belongs to
    • if an article primarily described a concept1 (in facet1) but secondarily described concept2 (in facet1), then the article was assigned concept1.
    • When an article equally addressed multiple concepts in facet1, then the lowest, common ancestor of those concepts was assigned

Decision Support Systems

vs Expert systems

  • Success depends on quality of decisions, large amts of info, lots of processing
  • expert systems in combo provide optimal solutions

Decision making process

  • Intelligence phase: collect info
  • Design phase: methods designed
  • Choice phase: select from alternatives
  • Model: representation of reality
  • Data: manipulate into higher level abstractions where you can predict future outcomes

Structured and Unstructured problems

  • Structured problem: optimal solution can be reached, algorithm to solve, clear cut
    • Algorithm: sequence of steps
    • Parameters: categories of data considered in algorithm
  • Unstructured Problem: no algorithm to follow
    • not clear sequence of steps
    • many factors

Decision Supprt System (DSS)

  • Helps select solution, reduces costs, increases profit, enhances product quality

Data management module

  • provides data for intelligence phase
  • database, select by criteria
  • data warehouses, marts, ERP systems

Model management module

  • data into useful information
  • fixed, dynamic, or collection
  • patterns of behavior useful, usually based on mathematical equations
  • uses: truck routing, store placement, ticket pricing, linear regression (putting line to data)

Dialog module

  • user interaction
  • user interface, sometimes on internet
  • results: textual, tabular, graphical
  • ComputstatDB Module, Research Insight Dialogue Modules

Sensitivity Analysis

  • “what if analysis”, parameters effect outcomes differently, outcomes effected by more than one parameter
  • can perform on multiple parameters simultaneously
  • operations analysis or mathematical optimality used here??

Expert systems

  • from expert who has knowledge
    • working towards automation of portraying this expertise
    • makes decision, available to novices, part of AI research, specific area of knowledge
  • Knowledge base: used by ES
    • facts and relationships among them
    • IF-THEN rules
  • Inference Engine: combine user input w/ data relationships
    • A → B → C
  • Neural networks: mimic human brain learning
    • roles with weights and parameters (neurons and receptors and firing)
    • refines intself based on decision success rate

Geographic IS (GIS)

  • decision aid for map-related decisions, data on maps by physical region
  • lots of online resources, google maps, etc

Grading Decision Support Scenarios

Healthcare IS

  • HealthCare 20% of GNP
  • Health IS vs management IS, specialized vs general, clinical & health vs general mgmt
  • Healthcare subsystems
    • Middle-Income Families
    • Poor Families
    • Military
    • Veterans

Challenges, Requirements, and Design

  • Rising costs, inflation
  • Medical errors
  • Success case analysis
    • understand relationships and interdependencies
    • consideration of heterogeneous user groups
    • initiate infrastructure developments
    • graphical representations, flow diagrams, cooperation picture, purpose table (activity vs purpose)
    • work with users closely: what, why, show description, mutually agree

Provider, Payer, Transactions

Components

Admin systems

  • patient accounting, scheduling, finance, and strategic ISs

Patient Management

  • admission, medical record, order entry
  • medical record IMPORTANT: attribute-value pair.
    • Patient ID, attribute, value, time taken
    • chronologically ordered, historically
    • problem-oriented order, modern
  • order entry: action that needs to take place, get prescription, have nurse check patient hrly, etc
    • Computerized physician order entry CPOE
    • Leapfrog group - promote computerized medical systems, standards, etc
      • req participating hospitals to enter meds into computer sys with error prediction
      • reduce 50% of prescribing problems
      • physicians read all override directions

Clincal Support

  • pathology
  • pharmacy
  • radiology

Payer

Health Plans

  • indemnity - choice of doctor, send bill to insurance; ppo is HMO + choice
  • health maintenance - HMO, pre-arranged fee, in-network of providers
  • government - medicare medicaid, military, vets

Basic Operations

  • CMS Centers for Medicare/aid Services
  • BCBS BlueCrossBlueShield
  • BCBS has more control over who is enrolled

Compliance, Fraud, Privacy

Compliance

  • Brits imposed more regulations originally
  • followed by control of business operations by govt during industrial rev
  • followed by corporate internal controls in 1960’s
  • Wiley got businesses to join anti-business rules by offering self-serving interests:
    • would eliminate competitors in patent med business - pharmaceutical manufacterer assoc.
    • increase monopoly on disease treatment - AMA
  • HIPAA provided codification, standards, modularization req’s
  • compliance within corporations
    • mgmt commitment
    • education
    • implementation
    • control

Fraud

  • #1 white collar crime is health fraud
  • intentional misrepresentation
  • false claims act - whistleblower to tell on bad transactions, normal citizen
  • coding of ailment types is to be standardized, but can be abused
  • fraud detection software

Privacy

  • HIPAA privacy rule - came from standardized claims process. they knew digital claims = more acccessibility
  • Notice of Privacy practices - health plans provide notice
  • Uses and disclosures
    • Min Necessary Standard - who gets what access. dont need it all
    • Business Associate - contract w/ other business associates to follow same laws
    • De-identification - DB record hiding
    • Psychotherapy - exception, kept separately
  • Access to information - pereson has a right to his or her medical record; can charge a handling/copy fee only
  • Administration - training, documented that you are compliant

Personnel and Vendors

Personnel

Patterns

  • Dramatic growth in number of health related jobs - from 1 per 186 in 1910 to 1 per 25 in 2000
  • growth of allied health professionals (supporting people)

Physicians

  • leader of health care team, independant

IT Staff

  • bigger the system, higher the cost
  • 24/7 hours
  • operations, and general support

CIO

  • develops an IS vision for the org
  • trend is to have medical AND technical CIO
  • reports to CEO often
  • stories: business expertise is common link

Salaries

  • higher than mine

Business Intelligence

Security

 
personal/school/financialitsystems_is601/quiz3_cheatsheet.txt · Last modified: 12.18.2007 02:46 by 69.140.134.101
 
Recent changes RSS feed Creative Commons License Donate Powered by PHP Valid XHTML 1.0 Valid CSS Driven by DokuWiki