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Health Information ManagementDiscussion postHealth informatics

Clinical decision support applications discussion guide

A discussion post investigating clinical decision support applications and summarising at least two of them with facts, answering in roughly 100 words each what the application does and how it helps the user, with DxPlain, QMR, Prodigy, Diagnosis Pro, Iliad and Problem Knowledge Couplers offered as examples.

Editorial process

Last reviewed · August 12, 2026

01

How do the two questions actually differ?

The two questions look similar and are not, and the marks split between them. What does the application do is a description of the system: what kind of decision support it provides, what it takes as input, what it returns, what knowledge base sits behind it, and what setting it was built for. How does the application help the user is a claim about a person's work changing: the clinician considers a diagnosis they would not have listed, the prescriber is stopped before an interaction, the generalist gets specialist-level differential coverage at three in the morning. If your two paragraphs both describe the software, you have answered the first question twice and lost half the post. A quick test before submitting: the second paragraph should contain a human being doing something differently, and if no person appears in it, it is still answering question one.

The named examples are mostly diagnostic decision support systems from the era when that field was defined, and treating them as historical is a strength rather than a weakness. DXplain was built at Massachusetts General as a diagnostic prompt from findings to a ranked differential; QMR came out of the INTERNIST-1 work in internal medicine; Iliad was developed at Utah for diagnosis and for teaching; Problem Knowledge Couplers took a deliberately different line, coupling patient-specific findings to knowledge rather than producing a diagnosis. Because the assignment asks for facts about each, say who built it, when, on what knowledge base, and for which clinical domain — those four details are the facts, and a post without them is opinion. You are also explicitly not limited to that list, so a current example such as prescribing alerts or sepsis prediction inside an electronic record is legitimate.

Be careful with the word application, because clinical decision support is not one kind of thing. Some systems are knowledge-based, running rules over patient data; others are non-knowledge-based, using machine learning over historical records; some are standalone consultation programs you deliberately open, while others are embedded in the electronic record and fire whether you asked or not. Saying which type your two examples are is the single most efficient way to look like you investigated rather than searched. If you have room after the two required answers, alert fatigue is the honest counterweight to any claim about helping the user. A system that interrupts too often is overridden by reflex, so the help it actually gives depends on how well its thresholds are tuned and where in the workflow it appears, rather than on how good its knowledge base is. That point costs two sentences and separates a post that read about these systems from one that only listed them.

Likely learning objectives

Inferred from the brief — check these against your own rubric.

  • 01
    Separate a description of a system from a claim about how it changes a user's work.
  • 02
    Report developer, date, knowledge base and clinical domain as the factual core.
  • 03
    Classify each example as knowledge-based or non-knowledge-based, standalone or embedded.
  • 04
    Write to the stated word allocation for each question.
  • 05
    Acknowledge alert fatigue as a limit on the help a system provides.
Assignment instructionsQuoted verbatim

Read the full question

Review every instruction before using the planning guidance that follows.

Investigate clinical decision support applications and provide a summary of at least two of the applications that you find. Please provide facts about each of the applications and answer the following questions: 1. What does the application do? (100 words) 2. How does the application help the user? Listed below are application examples. You are not limited to this selection: DxPlain®, QMR®, Prodigy®, Diagnosis Pro®, Iliad®, and Problem Knowledge Couplers® ( 100 words) 100 Words is the minimum to ex
Course-wide instructions that accompany this question

You must proofread your paper. But do not strictly rely on your computer’s spell-checker and grammar-checker; failure to do so indicates a lack of effort on your part and you can expect your grade to suffer accordingly. Papers with numerous misspelled words and grammatical mistakes will be penalized. Read over your paper – in silence and then aloud – before handing it in and make corrections as necessary. Often it is advantageous to have a friend proofread your paper for obvious errors. Handwritten corrections are preferable to uncorrected mistakes. Use a standard 10 to 12 point (10 to 12 characters per inch) typeface. Smaller or compressed type and papers with small margins or single-spacing are hard to read. It is better to let your essay run over the recommended number of pages than to try to compress it into fewer pages. Clinical decision support applications DQ Likewise, large type, large margins, large indentations, triple-spacing, increased leading (space between lines), increased kerning (space between letters), and any other such attempts at “padding” to increase the length of a paper are unacceptable, wasteful of trees, and will not fool your professor. The paper must be neatly formatted, double-spaced with a one-inch margin on the top, bottom, and sides of each page. When submitting hard copy, be sure to use white paper and print out using dark ink. If it is hard to read your essay, it will also be hard to follow your argument. ADDITIONAL INSTRUCTIONS FOR THE CLASS Discussion Questions (DQ) Initial responses to the DQ should address all components of the questions asked, include a minimum of one scholarly source, and be at least 250 words. Successful responses are substantive (i.e., add something new to the discussion, engage others in the discussion, well-developed idea) and include at least one scholarly source. One or two sentence responses, simple statements of agreement or “good post,” and responses that are off-topic will not count as substantive. Substantive responses should be at least 150 words. I encourage you to incorporate the readings from the week (as applicable) into your responses. Weekly Participation Your initial responses to the mandatory DQ do not count toward participation and are graded separately. In addition to the DQ responses, you must post at least one reply to peers (or me) on three separate days, for a total of three replies. Participation posts do not require a scholarly source/citation (unless you cite someone else’s work). Part of your weekly participation includes viewing the weekly announcement and attesting to watching it in the comments. These announcements are made to ensure you understand everything that is due during the week. APA Format and Writing Quality Familiarize yourself with APA format and practice using it correctly. It is used for most writing assignments for your degree. Visit the Writing Center in the Student Success Center, under the Resources tab in LoudCloud for APA paper templates, citation examples, tips, etc. Points will be deducted for poor use of APA format or absence of APA format (if required). Cite all sources of information! When in doubt, cite the source. Paraphrasing also requires a citation. I highly recommend using the APA Publication Manual, 6th edition. Use of Direct Quotes I discourage overutilization of direct quotes in DQs and assignments at the Masters’ level and deduct points accordingly. As Masters’ level students, it is important that you be able to critically analyze and interpret information from journal articles and other resources. Simply restating someone else’s words does not demonstrate an understanding of the content or critical analysis of the content. It is best to paraphrase content and cite your source. LopesWrite Policy For assignments that need to be submitted to LopesWrite, please be sure you have received your report and Similarity Index (SI) percentage BEFORE you do a “final submit” to me. Once you have received your report, please review it. This report will show you grammatical, punctuation, and spelling errors that can easily be fixed. Take the extra few minutes to review instead of getting counted off for these mistakes. Review your similarities. Did you forget to cite something? Did you not paraphrase well enough? Is your paper made up of someone else’s thoughts more than your own? Visit the Writing Center in the Student Success Center, under the Resources tab in LoudCloud for tips on improving your paper and SI score. Late Policy The university’s policy on late assignments is 10% penalty PER DAY LATE. This also applies to late DQ replies. Please communicate with me if you anticipate having to submit an assignment late. I am happy to be flexible, with advance notice. We may be able to work out an extension based on extenuating circumstances. If you do not communicate with me before submitting an assignment late, the GCU late policy will be in effect. I do not accept assignments that are two or more weeks late unless we have worked out an extension. As per policy, no assignments are accepted after the last day of class. Any assignment submitted after midnight on the last day of class will not be accepted for grading. Communication Communication is so very important. There are multiple ways to communicate with me: Questions to Instructor Forum: This is a great place to ask course content or assignment questions. If you have a question, there is a good chance one of your peers does as well. This is a public forum for the class. Individual Forum: This is a private forum to ask me questions or send me messages. This will be checked at least once every 24 hours. Clinical decision support applications DQ

02

Turn the brief into deliverables

  1. 01
    A summary of at least two clinical decision support applications.
  2. 02
    Facts about each application, not impressions.
  3. 03
    Roughly 100 words on what each application does.
  4. 04
    Roughly 100 words on how each application helps the user.
03

What counts as a fact about an application?

01

Application one: what it does

Inputs, outputs, knowledge base, setting and type, with developer and date.

02

Application one: how it helps the user

The clinician's task before and after, and the decision the system changes.

03

Application two: what it does

The same four facts for a system of a deliberately different type.

04

Application two: how it helps the user

The workflow change, and where in the workflow the support arrives.

05

Limits

Override rates, alert fatigue and the dependence of benefit on tuning and placement.

04

Where is reliable information on these systems?

Recommended databases

  • NCBI Bookshelf
  • HealthIT.gov
  • AHRQ Digital Healthcare Research

Search sequence

  1. 1.
    Read a general CDSS chapter first so you can classify each application by type.
  2. 2.
    Search each named system by its developing institution, which is where the reliable descriptions live.
  3. 3.
    Pick two systems of different types so the contrast writes itself.
  4. 4.
    Note the date of each system, since several of the named examples are historical.
05

Reference shortlist

These are authoritative starting points, not a ready-made bibliography. A qualified reviewer must confirm that each source fits the assignment and supports the claim beside which it is cited.

Nothing here is cleared for citation until you have read it.

  1. 01

    Clinical Decision Support Systems

    Fundamentals of Clinical Data Science, NCBI Bookshelf · 2019

    The knowledge-based and non-knowledge-based distinction, and the architecture behind the systems in the list.

  2. 02

    Clinical Decision Support

    Office of the National Coordinator for Health Information Technology · 2024

    What decision support is expected to deliver inside an electronic record, for the 'helps the user' answers.

  3. 03

    Clinical Decision Support

    AHRQ Digital Healthcare Research · 2024

    Implementation evidence, including override and alert fatigue findings for the limits section.

06

Review before submission

Common mistakes

  • Answering the second question with a restatement of the first.
  • Describing the software with no user and no workflow in the answer.
  • Naming an application without its developer, date, knowledge base or domain.
  • Treating all decision support as one category.
  • Copying a vendor description instead of investigating the system.
  • Claiming benefits with no acknowledgement of override or alert fatigue.

Submission checklist

  • Two applications named and clearly separated.
  • Developer, date, knowledge base and clinical domain given for each.
  • Each system classified by type.
  • A person doing something differently in every 'how it helps' answer.
  • Word allocations respected for both questions.
  • At least one peer-reviewed or authoritative source cited.

Use this guide to plan and review your own work. Follow your institution's rules and read our academic-integrity policy.

Written by

Aaron Bishop

MA, Education

assignment interpretation and research-methods coaching across disciplines

Aaron leads the EssayCrackers editorial desk. He works on how assignment briefs are read — what a rubric is actually asking for, and where students most often answer a different question than the one set.

Reviewed by

Dr. Nathan Cole

PhD, Rhetoric & Composition

Argumentation and thesis development

Nathan teaches first-year composition and directs a university writing center. He reviews EssayCrackers guides for argumentative soundness and citation accuracy.

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