landing_page_top_decision_support

Decision Support Whitepaper


What is Decision Support?

Decision support is software that guides employees into making quality decisions in support of an organization’s goals. It is predominantly used when the knowledge domain is complex and the decision-making process is difficult.

 

Why is decision support important for Health Care?

A Clinical Decision Support system helps clinicians in assessment, diagnosis, and giving appropriate and safe case-specific advice. It is important for improving patient outcomes and delivering higher quality care for busy clinicians and is a central component of Electronic Health Records  and Healthcare CRMs HealthCare CRMS.

 

Decision support helps anyone support navigate complicated decisions. It is crucial to simplifying and improving the work of your teams.

 

TAKE THIS RESOURCE WITH YOU

What is an Expert System?

An expert system is a type of artificial intelligence application. It embeds knowledge and decision criteria from experts in the field into software for purposes of guiding non-experts to the right path. Experts even use it to maintain quality while making quick decisions. An expert system combines multiple types of decision support to assist users through many types of hurdles.

How does an Expert System help?

An expert system takes complicated rules, knowledge, and processes and packages them into an easy experience. The knowledge that goes into these systems can take years to hone and might even be too extensive and complicated for a single person to ever master. For example, no single person may have a full grasp of the following:

 

landing_page-decision-support

 

Navigating these is daunting for staff, much more patients. However, all of these can be encoded into CareDesk with easy guidance for their existing users and honed over time.

 

(click to see a visual explanation)

Before Expert System Use –
New requirements come in that requires a change to process. Say a new provider is added, there is a change to insurance, procedure requirements are updated, or any new process is updated. Operations has to undertake the following steps:

 

 

 

Artboard_2010@3x

 

Update documentation

 

Artboard_2013@3x-1Update training

 
 

Artboard_2011@2x

 

Communicate the change to staff

 

Artboard_2014@3xRe-train employees in the new process

 
 

Artboard_2012@3x

Get validation of understanding from the staff

Artboard_2030@3xUndertake QA to validate the change is properly being implemented

 
 

 

 


After Expert System Use –
New requirements come in that requires a change to process. Operations has to:

Artboard_2010@3x  Update the expert system

 

Based on this:

Interface and instructions automatically change

Employees are prompted to the new workflow in real time

QA capabilities are built into the system

 

TECHNICAL DETAILS

 

Data collection and scripting is robust and set to respond interactively to feedback from the expert system. It supports 10 question types:Artboard_2027@3x

  Artboard_2019@3xCheckbox (Yes/No) Artboard_2030@3xSmall Text box  
  Artboard_2011@2xCheckbox (multi-selection) Artboard_2024@3xLarge Text box  
  Artboard_2021@3xRadio button (single-selection) Artboard_2016@3xLink to another protocol  
  Artboard_2013@3x-1Likert/thermometer (single-selection) Artboard_2026@3xCalculated field (visible or hidden)  
 

Artboard_2023@3xDropdown (single-selection)

 

Artboard_2018@3xAction button  

 

 

Decision trees can be tailored to any scenarios you need. Apart from data input, branching can be determined by situational factors. Some of these situation factors are:

Artboard_2028@3x

  Artboard_2019@3xSymptom Checker result

Artboard_2030@3xContract Site

 
  Artboard_2011@2xPatient Age (or estimate)

Artboard_2024@3xCaller relationship to the patient

 
  Artboard_2021@3xPatient Sex

Artboard_2016@3xTime of day, day of week, or day of year

 
 

Artboard_2013@3x-1Contract

Artboard_2026@3xType of interaction: telephone, web survey, chat, SMS, etc.

 
 

Artboard_2023@3xContract service level

 

   

 

The rules engine is built to work with clinical concepts and actionable results. It supports multiple inference types depending on the need – forward, backward, and hybrid.

Event monitor looks for events on which a decision should be made. An event is something that occurs in the software. Here are some sample events:

Artboard_2029@3x

  Artboard_2019@3xInterview disposition is ED

Artboard_2023@3xEncounter is submitted

 
  Artboard_2011@2xPatient submits a question online

Artboard_2030@3xEncounter is forwarded to a queue

 
  Artboard_2021@3xTimer expires

Artboard_2024@3xEncounter is closed

 
 

Artboard_2013@3x-1A field is changed

 

 

 

 

When an event occurs, the rules engine can check for matching conditions, launch a decision tree, or trigger further actions.

Expert Knowledge Bases include custom content, as well as licensed content.

Harvard Health Publishing content is licensed for NLP Symptom Screening

Schmitt-Thompson Clinical Content is licensed for Nurse Triage

Results of the expert system include Care Advice, Dispositions or Health Education. It can also result in software automation including:

 

 

Artboard_2019@3x

 

Encounter handling (opening, forwarding, closing, setting status, etc.)

 

Artboard_2013@3x-1Present alerts or messages to the user

 
 

Artboard_2013@3x-1Updating fields (changing outcome, updating priority, etc.)

 

Artboard_2023@3xAutomate communication via email, SMS,

 
 

Artboard_2021@3xPrompt for scripting or new workflows (see “Proactively Offer Services” in BUSREQ DENSUP-1-2 as an example)

Artboard_2030@3xFax, Paging, or EHR messages/tasking More…

 
 

 

 

 
Expert System Products

CareDesk contains several pre-packaged expert system products, including 
Nurse Triage for clinicians
Symptom Checker for non-clinicians
and more! Contact us for more information.