Qian Yang, John Zimmerman, Aaron Steinfeld
Lisa Carey, James F. Antaki
INVESTIGATING THE HEART PUMP
IMPLANT DECISION PROCESS
OPPORTUNITIES FOR
DECISION SUPPORT TOOLS TO HELP
CHI’16 Best Paper Honorable Mention
2
The“HeartPump”
LVAD (leftventricular assist device),
implantable mechanical heart pump.
Adifficultend-of-lifedecision
•  High-risk surgery and recovery
•  Lifestyle change
•  Critical implantwindow
The “Heart Pump” as DestinationTherapy
Source: www.mayoclinic.org
Background
3
Many available decision-support tools (DSTs)
Clinicaldecisionsupporttools(DSTs):
Computersystemsthatusemedicalrecordsto
improvehealthcaredecision-making,efficiency,
patientsatisfactionandcompliance.
FunctionsDiagnosis generator, treatment
recommender, or prognosis predictor.
Outputsalerts, decisions, recommendations,
predictions, or considerations.
Example:Adecision-at-handsoftwareusing
predictivedatamining(Bellazzi&Zupan,2008)
Background
4
Most fail in clinical practice
Number1reasonforfailureisthelackofHCIconsiderations
HCI literatures provide no design patterns or guidance.
Identifiedbarriers
Poor integration with clinical workflow
Not designed for collective nature of clinical work
No addedvalue perceived by clinicians
…
MissingfromLiterature
Clinician workflow
teamwork
needs
…
(Yang etal.2015)
Background
5
Motivation
Emerging needs for HCI research
HCI research can help address these barriers
by integrating the richness of context
and redefining the role of DST technology in clinical practice.
(Yangetal.,2015)
6
Investigate clinician decision-making in context
Scope
Clinician decision-making in advanced heart failure services of
implant hospitals, hospitals that provide heart pump implantation.
DataCollection
•  14-day field observation in 2 hospitals.
•  24 one-hour semi-structured interviews in 3 hospitals.
DataAnalysis
Affinity diagram, service blueprint.
1.
2.Identify opportunities for DSTs to help
Goals of Our Field Study
Methods
7
F I N D I N G S
-  Decision Landscape Overview
-  Barriers for DSTs Coming to Effect
8
DecisionLandscape
Cardiologists
Surgeons
Implant
Physicians
(13interviews)
NursePractitioners
Fellows&Interns
PhysicianAssistants
RegisteredNursesMid-levels
(11interviews)
VADCoordinators
FinanceCoordinator
SocialWorkers
Pharmacists
Nutritionists
MultidisciplinaryConsults
Implant
Meeting
Outpatient
Clinic
Inpatient
WardRounds
External
Consults
9
Findings
10
Implantphysicians:
Decision is easy
Findings
Oral Medications
Other
Mechanical Support
HeartPump
“	
  
”	
  
Implant
Decision
We didn't knowwhat else to do.
Then that's the time that he gets
admitted for evaluation of LVAD.
(NursePractitioner,site3)
Intravenous
Medications
11
Implantphysicians
Expressed no need for DSTs
Findings
For most cases, there arewell-established precedence.
For grey cases, physicians don’t think extra data are helpful.
Physicians do not use decision support tools.
They consult colleagues for decision support.
I can tell you who are really on the fringes.
But there is no data can guide this decision.“	
  
”	
  (Cardiologist,site1)
12
“	
  
”	
  
Three paths of patient journey
Home
Clinic/
Local
Hospital
Implant
Hospital
1)Theconsolidatedpath
(Cardiologist,site3)
He is a patient I’ve had 9 months to get know him, to
do test on, to follow… It’s hard to saywhat else Iwill
need. I had a lot of time to think through things.
Oral Medications
Other
Mechanical Support
Heart Pump
Implant
DecisionIntravenous
Medications
Implant Window
Findings
13
“	
  
”	
  
Three paths of patient journey
Home
Clinic/
Local
Hospital
Implant
Hospital
2)emergencyroompath
(Cardiologist,site1)
We've got patients that come in here who are on
breathing tubes, and their families say go ahead.
And they wake up on a mechanical pump.
Heart Pump
Implant
Decision
Implant Window
Findings
14
Implant Window
“	
  
”	
  
Three paths of patient journey
Home
Clinic/
Local
Hospital
Implant
Hospital
3)latereferralpath
The patient came hereveryvery sick. Hewas
progressing in the community. Didn’t get referred
here.
Heart Pump
Implant
Decision
(Cardiologist,site2)
Findings
15
Decision breakdowns do not happen
whenfactoringpatientconditiontoimplantdecision
Instead, breakdowns happenwhen
•  Upstream physicians missed implantwindow
•  Upstream physicians delayed implant consideration
•  Implant team has difficulties clarifying patients’
social and/or medical conditions
Findings
16
I M P L I C AT I O N S
17
Barriers for Decision-supportTool Adoption
Implications
•  Attitudinal Barriers
•  Need Barriers
•  Informational Mismatch
•  Environmental Barriers
18
1) Embracing the Richness of Clinical Context
incl.physicalandsocialcontexts
Implications for DST design
•  Need to minimize input of data due to clinicians’
frequent hand washing and lack of time spent in
front of a computer;
•  Have to make an effort to reach and convince the
decision-makers
•  i.e. through mid-levels or weekly meetings
19
Implant Window
2) Decision Process as a Design Material
Animplantdecisioniscomposedofastringofsmallerdecisions.
Medication
Escalation
DestinationTherapy
Medication
Escalation
Treatment
Escalation
ClinicVisit
FrequencyAdjustments
Hospitalization
Implant
Decision
Medication
Adjustment
Clinic/
Local
Hospital
Implant
Hospital
Implications for DST design
20
3) Blending Human and Machine Intelligence
Implications for DST design
•  Support clinicians’ decisions, rather than make decisions
for them;
•  Explore potentials for AI in clarifying and monitoring
patient condition as well as managing care escalations
21
Thanks to
Contact Author:
Qian Yang qyang1@cs.cmu.edu
Full Paper Available Here

Designing Machine Learning Driven Clinical Decision Support Tools

  • 1.
    Qian Yang, JohnZimmerman, Aaron Steinfeld Lisa Carey, James F. Antaki INVESTIGATING THE HEART PUMP IMPLANT DECISION PROCESS OPPORTUNITIES FOR DECISION SUPPORT TOOLS TO HELP CHI’16 Best Paper Honorable Mention
  • 2.
    2 The“HeartPump” LVAD (leftventricular assistdevice), implantable mechanical heart pump. Adifficultend-of-lifedecision •  High-risk surgery and recovery •  Lifestyle change •  Critical implantwindow The “Heart Pump” as DestinationTherapy Source: www.mayoclinic.org Background
  • 3.
    3 Many available decision-supporttools (DSTs) Clinicaldecisionsupporttools(DSTs): Computersystemsthatusemedicalrecordsto improvehealthcaredecision-making,efficiency, patientsatisfactionandcompliance. FunctionsDiagnosis generator, treatment recommender, or prognosis predictor. Outputsalerts, decisions, recommendations, predictions, or considerations. Example:Adecision-at-handsoftwareusing predictivedatamining(Bellazzi&Zupan,2008) Background
  • 4.
    4 Most fail inclinical practice Number1reasonforfailureisthelackofHCIconsiderations HCI literatures provide no design patterns or guidance. Identifiedbarriers Poor integration with clinical workflow Not designed for collective nature of clinical work No addedvalue perceived by clinicians … MissingfromLiterature Clinician workflow teamwork needs … (Yang etal.2015) Background
  • 5.
    5 Motivation Emerging needs forHCI research HCI research can help address these barriers by integrating the richness of context and redefining the role of DST technology in clinical practice. (Yangetal.,2015)
  • 6.
    6 Investigate clinician decision-makingin context Scope Clinician decision-making in advanced heart failure services of implant hospitals, hospitals that provide heart pump implantation. DataCollection •  14-day field observation in 2 hospitals. •  24 one-hour semi-structured interviews in 3 hospitals. DataAnalysis Affinity diagram, service blueprint. 1. 2.Identify opportunities for DSTs to help Goals of Our Field Study Methods
  • 7.
    7 F I ND I N G S -  Decision Landscape Overview -  Barriers for DSTs Coming to Effect
  • 8.
  • 9.
  • 10.
    10 Implantphysicians: Decision is easy Findings OralMedications Other Mechanical Support HeartPump “   ”   Implant Decision We didn't knowwhat else to do. Then that's the time that he gets admitted for evaluation of LVAD. (NursePractitioner,site3) Intravenous Medications
  • 11.
    11 Implantphysicians Expressed no needfor DSTs Findings For most cases, there arewell-established precedence. For grey cases, physicians don’t think extra data are helpful. Physicians do not use decision support tools. They consult colleagues for decision support. I can tell you who are really on the fringes. But there is no data can guide this decision.“   ”  (Cardiologist,site1)
  • 12.
    12 “   ”   Threepaths of patient journey Home Clinic/ Local Hospital Implant Hospital 1)Theconsolidatedpath (Cardiologist,site3) He is a patient I’ve had 9 months to get know him, to do test on, to follow… It’s hard to saywhat else Iwill need. I had a lot of time to think through things. Oral Medications Other Mechanical Support Heart Pump Implant DecisionIntravenous Medications Implant Window Findings
  • 13.
    13 “   ”   Threepaths of patient journey Home Clinic/ Local Hospital Implant Hospital 2)emergencyroompath (Cardiologist,site1) We've got patients that come in here who are on breathing tubes, and their families say go ahead. And they wake up on a mechanical pump. Heart Pump Implant Decision Implant Window Findings
  • 14.
    14 Implant Window “   ”   Three paths of patient journey Home Clinic/ Local Hospital Implant Hospital 3)latereferralpath The patient came hereveryvery sick. Hewas progressing in the community. Didn’t get referred here. Heart Pump Implant Decision (Cardiologist,site2) Findings
  • 15.
    15 Decision breakdowns donot happen whenfactoringpatientconditiontoimplantdecision Instead, breakdowns happenwhen •  Upstream physicians missed implantwindow •  Upstream physicians delayed implant consideration •  Implant team has difficulties clarifying patients’ social and/or medical conditions Findings
  • 16.
    16 I M PL I C AT I O N S
  • 17.
    17 Barriers for Decision-supportToolAdoption Implications •  Attitudinal Barriers •  Need Barriers •  Informational Mismatch •  Environmental Barriers
  • 18.
    18 1) Embracing theRichness of Clinical Context incl.physicalandsocialcontexts Implications for DST design •  Need to minimize input of data due to clinicians’ frequent hand washing and lack of time spent in front of a computer; •  Have to make an effort to reach and convince the decision-makers •  i.e. through mid-levels or weekly meetings
  • 19.
    19 Implant Window 2) DecisionProcess as a Design Material Animplantdecisioniscomposedofastringofsmallerdecisions. Medication Escalation DestinationTherapy Medication Escalation Treatment Escalation ClinicVisit FrequencyAdjustments Hospitalization Implant Decision Medication Adjustment Clinic/ Local Hospital Implant Hospital Implications for DST design
  • 20.
    20 3) Blending Humanand Machine Intelligence Implications for DST design •  Support clinicians’ decisions, rather than make decisions for them; •  Explore potentials for AI in clarifying and monitoring patient condition as well as managing care escalations
  • 21.
    21 Thanks to Contact Author: QianYang qyang1@cs.cmu.edu Full Paper Available Here