Difference between revisions of "FHIR Use Case"

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(Scenarios)
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#Data Source = data goes from point A to point B. The source is where the data is coming from. Relative to this document, a data source can be a Query Responder or a Push Initiator.
 
#Data Source = data goes from point A to point B. The source is where the data is coming from. Relative to this document, a data source can be a Query Responder or a Push Initiator.
 
#Data Receiver I=data goes from point A to point B. The receiver is where the data is going to. Relative to this document, a data receiver can be a Query Initiator or a Push Recipient.
 
#Data Receiver I=data goes from point A to point B. The receiver is where the data is going to. Relative to this document, a data receiver can be a Query Initiator or a Push Recipient.
#Record Locator Service(RLS) = provides the ability to identify where records are located based upon criteria such as a Person ID and/or record data type, as well as providing functionality for the ongoing maintenance of this location information.
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#[[Record Locator Service]](RLS) = provides the ability to identify where records are located based upon criteria such as a Person ID and/or record data type, as well as providing functionality for the ongoing maintenance of this location information.
 
#Provider =  A clinician or organization that is directly engaged in treatment services.
 
#Provider =  A clinician or organization that is directly engaged in treatment services.
 
#Patient  = A person who is the subject of health records, or an authorized representative acting on such a person’s behalf.
 
#Patient  = A person who is the subject of health records, or an authorized representative acting on such a person’s behalf.
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#Patient is traveling, has a shoulder injury and seeks care at local rural care facility.
 
#Patient is traveling, has a shoulder injury and seeks care at local rural care facility.
 
#Physician examines patient and wants to provide a pain medicine, patient cannot provide exact medicines or allergies.
 
#Physician examines patient and wants to provide a pain medicine, patient cannot provide exact medicines or allergies.
#Phisician queries patient [[Medical Record Locator Service]] and determines appropriate perscription.
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#Phisician queries patient Medical [[Record Locator Service]] and determines appropriate prescription.
  
 
Alternative Paths:
 
Alternative Paths:
 
  # The Primary Care Physician has placed the patient records in an EHR that regularly performs scans of all patients in the EHR for health conditions.
 
  # The Primary Care Physician has placed the patient records in an EHR that regularly performs scans of all patients in the EHR for health conditions.
 
# The patient is informed that health concerns are indicated and requests consent from the user to scan other health care records. (This step was missing from the original.)
 
# The patient is informed that health concerns are indicated and requests consent from the user to scan other health care records. (This step was missing from the original.)
# When indications from the scan show possible areas of concern, the EHR reaches out to all providers of care to the patient using the [[Medical Records Locator Service]]
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# When indications from the scan show possible areas of concern, the EHR reaches out to all providers of care to the patient using the Medical [[Record Locator Service]]
 
# The patient is always informed when such a scan occurs and what the results were found. (This step was less informative in the original.)
 
# The patient is always informed when such a scan occurs and what the results were found. (This step was less informative in the original.)
  
 
A different path using biometrics:
 
A different path using biometrics:
  
#
+
 
  
 
Failed Paths:
 
Failed Paths:
 
#Patient not found in MRLS.
 
#Patient not found in MRLS.
 
#Wrong record returned from MRLS
 
#Wrong record returned from MRLS
#Data is not sufficient to allow doctor confidence in perscribing.
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#Data is not sufficient to allow doctor confidence in prescribing.
  
 
==Results==
 
==Results==
 
Accepted Risks:
 
Accepted Risks:
#The consumer is not over-21 and has buddy’s token to enter into computer.
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# The patient data is incorrect and unknowingly creates more harm that would have occured without the extra (erroneous) data.
#Session hijacking mitigated with HTTPS and session cookies.
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#MitM attacks mitigated by hardware token bound to origin URL of verifier.
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#Note that the late binding token could be bound to supplier as well as needed.
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#The identity of the verifier/validator is discoverable by the supplier.
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#User makes choices on which attributes are trusted for sharing with the supplier.
+
  
 
Post Condition:
 
Post Condition:
#If validation accepted, and consumer completes payment, the restricted goods are shipped to the consumer by the supplier.
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#I Patient outcomes are improved and dangerous conditions are avoided.
#Note that at the end of the process of validating the user’s age, the state issued license to sell alcoholic beverages will determine which path to use. The penalty for the supplier using the wrong path is loss of the license to sell alcohol.
+
  
 
Examples:
 
Examples:
#Late binding token - FIDO U2F token, TEE  TPM VSC, etc.
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#
#Client side code - javascript in a browser, native app, etc.
+
  
 
Dependencies::
 
Dependencies::
 
#Web Sites must be trusted before any user information is released.
 
#Web Sites must be trusted before any user information is released.
 
#Trust federations can be used to help users make informed decisions.
 
#Trust federations can be used to help users make informed decisions.
#User consent and trust must begin with no user information transferred.
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#User consent and trust must begin before any user information is transferred.
 
#Standards exist to collect needed attributes where-ever they may be.
 
#Standards exist to collect needed attributes where-ever they may be.
  

Revision as of 00:42, 20 March 2020

Full Title

Carequality FHIR Use Case Proposal

Context

Goal

Release of PHI can only occur if the record holder has trust not only that it can accurately identify the requester, but that the request itself, and the requester’s policies and practices around the information once it is released, are appropriate. Such trust is straightforward to establish for an individual connection between two partner organizations, by relying on new or existing contractual relationships bolstered by negotiation of security and other technical details. Such an approach is not scalable, however, as the healthcare industry discovered in the context of document exchange via SOAP-based web services. Carequality’s governance framework can provide a “single on ramp” that allows an organization to sign one contract, implement one technical platform, and connect universally to a broad ecosystem of other participants.

Actors

  1. Data Source = data goes from point A to point B. The source is where the data is coming from. Relative to this document, a data source can be a Query Responder or a Push Initiator.
  2. Data Receiver I=data goes from point A to point B. The receiver is where the data is going to. Relative to this document, a data receiver can be a Query Initiator or a Push Recipient.
  3. Record Locator Service(RLS) = provides the ability to identify where records are located based upon criteria such as a Person ID and/or record data type, as well as providing functionality for the ongoing maintenance of this location information.
  4. Provider = A clinician or organization that is directly engaged in treatment services.
  5. Patient = A person who is the subject of health records, or an authorized representative acting on such a person’s behalf.
  6. Transaction = Per the HL7 website; an interaction that submits a set of actions to perform on a server as a single atomic action. Multiple actions on multiple resources of the same or different types may be submitted, and they may be a mix of other operations (e.g. read, search, create, update, delete, etc.)
  7. Research = Work done to improve healthcare costs, outcomes, quality, safety, and innovation via systematic investigation and structured data analysis.

Preconditions

  • The patient has a primary care provider with up-to-date medical conditions, prescriptions and allergies.
  • The PCP uses an EHR which is part of the US Healthcare Assurance Framework.

Scenarios

Primary Scenario:

  1. Patient is traveling, has a shoulder injury and seeks care at local rural care facility.
  2. Physician examines patient and wants to provide a pain medicine, patient cannot provide exact medicines or allergies.
  3. Phisician queries patient Medical Record Locator Service and determines appropriate prescription.

Alternative Paths:

# The Primary Care Physician has placed the patient records in an EHR that regularly performs scans of all patients in the EHR for health conditions.
  1. The patient is informed that health concerns are indicated and requests consent from the user to scan other health care records. (This step was missing from the original.)
  2. When indications from the scan show possible areas of concern, the EHR reaches out to all providers of care to the patient using the Medical Record Locator Service
  3. The patient is always informed when such a scan occurs and what the results were found. (This step was less informative in the original.)

A different path using biometrics:


Failed Paths:

  1. Patient not found in MRLS.
  2. Wrong record returned from MRLS
  3. Data is not sufficient to allow doctor confidence in prescribing.

Results

Accepted Risks:

  1. The patient data is incorrect and unknowingly creates more harm that would have occured without the extra (erroneous) data.

Post Condition:

  1. I Patient outcomes are improved and dangerous conditions are avoided.

Examples:

Dependencies::

  1. Web Sites must be trusted before any user information is released.
  2. Trust federations can be used to help users make informed decisions.
  3. User consent and trust must begin before any user information is transferred.
  4. Standards exist to collect needed attributes where-ever they may be.

Workflow Diagram

TK

References