Patient Pathway Example Diabetes

This section covers demonstrates how Frameworks can be used on a patient journey or pathway. This will include use existing programmes both local government (public health and social services) and the NHS (primary care, mental health, community and secondary care) where they are applicable.

The use cases in this section are all centred Diabetes use cases but also apply to other concerns or conditions. Later stages of this journey, where the patient has a diabetes condition (and other conditions) and multiple care providers is covered in Clinical Pathways and Workflow

Each of the following sections takes a different perspective to the problem.

Section Perspective
Wellness People
Command 'pagelink' could not render: Page not found.
People (Citizen/Practitioner)
Diabetes Risk Evaluation People (Citizen/Practitioner) and Process
Diabetes Prevention Programme Referral People (Citizen/Practitioner), Process and Technical
Diabetes Referral and Complications People (Citizen/Practitioner), Process and Technical

In reality each stage would include

people + process + technology

perspectives but to illustrate the problem and how they interact we have chosen to introduce each perspective one by one.

Focusing on one or two only is very likely to lead to implementation issues and so is not recommended. For example, many interoperability solutions (using HL7 v3/CDA/FHIR Messaging and other technical standards) create dataset/record transfer focused solutions which tend to ignore people + process communication and coordination. The modern (FHIR) RESTful approach to handling this dataset/record requirement is sharing records at source and this is discussed in Query API.

Wellness

Public Health LocalGov Public Health NHSEngland

Introduce the early part of the journey.

Citizen self selected Physical Activity and Weight Management interventions may have started recording the following data, in a Personal Health Records (PHR) application such as Apple Health, Google Health, Strava, FitBit, etc.

  • weight
  • steps
  • pulse rate
  • spO2
  • activity data

Observations-Apple

As this data is largely observation based the Query API can be used here. These will also appear on interventions and procedures (specifically Virtual Wards) but from a patient perspective they start here.

Frameworks Used

Framework Description
Query API Many of the PHR apps shared their data via Query API's, these tend to be bespoke API's (i.e. don't use an open standard like FHIR but are often similar).
Devices and Wearables Links to guidance on Devices and Wearables.

Diabetes Concern (NHS Health Check)

William Smith is a white middle aged (57) male, who has recently stopped smoking, got married and moved to a new house.​ He has a family history of diabetes and lives in an area with a history of poor health outcomes.​

After speaking the family and friends about his weight, he was recommended to have an NHS Health Check. ​

An NHS Health Check is routinely performed every 5 years from the age of 40. William missed his 55yo checkup as it was during the pandemic, so he decides to ask for one. ​

This page is based on NHS Health Check from NHS England.

William would probably call his surgery to arrange a check up or consultation with his GP.

The GP probably reviewed Williams record, if external systems were used then this could use a Query API. The GP could have taken some observations but we will assume the practice nurse did this. The observations Dawn was asked to collect was probably a version of 'vital-signs' and would be captured and recorded into the GP system, probably via a form or template similar to the screen shot below.

Form-VitalSignsSDC

In IHE the process of sharing this form with an external system is called Retrieve Form for Data Capture (RFD), the HL7 FHIR Structured Data Capture builds on this and adds:

  • Form Definition - is used to define what data is to be captured and what codes and units to use
  • Automatic Population - which reduces the pain of copying data between applications.
  • Rendering Considerations - which provides guidance on how the form should be displayed to a user.
  • Data Extraction - How the form data could be shared with other applications and users.

An example of a form definition can be found here: Vital Signs Findings The output of the completed form in FHIR format is a QuestionnaireResponse Vital Signs Completed Form This form can also be extracted into other formats such as FHIR Observations, for example a SP02 measurement SP02.

Frameworks Used

Framework Description
Workflow Workflow could be used to arrange the Health Check
Query API The practitioner probably reviewed the patient record record using a native Query API.
The Query API was used by Structured Data Capture to source pre-existing data to pre-populate the questionnaire.
Structured Data Capture Structured Data Capture was used to define the data to be captured during the health check, this included which SNOMED CT concepts to use and also which units. This defintion was also used in conjunction with Query API to pre-populate the form with existing data.
Structured Data Capture was also used to generate Observations (Events) to be recorded in the surgery EPR.

Diabetes Risk Evaluation

Dawn discussed improving his diet and suggested physical activity as a method of improving his health.​

She also discussed NHS Prevention Programme's William could make use of including ​ ​

  • NHS England - Digital Weight Management.​
  • NHS Diabetes Prevention Programme​

As William does not have diabetes, he was not eligible for the first programme but will do a diabetes risk assessment for the other on the surgery's patient portal.​

This section is based on Type 2 Diabetes Risk from Diabetes UK. This is a recommended evaluation procedure from NHS England Diabetes Prevention Programme

A structured data capture form based on the existing Type 2 Diabetes Risk application is shown below:

Form-DiabetesRiskSDC

This has a number of entries common with the previous 'vital signs' form, so is a candidate for structured data capture automatic population which can use a Query API framework.

So instead of asking William to reenter values such as height, weight and BMI they were automatically brought in from the previous vital signs form.

Once the assessment has been completed a risk score can be calculated.

Form-DiabetesUKRisk

The process we have followed here is shown in the following sequence diagram.

Diabetes Risk Assessment

The last part of this diagram indicates the assessment is to be reviewed, this is confirm the referral to the Diabetes Prevention Programme referral should proceed.

Taking a step back we can summarise the journey so far as a business process diagram.

diabetes-prevention

In this diagram, each of the lines connecting the different process boxes is what we are referring to as the workflow framework. At each process box, patient care data is being recorded into the patients EPR's, this data is NOT being transferred between the boxes.

Physical Activity Intervention Option

This diagram also shows that it is possible for a physical activity intervention to be taking place in parallel with the diabetes prevention programme intervention. Their is likely to be cross over between these interventions and we have the potential of at least three providers providing care at the same time.

In the UK these physical activity interventions are known as social prescribing for example Local Government - Harnessing culture and sport to deliver social prescribing and improve health outcomes

There is no recommend UK guidance on the technical implementation of Physical Activity interventions. However US - Physical Activity Implementation Guide is consistent with this Implementation Guidance with the similar frameworks and interactions being recommended.

Frameworks Used

Framework Description
Workflow Workflow is used to arrange the completion of the Diabetes Risk questionnaire.
Query API The Query API was used by Structured Data Capture to source pre-existing data to pre-populate the questionnaire.
Structured Data Capture Structured Data Capture was used to define the data to be captured during the health check, this included which SNOMED CT concepts to use and also which units. This defintion was also used in conjunction with Query API to pre-populate the form with existing data.
Structured Data Capture was also used to generate Observations (Events) to be recorded in the surgery EPR.

Diabetes Prevention Programme Referral

Current Process

The current process does not define any technical implementation standards. It does state UK SNOMED coding which largely mirrors the FHIR Workflow Communication State Definitions

NHS England Clinicals Current Workflow Sequence Diagram SNOMED

The diagram shows a series of interactions between the GP Surgey (placer), Patient and Provider. This communication has not been defined by the programme and is probably done via a combination of verbal/SMS/email/letter methods. The result of this communication is stored as an event in the GP Record (in GP Connect this would be surfaced as a FHIR Observation). It is likely the GP or other system tracks the status of these requests in a workflow or task manager.

So for use case example, at the end of the NHS Health Check, Dawn offered the Diabetes Prevention Programme as an intervention. If William declined this offer, an Observation would have been recorded using SNOMED CT Referral to NHS Diabetes Prevention Programme declined (1025301000000100) in the GP system.

In our example William accepted the offer and the referral process was started. This involved William completing a Diabetes Risk Assessment. How the GP Surgery asks the provider to fulfil the referral is similar, the request is sent and the provider responds with accepted which results in NHS Diabetes Prevention Programme started (1025271000000103) being recorded in the EPR. When the intervention is compeleted/abandoned the provider will communicate with the surgery (verbal, sms, email, etc) and this results in NHS Diabetes Prevention Programme completed (1025251000000107) or NHS Diabetes Prevention Programme not completed (1025211000000108) being recorded in the EPR.

FHIR Workflow applied to the current process

FHIR Workflow focuses on the communication, it does not focus on the exchanging of health care records. These are handled via the Query API (see Query API).

With FHIR Workflow all the verbal/sms/email/fax communication can be replaced by the FHIR Task resource.

NHS England Clinicals Current Workflow Sequence Diagram with FHIR

For example, a request to Leeds Community Healthcare NHS Trust (RY6) could look like this:

Command 'pagelink' could not render: Page not found.

The response from the LCH to the surgery is very similar. In the example below, only the status has changed to accepted.

Command 'pagelink' could not render: Page not found.

When LCH informs the surgery, the intervention is complete, again this is very similar with the status changed to completed.

Command 'pagelink' could not render: Page not found.

The above is a very basic description of FHIR Workflow. It can be extended, for example let's assume William decided to swap to self-management of his weight via physical activity. In this case the provider sends back a Task with the status of cancelled with a note indicating the reason why.

Command 'pagelink' could not render: Page not found.

FHIR ServiceRequest and supporting information

We have purposely not discussed the referral itself. This can be found on Diabetes Prevention Programme Referral. Where a Query API is available, in FHIR Workflow this is not sent to the provider and instead shared with them. This is also true of supporting information which in this case is the Diabetes Risk Score Completed Form

It is highly recommended that referrals, supporting information and workflow are NOT combined into one interaction. This can become very difficult and costly to implement and define.

This is a big change from current ways of working and other methods of sharing this information may need to use while sharing of data becomes prevalent. FHIR Workflow has a list of communication patterns which may assist. In NHS England systems the following communication patterns are used:

Frameworks Used

Framework Description
Workflow Workflow is used to communicate between the providers to deliver the referral.
Query API A shared Query API was used by providers to review the incoming referral request, view existing patient and share progress on the care delivery.
Structured Data Capture The output from the Diabetes Risk Evaluation is probably shared as supporting information for the Diabetes Referral, using frameworks this would be shared via Query API

Diabetes Referral and Complications

Many other stories like Williams available on Diabetes UK

Imogen
  • Diagnosed with Type 1 Diabetes when she was 12 years old.​
  • Developed an unhealthy relationship with food and became extremely conscious of her weight.​
  • Diagnosed with diabulimia when she was 19.​
  • Struggled with alcohol consumption.​
  • Experienced several dangerous diabetic complications:​
    • Developed retinopathy problems (microaneurysms in her eyes) *​
    • Damaged blood vessels in her feet​
    • Impacted her mental health*​

Received therapy she needed to accept and understand her diabetes and with the support of dieticians she now has a healthy relationship with food.

Waseem​
  • Diagnosed with Type 2 Diabetes when he was 24 years old.​
  • Developed an unhealthy relationship with food, he was obese – around 120kg.​
  • In 2016 he suffered his third bout of Bell's Palsy.​
  • Had some blood tests:​
    • Kidneys were shutting down- referred to the Cronic Kidney Disease team​
  • Started taking medicine and changed to living an active healthy lifestyle:​
    • Aims at least 10,000 steps in daily.​
    • Kidneys are no longer at a threat level.​
    • Most recent weight at 41 was recorded as 79kg.

The process definitions and guidance at this stage become more complex and descriptions can be found in National Institute for Health and Care Excellence (NICE) Guidance:

An overview diagram of NICE Guidance: Type 2 diabetes in adults: management is shown below:

Diabetes Complications and other workflow

The process and workflow around diabetes management has become significantly more complicated. We do however start to see processes starting to repeat:

  • Self-monitoring is similar to the self monitoring in the Wellness section.
  • Processes to arrangement treatment for the complication is likely to be similar to Diabetes Prevention Programme Referral section.
  • Processes to arrange diagnostic tests can be a variation of the treatment processes.

Similar patterns can be seen in NHS England - Transformation Directorate: Digital playbooks

  • Scenarios around self-monitoring, virtual treatment, remote monitoring, etc, have similarities to the self-monitoring introduced in the Wellness section.
  • Communication and Care Coordination are common themes which overlaps with the communication (and workflow) focus we discussed in the previous sections.

Diabetes Secondary Care Pathways

These patterns continue in Get It Right First Time - Diabetes Workstream

E.g.

Initial management of hyperglycaemia in adults in the emergency department

Diabetes-ED-hyperglycaemia-pathway

Management of patients presenting to ED with a foot problem

Diabetes-ED-Pathway

Community Wound Care Management

IT IS POSSIBLE THESE TWO PATHWAYS FIT TOGETHER. It is not clear but MDFT (multi-disciplinary footcare teams (MDFTs)?) may imply the same multi-disciplinary care shown below. (Diagram below is a gist of an NWR form NHS England South-East (IoW and Hamps.))

community-wound-care

Workflow and Record Transfer

?? IS THIS ELABORATING THE TECHNICAL FRAMEWORK - MOVE TO TF?

The previous sections which provided examples of multiple pathways on a patient's journey introduced a host of coordination and communication interactions between citizens/patients, practitioners and providers.

The amount of information and the method of communication varies considerably. Starting with simple verbal communication to large transfers of information especially around interactions between Secondary and General Practice. These interactions will often be called transfer of care and/or referrals

Also on later stages of the patient journey we start to see multiple pathways occurring concurrently. For example Imogen use case involved care from these providers often at the same time:

  • General Practice
  • Community Care
  • Mental Health
  • Social Providers
  • Secondary Care

There are several solutions which are discussed in Workflow

Workflow Definition

This is defining steps along a pathway, it is currently documented in programme's such NICE, Diabetes UK Pathways, Diabetes Prevention programme, etc. In this guide we have chosen to also use narrative and diagrams to describe workflow definitions. The relationship of Definition to Request and Event is shown below:

Workflow-definition

The examples of definition we have used in Patient Pathway Example Diabetes include:

Definition Type Input Output
NHS Health Check Information Gathering Questionnaire (vital signs) QuestionnaireResponse (vital signs)
Diabetes Risk Assessment Information Gathering Questionnaire (Type 2 Diabetes Risk) QuestionnaireResponse (Type 2 Diabetes Risk)
Diabetes Prevention Programme Referral Patient Referral QuestionnaireResponse (Type 2 Diabetes Risk) ServiceRequest

This is an area for elaboration and may include the use of FHIR PlanDefinition and FHIR ActivityDefinition