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Microsoft Healthcare United Kingdom

Dynamic Health Systems

Customer Service Automation

Dynamic Health Systems needed to scale proactive, motivational care planning because overloaded clinicians and rising chronic-care demand made paper-like care plans too static and labor intensive.

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56% reduction in per-patient care costs
83% fewer acute admissions after implementing care planning
A fall in mean blood pressure 5.5 mmHg—which pointed to a 50% reduction in stroke risk.
ISV Dynamic Health Systems created its VitruCare365® platform on Microsoft Cloud for Healthcare technologies to enable motivational care planning.

Reported impact

Business outcome

Dynamic Health Systems reported ISV Dynamic Health Systems created its VitruCare365® platform on Microsoft Cloud for Healthcare technologies to enable motivational care planning., A fall in mean blood pressure 5.5 mmHg—which pointed to a 50% reduction in stroke risk., and Weight fell by an average of 2 kg—reducing diabetes risk of between 25-50%, depending on a person's body weight., improving personalized care-planning assistants and patient engagement with measurable gains in cost reduction, customer experience, and productivity improvement.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement

Solution

Dynamic Health Systems uses Microsoft Cloud for Healthcare, Microsoft Azure, Dynamics 365, and Azure OpenAI Service to support personalized care-planning assistants and patient engagement. Dynamic Health Systems needed to scale proactive, motivational care planning because overloaded clinicians and rising chronic-care demand made paper-like care plans too static and labor intensive. In practice, the implementation stores or organizes core datasets in FHIR, governs access and lineage with Microsoft Cloud for Healthcare, runs transformation or AI logic on Azure OpenAI Service, and delivers outputs through Dynamics 365. Tickets, conversation history, knowledge articles, and operational context are consolidated into FHIR; Azure OpenAI Service applies analytics or model logic; results are surfaced through Dynamics 365. The case study reports ISV Dynamic Health Systems created its VitruCare365® platform on Microsoft Cloud for Healthcare technologies to enable motivational care planning.,...

Data flow

Tickets, conversation history, knowledge articles, and operational context are consolidated into FHIR; Azure OpenAI Service applies analytics or model logic; results are surfaced through Dynamics 365.

Solution architecture

5 components · 4 layers
  1. Compute
    • Azure OpenAI Service Supports model development, tuning, evaluation, or managed generative ai inference
  2. Storage
    • FHIR Stores or organizes the core datasets that feed downstream analytics and ai workflows
  3. Serving
    • Dynamics 365 Connects operational applications and customer workflows to the analytics or ai layer
    • Microsoft 365 Connects operational applications and customer workflows to the analytics or ai layer
  4. Governance
    • Microsoft Cloud for Healthcare Applies identity, policy, and domain governance controls around the solution

Evidence from the source

A fall in mean blood pressure 5.5 mmHg—which pointed to a 50% reduction in stroke risk.
Another patient responds, “I forget what has happened in the past, even if it was yesterday. I do tend to recall the bad things, so this might help me to see the good things that have happened too.”
ISV Dynamic Health Systems created its VitruCare365® platform on Microsoft Cloud for Healthcare technologies to enable motivational care planning.
Weight fell by an average of 2 kg—reducing diabetes risk of between 25-50%, depending on a person's body weight.
“For me, it was always going to be Microsoft,” says Axel Schulte, as he recalls the early decision to develop the new DHS software platform on
Transparency Evidence & methodology 90/100 reference value · 92% confidence · 2 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value90/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth15/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    5 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence92%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Dynamic Health Systems customer story

    First-party
    https://www.microsoft.com/en/customers/story/21035-dynamic-health-systems-azure
    Source type
    Vendor-published customer story
    Published
    Jan 23, 2025
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. LinkedIn

    Dynamic Health Systems | LinkedIn

    Independent secondary
    https://www.linkedin.com/company/dynamic-health-systems/

    The Organization JSON-LD lists addressLocality 'Bradford', and addressCountry 'GB', and numberOfEmployees value 3.

    Source type
    Structured company profile
    Supports
    • Company size

Date evidence

  • Published on source page Jan 23, 2025 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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