Microsoft Healthcare Sweden

Kry

IT Operations Automation

Together, they are revolutionizing the way patients access healthcare, reducing administrative burdens for clinicians, widening limited healthcare resources, and ultimately, improving the overall quality of patient care.

At Kry 60 percent of patients are female.
Kry provides services in more than 30 spoken languages—from Arabic to Urdu—making care management even more accessible and equitable to a global patient base.
More personalized medicine done efficiently is key to us coping with increased chronic and complex disease—AI will be key in unlocking the long-term benefits.” With the help of Azure OpenAI Service, Kry can take personalization further, ensuring patients are connected to the right healthcare professional or advice faster while maintaining efficiency and quality of care.
Personalized care for every patient, at a lower cost Accessibility is a key component of Kry's mission.

Reported impact

Business outcome

“Our tools are extremely good at understanding medical notes, conversations, and specific situations, then outputting the data into the most appropriate format.” For example, by transcribing doctors’ notes, pre-filling referral letters and performing administrative tasks more efficiently, AI allows Kry clinicians to focus on delivering better care, while ensuring patients can access the advice, care, and treatment they need in the most efficient way.” “So far, we are aiming for the goal that increased efficiency from AI will increase clinician productivity by 20 percent, which over time could free up clinician time to the equivalent of an additional 10,000 patient appointments a month,” comments Conneryd Lundgren.

  • Cost Reduction
  • Customer Experience
  • Productivity Improvement
  • Scalability

Solution

In the fast-paced world of digital transformation, healthcare companies like Kry are leading the charge in adopting cutting-edge technologies that cut down administrative tasks and allow medical professionals to better focus on their patients’ well-being. Together, they are revolutionizing the way patients access healthcare, reducing administrative burdens for clinicians, widening limited healthcare resources, and ultimately, improving the overall quality of patient care. Kry has teamed up with Azure OpenAI Service to harness the power of generative AI. “Our tools are extremely good at understanding medical notes, conversations, and specific situations, then outputting the data into the most appropriate format.” For example, by transcribing doctors’ notes, pre-filling referral letters and performing administrative tasks more efficiently, AI allows Kry clinicians to focus on delivering better care, while ensuring patients can access the advice, care, and treatment they need in the most

Solution architecture

1 components · 1 layer
  1. Compute
    • Azure OpenAI Service Runs the generative AI experience that answers questions, summarizes content, or drafts outputs for users.

Architecture clues

  • By harnessing Azure OpenAI Service, Kry can analyze vast amounts of unstructured data from clinical notes and medical records.
  • Its tech platform, Kry Pro, is making it easier for healthcare professionals to deliver care, through automated admin and better communication.
  • Kry has teamed up with Azure OpenAI Service to harness the power of generative AI.
  • Kry is in a unique position to help deliver what is needed for healthcare, at scale and more efficiently, with generative AI playing a central role.
  • More personalized medicine done efficiently is key to us coping with increased chronic and complex disease—AI will be key in unlocking the long-term benefits.” With the help of Azure OpenAI Service, Kry can take personalization further, ensuring patients are connected to the right healthcare professional or advice faster while maintaining efficiency and quality of care.
  • This approach fosters confidence and collaboration between clinicians and the integration of AI technology.
  • To build trust with patients and clinicians, Kry is transparent about its AI integration.

Evidence from the source

Kry has teamed up with Azure OpenAI Service to harness the power of generative AI.
More personalized medicine done efficiently is key to us coping with increased chronic and complex disease—AI will be key in unlocking the long-term benefits.” With the help of Azure OpenAI Service, Kry can take personalization further, ensuring patients are connected to the right healthcare professional or advice faster while maintaining efficiency and quality of care.
Together, they are revolutionizing the way patients access healthcare, reducing administrative burdens for clinicians, widening limited healthcare resources, and ultimately, improving the overall quality of patient care.
“Our tools are extremely good at understanding medical notes, conversations, and specific situations, then outputting the data into the most appropriate format.” For example, by transcribing doctors’ notes, pre-filling referral letters and performing administrative tasks more efficiently, AI allows Kry clinicians to focus on delivering better care, while ensuring patients can access the advice, care, and treatment they need in the most efficient way.” “So far, we are aiming for the goal that increased efficiency from AI will increase clinician productivity by 20 percent, which over time could free up clinician time to the equivalent of an additional 10,000 patient appointments a month,” comments Conneryd Lundgren.
Transparency Evidence & methodology 75/100 reference value · 87% confidence · 1 source

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 value75/100
  • 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 impact15/25
    1 metric describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence87%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    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

    Kry customer story

    First-party
    https://www.microsoft.com/en/customers/story/1693712644049090392-kry-azure-open-ai-service-sweden
    Source type
    Vendor-published customer story
    Published
    Oct 24, 2023
    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

Date evidence

  • Published on source page Oct 24, 2023 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.