Evidence
Company

A young company, built on decades of experience

Evidence is an innovative AI and SaaS company. But our solution rests on long experience in change management, software development, operating and supporting scheduling systems, demand and capacity planning, and in leading both publicly and privately run healthcare.

300+
care and physician units since March 2023
60+
person-years in staffing and scheduling for complex 24/7 operations
25+
person-years tackling demand and capacity challenges in healthcare
Public & private
healthcare leadership at Karolinska, Södersjukhuset, S:t Göran and Capio
What we believe

The right staffing and good schedules start with a plan right-sized to demand.

The team

We are Evidence

Leadership

David Påhlman

David Påhlman

CEO and co-founder

Björn af Ugglas

Björn af Ugglas

COO and co-founder, PhD

Rebecca Palmgren

Rebecca Palmgren

Head of Product & Customer Success

Niclas Haner

Niclas Haner

Head of Development & IT Security

Board

Hans Wirfelt

Hans Wirfelt

Chairman of the Board

Tomas Movin

Tomas Movin

Board member · MD, Assoc. Prof. at Karolinska Institutet. Former Chief Medical Officer at Karolinska University Hospital and CEO of Södersjukhuset.

Gunnar Németh

Gunnar Németh

Board member · MD, Professor at Karolinska Institutet. Former CEO of Capio Global and S:t Göran Hospital.

Karin Svensson

Karin Svensson

Board member · former HR Director at Tele2, and Partner and HR Director at Accenture.

David Påhlman and Björn af Ugglas also sit on the board.

Research

Research-led, from doctoral thesis to product

Björn af Ugglas, co-founder and COO, earned his PhD at Karolinska Institutet with a thesis on demand and capacity imbalance in the emergency department and what it means for patients. That research is the foundation of Evidence.

Ongoing research areas

Predicting patient demand

Models that forecast patient volumes and case mix at strategic, tactical and operational level.

KFUPM

Acute flows

Models and ways of working for emergency departments, inpatient care, surgery and maternity.

Karolinska Institutet

Planned flows

Data and process mining to map care pathways and find low-value care.

KTH

Fair and sustainable scheduling

Optimisation that balances patient demand, cost and staff working conditions.

Karolinska Institutet

Leadership and governance

How leadership, organisation and decision structures affect outcomes in healthcare.

Karolinska Institutet

Implementation and value

How new systems and ways of working are introduced, and the value they actually create.

Karolinska Institutet

Publications

Thesis, reports and scientific papers.

FAQ

Frequently asked questions

Getting started
How much time does it take from first-line managers?
Since our first implementations we have seen it takes about 45 minutes with the care unit manager to create a production plan and model their activities in the tool. Evidence is designed for clinical leaders, so right-sizing a first plan needs no prior training. Managers tell us it saves time compared with hard-to-use spreadsheets.
How long does it take to get started?
The cloud service can be used a few days after an order is placed. We have a predefined format for loading historical activity, waiting lists, competencies and average salaries linked to your cost centres. A full rollout is phased: usually a few weeks to set up the project organisation and environments, and a pilot live within a few months.
Do we need Evidence if we already have a BI platform?
BI solutions are excellent for analysis, but reporting is static and depends on what is in the data warehouse. In Evidence, users create their own plans for activity, capacity, cost and staffing: data that exists nowhere else. Evidence of course integrates with your BI platform, both to retrieve and to share data.
Do you offer methodology support and consulting?
Yes. We have developed methodology, change-management strategies, organisational models and integration into existing management systems, with train-the-trainer education and a dedicated Customer Success Manager throughout the contract.
Scheduling
Do we need to schedule in Evidence if we use the demand and capacity planning module?
No, we can integrate with your existing scheduling system, connecting the chain between right-sizing and scheduling.
Can the system handle our collective agreements and working-time rules?
Yes. Working-time law, collective agreements and local rules (daily and weekly rest, hours, on-call, standby, weekend work and competence requirements) are configured as hard, medium or soft rules. Hard rules are never broken during optimisation, and manual planning triggers warnings. Rule changes are date-driven.
Can we control how the optimisation prioritises?
Yes. The engine has more than 60 parameters weighted by your organisation's priorities. They are set during implementation and saved as optimisation templates, so everyday users don't have to deal with the complexity.
How do you make sure the schedule is fair?
With Evidence Index™, a fairness index that ensures comparable staff groups get an even share of granted preferences and unsocial shifts over time.
Can staff submit preferences and swap shifts themselves?
Yes. In the mobile app, staff see their schedule and balances, submit preferences and vetoes, set availability, request leave and swap shifts through a rule-based shift exchange. The AI assistant Evi makes sick calls and finding a colleague to swap with easy.
How are substitutes and hourly staff handled?
Open shifts can be published to internal substitute pools or external staffing agencies. Substitutes and hourly staff set their availability and book open shifts in the app, governed by rules and permissions.
Integration, security and contracts
Can you integrate with our HR system so we don't maintain two staff registers?
Yes. Evidence reads staff lists, worked time and planned and actual absence via the HR system's API, your data warehouse or the Evidence REST API.
How is worked time transferred to payroll?
After approval, time, overtime and time banks are exported to payroll via configured payroll files or API, with no double entry. Transfers can run in real time, on a schedule or in batches.
Where is our data stored?
On Microsoft Azure, stored in Sweden. Data is separated per customer and never leaves the EU/EEA.
What does the licence model look like?
An annual licence based on the size of your organisation (number of staff or units covered), with unlimited users. Implementation is priced separately.