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Flagship case study · Workflow decision support

Designing Intelligent Healthcare Work Orchestration

Keeping operational queues accurate through explainable routing, eligibility, prioritization and exception rules.

AutomationHealthcareWorkflowProduct StrategyData Products

Workflow states, rules, thresholds, and examples have been generalized or modified for public portfolio use.

Ola’s roleProduct lead for workflow strategy, orchestration rules and prioritization
Product statusDelivered healthcare workflow product; public details are generalized
Product typeRules-based prioritization and workflow orchestration
Business problemA simple sorted list could not represent the work safely. The product needed to make priority understandable, keep state ownership clear, and surface enough context for users to review the recommended order.
Strategic decisionModel each work item in one primary operational state at a time.
Verified outcome98% functionality compliance through UAT

01 · Executive summary

The product challenge in one minute.

A generalized healthcare operations product that uses state transitions, eligibility rules, reason codes and aging controls to keep complex work visible, explainable and routed to the right queue.

02 · Context and business problem

Why the problem mattered.

Healthcare operations teams manage a high volume of work across several review and follow-up stages. The order of work changes as deadlines, responses, missing activity, and operational context evolve.

Business problem

What had to change

A simple sorted list could not represent the work safely. The product needed to make priority understandable, keep state ownership clear, and surface enough context for users to review the recommended order.

03 · Users and stakeholders

The people making, supporting and governing the decision.

Primary usersOperations specialistsOperations leadersReview teamsProduct analytics teams

Partnered with operations, UX, engineering, data, analytics, and review teams.

04 · Constraints and complexity

The happy path was not the product.

Timing, partial outcomes, missing data, conflicting state and system boundaries shaped the product strategy from the beginning.

CONSTRAINT 01

A work item changes state after a partial response

CONSTRAINT 02

Several dates create competing urgency signals

CONSTRAINT 03

Work continues after an incomplete outcome

CONSTRAINT 04

A closed encounter still has unresolved follow-up

CONSTRAINT 05

A required timestamp is unavailable

CONSTRAINT 06

A work item appears eligible for more than one queue

05 · Product strategy

Reduce ambiguity before adding automation.

The strategy connected the operating problem to explicit states, rules, ownership, exceptions and a measurable outcome. Product definition focused on the user decision and the behavior required to make it reliable.

Ola’s product-leadership role

Product lead for workflow strategy, orchestration rules and prioritization

Designed product rules and state transitions that kept work queues accurate, reduced wasted touches and returned work to the correct workflow when conditions changed.

06 · Prioritization decision

Choose the decision that unlocks operating value.

Model each work item in one primary operational state at a time.Primary strategic decision

The priority was selected because it addressed the core workflow constraint and created a foundation for safer automation, clearer ownership or more reliable downstream behavior.

See how the MIN–MAX Product Model supports strategic prioritisation and transparent trade-offs

07 · Workflow, rules and product model

The visible experience and the logic beneath it.

1Status-based queue routing
2Eligibility and ineligibility rules
3Return-to-workflow transitions
4Traceable reason codes
5Queue prioritization and aging controls
6Rules-based phase determination
7Exception handling
8Saved operational views

08 · Alternatives and trade-offs

Make product trade-offs explicit.

  1. 01

    Separate eligibility rules from priority logic so the product behavior remains understandable.

  2. 02

    Use generalized deadline, inactivity, and exception signals instead of exposing proprietary routing logic.

  3. 03

    Preserve saved views and return behavior to support real operating rhythms.

  4. 04

    Treat post-launch exceptions as signals for product improvement.

09 · Cross-functional leadership

Align domain expertise with technical delivery.

  • Mapped workflows with operations and domain partners
  • Translated behavior into stories and acceptance criteria
  • Partnered with UX on clarity and interaction patterns
  • Worked with engineering and data on rules and observability
  • Supported UAT, launch readiness, and post-launch monitoring

10 · Delivery and rollout

Connect discovery to release readiness.

Designed product rules and state transitions that kept work queues accurate, reduced wasted touches and returned work to the correct workflow when conditions changed. Delivery linked product rules to user stories, measurable acceptance criteria, UAT scenarios, operational readiness and post-launch monitoring.

Explore the Discovery-to-Optimisation Process for discovery, validation and release readiness

11 · Measurement framework

Define success before development.

The approved measurement focused on the operational result shown below, supported by workflow quality, exception and adoption signals.

12 · Results

Measured operating value.

98%functionality compliance through UATHealthcare workflow product

13 · Lessons and next decisions

Use evidence to decide what expands next.

Prioritization products are operational decision-support systems. They require clear state management, trustworthy data, and intentional exception handling.Product lesson
1

Calibrate priority logic with observed outcomes

2

Expand exception analytics

3

Improve row-level explanations

Related product artifacts

Sanitized examples, built for review.

See how product thinking becomes tangible through public-safe decision tools.

View requirements, roadmap, workflow and measurement examples in the Product Artifacts Library

Let’s build what matters

Looking for a product leader who can connect strategy, operations, automation, and technical delivery?

I bring the product judgment, technical fluency, healthcare expertise, and cross-functional leadership required to turn complex workflows into products that produce measurable value.