Defining and Designing a Population Health Platform from Scratch
Spring Hills moved its care team from spreadsheets to a custom population health application in one year. To date, the application has kept the 90-day readmission rate for the population Spring Hills manages under 10%, against a New Jersey state average of over 20%.
The foundation of the care team's workflow
In 2020, Spring Hills engaged HatchWorks to define, design, and develop a new population health software platform that would act as the foundation of its care team's workflow, and scale with the organization's business needs over time.
A growing care team, managed in spreadsheets
Spring Hills' population health program sought to define the patient assessments and care team member workflows necessary to positively impact patient outcomes. Assessment write-ups and care team tasks were initially managed in spreadsheets and static documents.
As the care team grew, static documents were not sustainable. A more automated system was needed to manage patient information and clinical tasks.
From in-person workshops to a branded design system
HatchWorks designed and built the population health solution to support configurable workflows based on user roles and medical scenarios, and on different types of health system customers and patient care periods.
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01
In-person workshops
The engagement kicked off with workshops defining the business case and market opportunity, and understanding the unique needs of nursing staff throughout patient management.
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02
Proof of concept, roadmap, and prototype
HatchWorks created a proof of concept, a product roadmap, wireframes, and an interactive prototype, interviewing stakeholders to define the targeted users and their critical tasks.
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03
Workflows become the product logic
Comprehensive user workflows and prototypes became the basis for the logic behind the task-generating functionality and the UX.
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04
Refined UX and a branded design system
The UX was refined with additional wireframes and a branded design system was created, setting the stage for engineering to continue development of the MVP.
Every stage produced something the next one could build on, so the launched MVP was already shaped by the care team's real tasks.
Launched in September 2020, spreadsheets retired the same day
The workflows helped Spring Hills refine internal processes to become more efficient. The design system established a comprehensive UX and clean interface, setting the stage for HatchWorks Engineering teams to continue development of the MVP.
The application launched in September 2020, and Spring Hills immediately transitioned from spreadsheet patient management to a custom application managing tasks and patient assessments.
To date, the application has reduced the 90 day readmission rate for the population that Spring Hills manages to under 10%.
Assessment write-ups and care team tasks managed in spreadsheets and static documents
Not sustainable as the care team grew
Workflows and assessments still being defined
A custom application managing tasks and patient assessments
Configurable workflows by role, medical scenario, customer type, and care period
90-day readmissions under 10% for the managed population
Readmissions, against the state average
Bars are drawn at the stated thresholds of 10% and 20% on a 100% scale.
90-day readmission rate, population managed by Spring Hills
New Jersey state average
engaged and launched, September 2020
About the work
About Spring Hills
Spring Hills operates assisted living, home care, memory care, post-acute care, and skilled nursing care centers across 7 states. Its population health management solutions serve patients in its facilities and populations managed by other health systems or payers, bringing together medical professionals, pharmacists, and social workers around value-based care metrics.
HatchWorks AI turns AI into ROI by automating key business processes, transforming data, deploying intelligent agents, and shipping AI-powered products that deliver measurable results. Its proprietary Generative-Driven Development methodology is a repeatable path from idea to production, blending AI, agents, and engineering to ship faster with less risk.
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