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Team Name:

OpenHealth API


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Evidence of Work

OpenHealth API

Project Info

OpenHealth API thumbnail

Team Name


OpenHealth API


Team Members


Daniel Chong , Jacob K , Judy Kim , Reuben

Project Description


OpenHealth API transforms healthcare decision-making by connecting New Zealand's fragmented health data landscape. Our platform empowers healthcare providers with instant access to comprehensive patient information, enabling better care outcomes through intelligent data integration and AI-powered insights.

Key Features:

• Unified Data Access: Integrates data from hospitals, GP clinics, pharmacies, laboratories, and specialists into a single platform
• AI-Powered Insights: Intelligent analysis highlights critical information, drug interactions, and treatment patterns
• Real-Time Updates: Instant access to test results and medical records across all providers

Impact: Addresses critical healthcare challenges where clinicians report missing information in 13.6% of visits [1], with providers spending up to 10+ minutes unsuccessfully searching for patient data[2]. Our solution reduces administrative burden, improves patient safety, and enhances health equity—particularly benefiting Māori communities with improved healthcare accessibility.

[1] Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content - https://pmc.ncbi.nlm.nih.gov/articles/PMC7761950/

[2] Missing Clinical Information During Primary Care Visits - https://jamanetwork.com/journals/jama/fullarticle/200289


#ehr #api #healthcare #interoperability #ai #patient-records #medical-data #nz-health #data-integration #clinical-decision-support

Data Story


Healthcare providers face a critical challenge: essential patient information is scattered across disconnected systems. Research shows clinicians encounter missing clinical information in 13.6% of visits, including laboratory results (6.1%), radiology results (3.8%), and medication history (3.2%) [3]. This fragmentation leads to:

• Time Waste: 25.6% of searches take 5-10 minutes, with 10.4% exceeding 10 minutes
• Patient Risk: 44% of missing information cases are likely to adversely affect patients
• Care Delays: 59.5% of cases potentially result in delayed care or additional services

Our Solution: OpenHealth API creates a unified data ecosystem connecting public hospitals, private specialists, GP clinics, pharmacies, and laboratories. By centralizing access to patient records, we enable:

• Emergency Care: Dr. Williams in Christchurch can instantly access North Island patient records during critical situations
• Mental Health: Dr. Sharma can correlate physical and mental health data for comprehensive treatment plans
• Rural Access: Patients like Sarah McKenzie can access their health records regardless of provider affiliations
• Public Health: Epidemiologists can monitor disease patterns and implement early intervention strategies

Measurable Outcomes: Reduction in hospital readmission rates, decreased diagnostic delays, improved medication adherence, and enhanced health equity metrics—particularly for Māori populations who face accessibility barriers.

[3] Missing Clinical Information During Primary Care Visits - https://jamanetwork.com/journals/jama/fullarticle/200289


Evidence of Work

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Team DataSets

Ethnicity-Classification-Levels-List

Description of Use Level 2 Categories used for Datasets

Data Set

our-languages-o-tatou-reo

Description of Use used for preferred language category in mock datasets

Data Set

UAT-NHI-Records-Mod23-v2.xlsx

Description of Use Used to create general structure of health data

Data Set

Effects of Electronic Health Record Implementation and Barriers to Adoption and Use: A Scoping Review and Qualitative Analysis of the Content

Description of Use Fact finding: - the average number of task occurrences per hour for resident physicians increased significantly from 117 to 154 - shorter waiting times being observed among hospitals - Patients reported greater empowerment - Timely access to information, including laboratory results, radiology images and medication history were mentioned as supporting and speeding up care processes

Data Set

Missing Clinical Information During Primary Care Visits

Description of Use Fact finding. Missing information is costly in time and money.

Data Set

Data and Information Strategy for Health and Disability

Description of Use Validation of centralized data system benefit

Data Set

Challenge Entries

Unlocking Productivity Through Connected Health Data

How can governments and health care providers better connect healthcare data and systems to enable interoperability and boost productivity?

#Health-interoperability

Eligibility: Open to all teams with a lead based in New Zealand. Your solution will be measured against its relevance to the theme, practicality and scalability, whether it follows ethical and inclusive design, and its innovation.

Go to Challenge | 9 teams have entered this challenge.