CLINICAL DOCUMENT SEMANTIC SEARCH
CLINICAL PRODUCT SPECIALIST MICHAEL HOSKING CHIA, MACHI | JULY 2018
SEMANTIC SEARCH MICHAEL HOSKING CHIA, MACHI | JULY 2018 CLINICAL - - PowerPoint PPT Presentation
CLINICAL DOCUMENT SEMANTIC SEARCH MICHAEL HOSKING CHIA, MACHI | JULY 2018 CLINICAL PRODUCT SPECIALIST Time The brute force approach Click, view, click, view 6 Research Contextual Inquiry Understanding the user problems
CLINICAL PRODUCT SPECIALIST MICHAEL HOSKING CHIA, MACHI | JULY 2018
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▸ Understanding the user problems ▸ Observational study conducted at North Shore Hospital in NZ ▸ Supported foundations for design sprint
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Manually look for specifics
Confident for Clinical Decision/Treatment
Day 2 Understanding the problem Discuss range of ideas
Day 1 Day 3 Consolidate ideas into a basic prototype Iterate Create a testable prototype for users
▸ Present user research from contextual enquiry ▸ Decide and align on the understanding of the problem
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▸ No idea constraints ▸ Multiple ideas for solving problem ▸ Short sketching exercises ▸ Withhold judgement
▸ “HMW enable clinicians to search/explore across a patient’s record?” ▸ “HMW show related clinical concepts present in a patient’s record?”
▸ “HMW highlight relevant segments of a clinical document?”
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▸ Review solution sketches and votes ▸ Which ideas are similar? ▸ Which are really different? ▸ As a group, combine ideas into one solution
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▸ Review solution sketches and votes ▸ Which ideas are similar? ▸ Which are really different? ▸ As a group try and combine the ideas into one solution
Converge
▸ Shared understanding that we want to enable a clinician: ▸ to quickly understand a patient’s medical history ▸ the ability to drill into relevant sections for more details ▸ Basic Prototype
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▸ Copy paste paradigm ▸ Capturing/surfacing context ▸ Data quality ▸ Availability of clinicians
▸ Continue iteration and clinical validation ▸ Develop a Proof of Concept with local data and clinical scenarios ▸ Measure success – compare time, accuracy and user satisfaction ▸ Develop product
▸ Design Sprints can be an effective tool for working with clinical end users ▸ SNOMED CT can support intuitive clinical interfaces ▸ Natural Language Processing can be limited by the original data
Michael Hosking CHIA, MACHI Clinical Product Specialist Associate Investigator Michael.hosking@orionhealth.com William Campbell Senior UX Designer