James Norman

eHealth Technologies operations team used multiple systems with manual and repetitive processes. As VP Engineering, I led delivery of a custom cloud-based software solution. Created roadmap; hired offshore tech-stack SMEs; defined workstreams and dependencies; consolidated data structure; introduced project lines; worked with HR on redundancies and resource reassignment; and managed cultural transition. I succeeded in sunsetting 5 legacy applications, reducing >100 operations resources while… Show more

eHealth Technologies operations team used multiple systems with manual and repetitive processes. As VP Engineering, I led delivery of a custom cloud-based software solution. Created roadmap; hired offshore tech-stack SMEs; defined workstreams and dependencies; consolidated data structure; introduced project lines; worked with HR on redundancies and resource reassignment; and managed cultural transition. I succeeded in sunsetting 5 legacy applications, reducing >100 operations resources while increasing productivity by over 30%. Show less

UnitedHealth Group had an average 3-day turnaround time for prior authorization approvals. As VP IT, I created a machine learning model to automate approvals. Identified 83% of providers would submit prior authorization for <10 procedure codes; created a system that “knew” the provider; provided “templates” for fast entry; bundled all codes that would be approved for the procedure(s); and provided immediate auto approvals. I succeeded in significantly reducing the turnaround time to 3… Show more

UnitedHealth Group had an average 3-day turnaround time for prior authorization approvals. As VP IT, I created a machine learning model to automate approvals. Identified 83% of providers would submit prior authorization for <10 procedure codes; created a system that “knew” the provider; provided “templates” for fast entry; bundled all codes that would be approved for the procedure(s); and provided immediate auto approvals. I succeeded in significantly reducing the turnaround time to 3 minutes while improving customer NPS. Show less

UnitedHealth Group were looking for opportunities to reduce operations overhead. As VP IT, I created and launched a machine learning model that predicted payments / reimbursements by ICD-10, CPT and HCPCS code. Developed the model; ran it over historical data; refined the model; deployed to production; and turned feature on for operational go-live. I succeeded in automating approvals or denials of services, reducing headcount need by >80 and increasing automation. Target to improve model… Show more

UnitedHealth Group were looking for opportunities to reduce operations overhead. As VP IT, I created and launched a machine learning model that predicted payments / reimbursements by ICD-10, CPT and HCPCS code. Developed the model; ran it over historical data; refined the model; deployed to production; and turned feature on for operational go-live. I succeeded in automating approvals or denials of services, reducing headcount need by >80 and increasing automation. Target to improve model accuracy from 98% to 99+%. Show less

UnitedHealth Group had a growth sales opportunity for an international product. As VP IT, I created the solution and led software development. Led solution architecture; created roadmap; selected talent to build team; established presence in London; led technology design; partnered with client to deploy software on their infrastructure; trained operations team; and transitioned maintenance to local team. I succeeded in deploying initial platform to the UK NHS in 6 months, subsequently expanded… Show more

UnitedHealth Group had a growth sales opportunity for an international product. As VP IT, I created the solution and led software development. Led solution architecture; created roadmap; selected talent to build team; established presence in London; led technology design; partnered with client to deploy software on their infrastructure; trained operations team; and transitioned maintenance to local team. I succeeded in deploying initial platform to the UK NHS in 6 months, subsequently expanded to 7 more global customers over 12 months. Show less