What We Do
docology is the AI-powered workflow layer between your fax machine and your EMR. When medical documents are received, we automatically capture, classify, and integrate them to the correct patient chart. Then, the docology AI reads every page to generate a concise HPI summary and medical timeline for each patient.
Providers & nurses are able to operate at the top of their license, staff spends more time on revenue driving activities like pre auths & scheduling, and your entire intake process becomes consistent, searchable, and scalable.
The People Behind docology
Andrew Rogers
Andrew attended Creighton University and graduated from the Heider College of Business. He has an extensive background in product and business strategy, mergers and acquisitions, and human capital management. Andrew is a three time founder, successfully scaling companies from $100 million to $1.2 billion valuations and over $150m in ARR.
Sida Niu, MD
Sida attended the University of Kansas where he earned his Bachelor of Science in Chemical Engineering with distinction. He received his medical degree from the University of Kansas Medical Center where he completed his residency in urology. He is a board-certified urologist practicing in a high volume, innovative private practice in Omaha, NE.
Tyler W.G. Hamik
Tyler brings a blend of healthcare empathy, AI expertise, and enterprise-level strategic leadership to docology. With experience serving both Omaha-based startups and national technology companies, he focuses on building relationships rooted in trust and clarity. His background includes studies at the University of Nebraska–Lincoln and multiple AI certifications from Rutgers and UPenn, which has enhanced his passion to help people by guiding them through complex change management & how the AI revolution is perfectly suited to improve the lives of physicians & their clinical staff.
Alex DeBrie
Alex is an engineer and author known for helping teams build reliable, high-scale systems. Before docology, Alex ran a technical consultancy where advised companies across healthcare, finance, and enterprise software on data modeling and distributed system design. He is also the author of The DynamoDB Book, a widely used guide to data modeling and performance optimization. At docology, he brings deep experience in AI, infrastructure, and workflow automation to help providers streamline clinical operations with clarity and precision.
Emily Foutch
Emily completed her undergraduate studies at the University of Nebraska–Lincoln before earning her master’s degree in speech-language pathology from the University of Kansas. With diverse clinical experience across more than a dozen facilities nationwide, she bridges the gap between technology and everyday practice, helping physicians and clinic teams integrate AI solutions with clarity, efficiency, and confidence.