A Bold Leap in AI-Powered Clinical Research
PointClickCare, a leading health technology company, launched Study Buddy on April 9, 2026 — the first AI-powered research platform built specifically for long-term care (LTC) data. This groundbreaking tool helps academic researchers, biopharma teams, and government analysts generate grant submission-ready evidence in minutes, not months. Study Buddy taps into one of healthcare’s most underutilized datasets and fundamentally changes how real-world evidence reaches clinical decision-making.
What Makes This Launch Historic?
Long-term care facilities house some of the most medically complex patients in the healthcare system. Yet, the data these facilities generate has remained largely inaccessible to researchers. Study Buddy changes that. By converting natural-language research questions into credible, study-ready outputs, the platform removes technical and regulatory hurdles that have long slowed LTC research.
What Is Study Buddy?
Study Buddy is a first-of-its-kind, AI-powered research platform designed to accelerate academic and clinical research using real-world evidence from LTC data. Researchers can type questions in plain language and receive structured, analytically sound outputs — including table shells ready for manuscripts, posters, and grant applications.
How Does It Work?
The platform uses structured prompt engineering, validated by PointClickCare Life Sciences experts. This ensures analytical consistency across every query. Moreover, the platform guides users through intuitive AI-assisted workflows for cohort creation, variable definition, and exploratory analysis. As a result, researchers focus on insight and interpretation rather than data management.
The Power Behind the Platform
PointClickCare holds the industry’s largest and most longitudinal LTC dataset, deidentified in full compliance with HIPAA. The dataset includes over 50 structured data points per resident per day, captured across extended care stays. Furthermore, it connects a network of 30,000+ provider organizations, 400+ integration partners, and every major U.S. health plan.
Unmatched Data Depth
This scale gives Study Buddy a clinical granularity that generic AI tools cannot match. The platform captures medication administration records, vital signs, laboratory results, and other nuanced clinical indicators. Consequently, researchers gain access to data that simply does not exist in most large-scale sources.
Breaking Down Barriers in LTC Research
Historically, LTC research has faced steep barriers. Researchers needed specialized technical expertise, regulatory knowledge, and months to complete feasibility assessments. Study Buddy eliminates these challenges. The platform enables rapid feasibility assessment, hypothesis generation, and study design — all without deep technical or regulatory experience.
From Question to Evidence in Minutes
Jeff Wessinger, Vice President and General Manager of Life Sciences at PointClickCare, explained the platform’s value clearly. “For the first time, researchers can move from question to grant submission-ready evidence almost instantly,” he said. This speed accelerates discovery, strengthens grant submissions, and supports more confident study design across the research community.
Built Exclusively for Long-Term Care
Unlike generic AI research tools, Study Buddy receives purpose-built design specifically for long-term care contexts. Sample queries come validated and tested by domain experts. Therefore, users can trust the outputs they generate, even without advanced data science skills.
Designed Around the Research Question
Traditional research platforms force users to navigate complex data models first. Study Buddy flips that approach. Researchers start with their research question, and the platform works backward to structure the analysis. This design philosophy reduces friction and keeps the focus on clinical insight rather than data architecture.
Expert Voices: Researchers Respond
Academic researchers have responded positively to Study Buddy’s launch. Daniel Harris, PhD, MPH, Assistant Professor of Epidemiology and PhD Program Director at the University of Delaware, highlighted the platform’s clinical depth. “It enables my team to measure medication administration, vital signs, laboratory results, and other nuanced clinical indicators that are simply unavailable in most large-scale data sources,” Harris noted.
Why This Matters for Geriatric Research
Harris further emphasized the real-world impact of the platform. Access to PointClickCare’s longitudinal dataset has, in his words, “fundamentally expanded the scope, precision, and real-world relevance of geriatric research.” For nursing home residents — one of healthcare’s most vulnerable populations — this level of research quality carries significant moral and clinical weight.
Who Benefits from Study Buddy?
Study Buddy serves a wide range of users across multiple sectors. Academic researchers gain faster access to evidence for publications and grants. Biopharma teams accelerate clinical study design. Government agencies and health economists can evaluate policy impacts more effectively. Additionally, epidemiologists and care quality researchers now have a powerful, accessible tool tailored to their specific needs.
A Platform for Collaboration
By simplifying data access and analysis, Study Buddy also promotes cross-sector collaboration. Teams across academia, industry, and government can now work from a shared evidence base — improving both the speed and quality of healthcare insights that ultimately benefit nursing home residents.
Conclusion
Study Buddy represents a pivotal moment for long-term care research. PointClickCare has transformed a clinically rich but historically underutilized dataset into an accessible, AI-powered engine for real-world evidence generation. Researchers across sectors can now unlock LTC insights faster than ever before — moving from question to grant-ready evidence in minutes. As AI continues to reshape healthcare, Study Buddy stands as a powerful example of technology serving both research rigor and patient care.
