Case management programs for high-need high-cost patients are spreading rapidly among health systems. PCORNet has substantial potential to support learning health systems in rapidly evaluating these programs, but access to complete patient data on health care utilization is limited as PCORNet is based on electronic health records not health insurance claims data. Because matching cases… Read more »
Protocols encourage healthcare team communication before and after primary care visits to support better patient care. Physical clinic environments may influence these behaviors, but limited research has been performed. The UW PATH collaborative explored how two different primary care clinic physical layouts (onstage/offstage and pod-based [PB] designs) influenced pre- and postvisit team experiences and perceptions.
Recently, healthcare has seen a sharp rise in the implementation of machine learning derived algorithms for predicting risk across a broad range of clinical scenarios. The Number Needed to Treat Thresholding Toolkit created by HIP Investigator, Dr. Brian Patterson of the BerbeeWalsh Department of Emergency Medicine, allows users to generate similar graphs, either from raw… Read more »
Predictive analytics has the potential to transform the health care system by using existing data to predict and prevent poor clinical outcomes, provide targeted care, and lower costs. A challenge for health systems is selecting and implementing predictive models within clinical and operational workflows. To guide health systems through the process of selecting and implementing… Read more »
Machine learning is increasingly used for risk stratification in health care. Achieving accurate predictive models do not improve outcomes if they cannot be translated into efficacious intervention. HIP Investigator, Dr. Brian Patterson et al. examined the potential utility of automated risk stratification and referral intervention to screen older adults for fall risk after emergency department… Read more »
The Case Management Benefit Scoring System Toolkit is now available on HIPxChange. Dr. Maureen Smith (HIP Investigator), Dr. Menggang Yu (HIP Investigator), and Dr. Jared Huling (an Assistant Professor of Statistics at The Ohio State University) partnered with the UW academic health system (UW Health) to implement a benefit scoring system that is used to… Read more »
HIP Investigator, Dr. Andrew Quanbeck published the toolkit, Decision-framing to Incorporate Stakeholder Perspectives in Implementation. Dr. Quanbeck is an assistant professor in the Department of Family Medicine and Community Health within the University of Wisconsin-Madison School of Medicine & Public Health. This toolkit contains information on how people make decisions, and how common decision-making biases… Read more »
With the growing cost of health care in the United States, the need to improve efficiency and efficacy has become increasingly urgent. There has been a keen interest in developing interventions to effectively coordinate the typically fragmented care of patients with many comorbidities. Evaluation of such interventions is often challenging given their long-term nature and… Read more »
Most evidence-based practices (EBPs) do not find their way into clinical use, including evidence-based mobile health (mHealth) technologies. The literature offers implementers little practical guidance for successfully integrating mHealth into health care systems. HIP Investigator, Dr. Andrew Quanbeck describes a novel decision-framing model that gives implementers a method of eliciting the considerations of different stakeholder… Read more »
In order to promote guideline-concordant opioid prescribing practices, a blended implementation strategy called systems consultation was pilot tested in four primary care clinics in one US health system. In this study, HIP Investigator, Dr. Andrew Quanbeck et al. described (1) how systems consultation worked during the pilot test and (2) the modifications necessary to adapt… Read more »
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