Publications by authors named "V O Shaffer"

Article Synopsis
  • - Healthcare decision-making often relies on uncertain assessments of clinical and economic value due to incomplete or absent evidence, especially in areas like advanced therapies and rare diagnoses.
  • - Structured expert elicitation (SEE) helps gather and quantify expert knowledge about uncertain factors, utilizing various protocols to ensure more transparent and reliable assessments.
  • - The report introduces five SEE protocols, highlights their implementation differences, discusses their strengths and weaknesses, and suggests areas for further research without making specific practice recommendations.
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Background: Robotic surgery is perceived to be more complex in obese patients. Objective performance indicators, machine learning-enabled metrics, can provide objective data regarding surgeon movements and robotic arm kinematics. In this feasibility study, we identified differences in objective performance indicators during robotic proctectomy in obese and nonobese patients.

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Objective: To investigate the long-term outcomes of patients with combined primary sclerosing cholangitis/inflammatory bowel disease (PSC-IBD) undergoing both liver transplantation (LT) and total abdominal colectomy (TAC).

Summary Background Data: The fraction of patients with PSC-IBD that require both LT and TAC is small, thereby limiting significant conclusions regarding long-term outcomes.

Methods: Adult and pediatric patients from nine centers from the US IBD Surgery Collaborative who underwent staged LT and TAC for PSC-IBD were included.

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Introduction: Surgeon assessment tools are subjective and nonscalable. Objective performance indicators (OPIs), machine learning-enabled metrics recorded during robotic surgery, offer objective insights into surgeon movements and robotic arm kinematics. In this study, we identified OPIs that significantly differed across expert (EX), intermediate (IM), and novice (NV) surgeons during robotic right colectomy.

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