… From Data to Decisions: Leveraging Predictive Analytics to Transform for Hospital Readmissions … From Data to Decisions: Leveraging Predictive Analytics to Transform for Hospital Readmissions Topics Research Connect with Us Request Information Data … them for early follow-up after hospital discharge. This allows the primary care team to initiate proactive interventions rather than reacting to complications after …

… a dose, particularly if they lack a structured routine. This is especially true for asymptomatic conditions like hypertension, where the absence of symptoms reduces … leads to silent treatment failure and often isn’t discovered until a follow-up visit or acute episode occurs. Cost of medication remains a significant and often … [cited 2025 May 1]. Available from: https://bpspubs.onlinelibrary.wiley.com/doi/full/10.1111/j.1365-2125.2012.04167.x 6.    Effect of a Pharmacy-Based Health …

… Quantitative Methods With fellowship over, Reese Green heading to Scotland for new data challenge For Reese Green, it was a puzzle that had to be figured out. A … been doing during her six-month fellowship, with the help of her IHP education.  “I used a lot of the tools that we learned with, using R programming to clean the data … illustrate a bigger picture using puzzle pieces that now fit together. The team has everything in one spot now. That’s ultimately the backbone of this work.” …

… not just to keep up, but to develop the clinical reasoning skills essential for success in the profession.  “I didn’t know how I was going to get all of this … Design and National Exams Instructional Technology manager Greg Moore and his team are looking at how to leverage AI to improve the learning experience of students … leveraging AI tools to enhance speech-language pathology services, and that’s our ultimate goal,” he says, pointing to efforts to research the accuracy and limitations …

… graph indicates your expected progress and the estimated number of sessions needed for optimal recovery, based on extensive patient data. This integration of physical … treatment plans—embodies the future of personalized healthcare, with the potential for improved patient outcomes and greater treatment efficiency. The Role of Data … plans. However, the advent of data analytics has introduced tools that allow for the evaluation of treatment effectiveness based on comprehensive patient data. …

… enhances treatment efficacy and patient satisfaction. It is also helpful for predictive modeling to anticipate patient needs and identify potential health … reducing costs and improving patient experiences.   Opportunities in Big Data for Healthcare Innovation   Artificial intelligence (AI) and machine learning (ML) … diagnoses and to assist healthcare providers in making well-informed decisions. For example, ML tools can analyze electronic health records (EHRs) to identify …

… and innovative approaches to train students, develop educators, and strengthen team-based care or research practice. Suzan Kardong-Edgren, a simulation expert and … within the IHP School of Healthcare Leadership, says 2009 was a touchstone for the field. That’s when she joined the research team behind a two-year, randomized … including virtual reality with video-game style headsets and haptic gloves. “My ultimate goal?” she says with a wry smile. “High-quality simulation for all.” …