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Advanced Application Development

Disruptive Innovations & Population Health Technologies Laboratory

This laboratory targets care delivery solutions which address the failures and inefficiencies of existing fragmented systems of care. These solutions enable successful healthcare teams to more efficiently allocate time and resources for improved patient care and lower costs. The laboratory develops, implements and evaluates products that automate care processes, enhance the productivity of individual clinicians, and support team-based population healthcare delivery.

  • Scheduling Guidelines Application is designed to configure specialty scheduling rules into easy-to-navigate decision trees to increase the capacity of primary care offices and scheduling service departments to correctly schedule patients into specialty care.
  • Virtual Cohort Manager Application enables specialty physicians to monitor patient cohorts that they do not see in their offices through ongoing identification of high risk patients with acute needs.
  • SuperNote is an application that creates a pre-visit working document for providers to facilitate data stewardship (e.g., problem list reconciliation) while generating documentation for the patient's office visit.
  • Real-Time Care Gaps & Flow Application for hospitalized patients is an application designed to enable providers and nurses to prioritize their work based on the needs of all of the patients under their care in light of key dependencies and bottlenecks.

Learning Healthcare System Technologies Laboratory

This laboratory develops applications, methodologies and infrastructure to support widespread learning initiatives across healthcare institutions. 

  • Patient self-reported measures. This initiative applies quantitative and qualitative methods of inquiry and evaluation to discover how patients perceive, value, and understand their experiences.
  • Advanced EHR-based quality and value metrics. This initiative creates value-based performance measures using advanced methods of data capture and analytics.
  • Engaging patients and providers as partners in learning. This initiative redesigns care processes around the needs and experiences of providers, patients and their families.

Patient and Family Engagement Laboratory

Patient care is always delivered in a broader context, both across patient-centered domains (e.g., motivations, preferences, habits) and the domains of family, community and environment. This laboratory focuses on expanding patient and family engagement through health information technology.

  • OpenNotes for Caregivers is a patient engagement application which permits physician progress notes to be shared with patients through a secure patient portal. With the support of a Robert Wood Johnson Foundation grant, we are evaluating the costs and benefits of extending OpenNotes to adult patient proxies who are caregivers with formal access to a patient's MyGeisinger account.
  • Informal Caregivers Initiative. In this initiative, family involvement in patient healthcare is identified to improve family members' participation in healthcare processes and to evaluate the effects of interventions that address the patient-family caregiver dyad.
  • Advanced Care Planning. To improve care for patients at the end of their lives, the laboratory has launched a series of interventions and learning initiatives across the spectrum of care delivery. For example, we are investigating the feasibility of engaging patients through online and touch screen mechanisms to address Advanced Care Planning.
  • Predictive Risks and Shared Decision Making. The explosion of clinical data generated by electronic health records offers opportunities to share basic clinical information such as progress notes and laboratory results with families. Already, the availability of data has led to the development of predictive risk models for a variety of clinical scenarios, including the development of breast cancer, pediatric obesity, and 30 days mortality. The laboratory is investigating ways to translate these predictive risk models into better care, including a process of patient-centered and family-centered shared decision making.
  • Pediatric Obesity. Initiatives include Early Healthy Living, an evaluation of clinic solutions for in children age 0-2 years, and PREVENT, which addresses obesity solutions for children age 2-9 years.