Practicums

As a requirement of the Program, each student must complete a practicum to give them direct exposure to the health care system. These projects must be approved and are conducted in the Duke system. Examples of practicum projects include:

Conduct EHR Data Needs Assessment of Duke Cancer Institute (DCI) Stakeholders and Prioritization of Work based on Alignment with DCI Strategic Plan

This Practicum will obtain the voice of the customer by interviewing DCI’s stakeholders to understand the current need for EHR data, the common themes in those needs amongst varying stakeholder groups, and recommendations on how the clinical data strategy team can best address those needs. In addition to interviewing DCI stakeholders, you will assist in reviewing the DCI strategic plan from DCI leadership to determine how to best prioritize the EHR needs of DCI stakeholders based on the strategic priorities of DCI leadership.

Evaluate A Duke Health Technology Solutions Transition to a Revenue/Margin Generating Business Model

Through the evolution of Service Based Costing, enhanced IT Service Management, and the implementation of a Cost Transparency tool it has become very apparent within Duke Health Technology Solutions (DHTS) that the IT customer population has very different needs and requirements in order to further their individual missions.  DHTS has a certain level of responsibility to enable customers to meet these goals through our IT services.

The Practicum takes a hard look and considers how financial models could evolve to accommodate financial constraints through alternate pricing strategies and possibly an alternate internal funding model that would allow for the generation of revenue and pricing margins.

Virtual Advisory Council

In the ever-evolving environment of healthcare delivery, Duke Health is looking to differentiate itself by providing a world class digital experience. The most critical piece of creating this experience is understanding what health care consumers actually want from the technology that supports their health care and general health and wellness.  With this in mind a Virtual Advisory Council will be set up that gives access to a large and diverse group of e-advisors.  Work was done with the Patient and Family Advisory Council leadership to afford the greatest impact.
A Virtual Council gathered patient insights related to: Experience, Perceptions, Wants and Needs, Aversions, Intentions, New Ideas and Opportunities, Product and Service Design and Improvements

Through various methods of assessment (market research literature, design principles, interviews of various stakeholders etc.) the MMCi team will document best practices for a virtual council, ideal design/structure of a council, along with demonstrating the value/ROI of such a program in consideration of the costs to implement.

It’s Time for My Meds

Building a new healthcare application prototype (mobile or web) gave students hands-on experience with a “real-world” project that will meaningfully impact patient care at Duke University Health System. This specific application will take in a patient’s medication list from the electronic health record, import the dosing schedule into a calendar app (or Google calendar), and then push reminders/alerts to the patient when it is time to take their medications. Further, using the iOS Reminder app, the patient may also set up location-based alerts to receive notifications of prescriptions ready for pickup when they are in close proximity to their pharmacy.

Create Timing Guidelines For Patients Transferring Into Duke University Health System (DUHS) Based On Patient Needs

The DUHS Transfer Center supports the movement of patients from non DUHS hospitals into one of the DUHS hospitals (Duke University Hospital, Duke Regional Hospital, and Duke Raleigh Hospital).  On any given day, there are more patients needing access to any of these hospitals than there are beds available.  This has led to the need to create waitlist for patients.
This Practicum:
▪  Assessed current populations and waitlist processes
▪  Analyzed data to understand patient arrival patterns and outcomes
▪  Created recommendation for prioritization of transfers based on diagnosis and outcomes

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