Microsoft Medical Media Lab Internship Program

M3 LabResearchers and technologists interested in building technologies that save lives and can change the future of healthcare by improving the user experience, are encouraged to apply for opportunities within the Microsoft Medical Media Lab (M3 Lab) in Washington D.C.

The M3 Lab is an active, enthusiastic, energetic lab dedicated to Healthcare Concept Development. Projects span a wide range of advanced technologies including: ultra wideband tracking and RFID, data visualization, search in healthcare, communications, surface computing, augmented / virtual reality and robotics.

M3 Lab researchers can split their time between Microsoft’s headquarters in Redmond, Washington and also the nation’s capital in Washington D.C. After researching the latest technologies on the campuses of Microsoft Research, researchers deploy their technologies into live clinical care at leading hospitals in the nation located in Washington D.C. You will be exposed to real hospital settings and a live deployment of MS Amalga.

A typical internship includes analyzing the hospital systems, interacting with clinicians, hospitalists, researchers and engineers followed by some innovative software development to bring your ideas to form.

Researchers have the opportunity to see their technology make a difference in patient's lives. Opportunities are available year-round, range from 3–6 months, and include funding for travel, housing, software and hardware, and a stipend.

Here are a few current Healthcare Concept Development areas:

Cloud Computing

Cloud computing has clearly shown merits of on-demand processing, ease of deployment and cost effectiveness in supporting demanding apps. Given the sheer volume of storage and processing involved in healthcare data we are exploring ways to use the Cloud for supporting the next generation of healthcare apps.

Ultra-Scale Displays in Healthcare

Large video displays are rapidly dropping in price. Within a decade, wall-sized displays could be common across healthcare. Build the display interfaces that will span the walls of the healthcare enterprises of the future.

Surface Computing

Microsoft Surface technology has opened new opportunities for collaborative exploration and knowledge sharing. Build collaborative data visualization and interaction tools on this exciting new platform to enhance delivered care.

We are also interested in developing relics, medical data viewers and non -conventional user interfaces to support intuitive interaction and collaboration at the nursing stations, triage desks and patient handoff.

Medication Reconciliation

Today, hospitals have great difficulty capturing the list of medications from a person as they enter a hospital and successfully reconciling the medications as they leave — so nothing is forgotten. Changes in doses, routes, drug classes and formulations are difficult to semantically correlate. Design and apply the optimal technologies to help hospitals solve the important medication reconciliation challenge.

eDocumentation

50% of a nurse's day is spent entering data into computers. New technologies abound to capture digital information. Create the optimal design for software to capture data from healthcare workers who are using keyboards, mice, Ink, Speech, or all in tandem.

Web 2.0 in the Healthcare Enterprise

Web 2.0 has been described (by some) to mean the emergent benefits gained when users become not only consumers of content, but collaborative creators of content as well. Build new social networks to harness the collaborative, creative powers of the members of the healthcare enterprise to collectively improve the quality of delivered care.

Enterprise Healthcare Search

Apply Web-type search technologies to data-cores within the hospital enterprise to meet knowledge and informational needs that previously could not be met.

Communications

Critical to clinical care is rapid, effective communication. Build technologies to unify and optimize communication technologies, such as e-mail, voicemail, VoIP, instant messaging, white-boarding, collaborative case review, and intra-hospital teleconferencing.

We are interested in a multimodal delivery of the information specifically speech controlled interfaces, IVR access to medical data and Smartphone interfaces. We are also interested in expanding and streamlining the patient/family and clinician communication to provide timely care.

RFID in Healthcare

The M3 Lab MidAtlantic testbed hospital in Washington D.C. is the world's largest civilian deployment of ultra wideband tracking technology. Build technologies to demonstrate how tracking technologies can make a difference in patient's lives.

Specifically we are interested in proximity sensing and its interaction with data to enable near field communications.

Full Media Encounter Capture

Providers spend vast amounts of time documenting encounters with patients. Capturing audio or video data using technologies like SenseCam throughout a clinician's day could replace the onerous documentation requirements driving up costs and draining efficiencies in healthcare. Design the systems to ubiquitously and automatically capture the audio and video encounters of patients in the hospital.

Natural Language Processing in Healthcare

Gartner estimates 80% of data in healthcare is unstructured. Extracting structured data from unstructured data is considered the "next" important development that could dramatically impact the quality of delivered care. Build and apply NLP tools to solve data extraction and meta-tagging challenges across enterprise healthcare.

Gaming and traditional media interface

Healthcare delivery is done to a large audience which is not software savvy and we can't assume every person to have ready access to a PC/smartphone type device. We are interested in developing medical data interfaces on TV's and gaming devices which still are more common and cost effective than the PCs.

Data visualization

Healthcare presents interesting challenges for data visualization. We are exploring Novel techniques to present dense data in a usable form. Build viewers and manipulation tools employing strength of MS Excel, Robotic Studio, BI stack and workflow builders. Build cubes and geospatial data visualization for decision support with novel techniques to handle temporal data.

Visual Workflow construction and manipulation

Healthcare workflows have evolved over a long period of time to their current stage. We are interested in exploring the possibilities of applying cutting edge workflow frameworks to give the healthcare workers tools to automate their workflows using smart workflow builders. We also strive to provide the ability for the hospitalists to manipulate these workflows intuitively and provide intuitive user configurable decision support.

Apply for an internship.