Precision PS

Direction and Animation by Kelsey Boncato
Music and Sound Design by Daniel Oldham

Give your doctor a movie, not a snapshot

Every 3 weeks, a cancer patient in chemotherapy spends about 8 minutes with their doctor. The data from the following 30,000 minutes is completely lost. We aim to quantify and utilize that data to provide better care.

Comprehensive Data Leads to Better Decisions

ATOM-HP is a clinical trial that uses an IoT approach to quantify a patient’s performance status by comparing lontitudinal data with physician assessed performance status. This is our first step in utilizing the other 30,000 minutes.

An IoT Approach to Patient Care

We are using a whole range interconnected sensors and devices to continually monitor the well-being of patients. With data collected from symptom monitoring and objective measures, we can create a safety net for cancer patients at home.

Objectively Measuring Performance

PrecisionPS combines the Microsoft Kinect, Microsoft Band, and the FitBit Scale to give comprehensive information. We collect data through clinical trials of outpatient monitoring with IoT devices and 3D-motion-capture of performance tests.

Let’s share this data with the people in control.

Patients know their health best. With the right tools, they can make the best use of their medical data, helping themselves and the community.

ASCO 2019 – Expanding clinical trial eligibility criteria: Risks and solutions


Performance Status (PS) of a patient is a clinical assessment that is key to understanding the patient’s fitness for the next treatment and is a critical determinant of how a patient responds to treatment. However, current PS evaluation is subjective, and patient-physician disagreement is associated with a 16% increase in the risk of death.

The Analytical Tools to Objectively Measure Human Performance (ATOM-HP) is a pilot project aimed at quantifying PS to complement the current clinical assessment. A more objective evaluation of PS will be obtained by tracking routine activities with consumer-grade biometric sensors and cameras and translating them into quantitative performance measures. In addition, an app designed for daily patient symptom reporting from a cell phone will collect daily ratings of fatigue, appetite, physical activity, sleep disturbance, and body weight.

ATOM-HP Primary Objectives:

  • Identify predictors of Hospitalization / Urgent interventions/ Dose Delays (Mission Failure)
  • Identify predictors of performance status score
  • Identify predictors of fatigue score

ATOM-HP is led by Dr. Jorge Nieva in Medical Oncology, Dr. Cyrus Shahabi in Computer Science, Dr. Joan Broderick in Social Science and Dr. Peter Kuhn in Physics Oncology with joint support from the National Cancer Institute and the Department of Defense.