fbpx Improving Cancer Care with Predictive Analytics Engine | Leapfrog Technology


About 44% of men and 38% of women will develop cancer over the course of their lifetimes, meaning most families will be touched by the disease. Clinicast was an analytics company that aspires to develop an industry-standard health risk score, analogous to the FICO credit score.

With data increasingly becoming the lifeblood of the healthcare industry, Clinicast wanted to build the language of data-driven healthcare. It is a huge challenge for oncology providers’ aggregate diverse data sources in order to match the right patient with the right intervention at the right time, consistent with the best scientific evidence and resource constraints.

Jack Challis and Krates Ng were looking for a team to build a predictive analytics algorithm for Oncology patients that helped health care stakeholders to make informed decisions and maximize outcome while minimizing cost. The measurements helped payers, providers, and patients personalize care pathways and achieve better outcomes, better adherence to evidence-based care, improved cost-effectiveness, and reduced expenses.

As a startup, they needed agility – the ability to move quickly and easily. They needed to innovate fast to win in today’s fast-changing world. Their goal was to match patients to appropriate pathways of care and track patients as their cancer evolve along with characterizing care gaps and potential overtreatment to help determine care priorities and enable the kind of cancer care they would want families to receive.


We plugged in the expert tech team chartered with a specific purpose and were extra experts on the project. Krates got access to the integrated team from the get-go. We integrated diverse data sources, performed a broad range of analysis —from populations to individual patients— and configured cancer care pathways.

Our team combined data from administrative, clinical, pharmaceutical, and survey-based sources to measure outcomes, quality of life, cost of care, and adherence to care pathways at the individual level. To measure the variance of care by patient demographics, site of cancer, provider, and geographic area and determine opportunities to reduce costs without adversely affecting the patient outcomes, our team built supporting mobile app to gather survey from patients exiting hospital care.

We collectively worked to design effective collaboration; formulating elegant software engineering solutions to a highly complex problem of improving cancer care.

Project info
Millbrae, California
Java, Couchbase, MySQL, Bootstrap, Highcharts, jQuery, and D3.js

Empowering data-driven healthcare.

<strong>Krates Ng</strong>, CTO and CoFounder, CliniCast

Krates Ng, CTO and CoFounder, CliniCast

As a startup, it is a big risk in both growing the team too fast and too slow. Leapfrog provides us the flexibility to rapidly scale our team up, and sometimes down.They have a wide range of technical talents to support us on different projects. They understand the changing technical needs of a startup and the experimentation that go with it.

Krates Ng, CTO and CoFounder, CliniCast


Clinicast in partnership with Leapfrog were able to turn their algorithm in reality that could create and tune optimal care pathways for Oncology patients using machine learning. We built a comprehensive oncology solution that enables providers to reduce the cost of managing cancer without compromising patient care. Clinicast’s ARTO™ Oncology platform enabled providers to reduce cost variation in managing cancer care without compromising on patient outcome or quality. Clinicast were able to reach their mission of building the language of data-driven healthcare, by empowering healthcare stakeholders to make informed decisions that maximize the and minimize costs. Clinicast was acquired by Elekta in 2015.