We feature speakers at Big Data Bootcamp Dallas - TX May 5 - 7, 2017 to catch up and find out what he or she is working on now and what's coming next. This week we're talking to Scott Roloff, Advanced Analytics Services, IntegerHealth Technologies.
Interview with Scott Roloff
1. Tell us about yourself and your background.
I’ve had a very eclectic career, which has culminated in a unique blend of accounting, legal and operational experience. I’m now the President and one of the founders of IntegerHealth, a healthcare technology company that uses advanced data analytics to help self-insured employers decrease the costs of their healthcare plans, while improving the care that their employees receive and getting them back to work faster. I’m both a CPA and a lawyer and before IntegerHealth I was the CFO or the General Counsel for companies in the healthcare, software and telecom industries; and I also ran a venture backed first-of-its-kind technology start-up in the Caribbean that allowed tourists denied roaming privileges by their home operators to use their cell phones while on vacation. Before that I was a Corporate Partner in the international law firm of Akin, Gump, Strauss, Hauer & Feld, where I focused on M&A, SEC and general corporate matters.
2. What have you been working on recently?
I’ve been very busy with IntegerHealth. We blend the medical and pharmacy claims and HR records of the employees to identify the high value providers in the network for each condition, based not only on the claims, but on how fast the doctors gets the employees better and back to work, and then we use that information to steer all of the participants in the plan‒the employees along with their spouses and children‒to those high value doctors. What we’re doing is so different that we have a patent pending on it that should issue in a few months.
3. What would be your pitch to folks out there to join IntegerHealth? Why does IntegerHealth matter in the world?
Until IntegerHealth, no one had been able to figure out how to measure “value” or “quality” in healthcare. Everyone focused on the claims costs, not whether the patient actually got better, and how long it took to do so. In an attempt to measure quality, the government and insurance companies used checklists of process based measures harvested from the claims data as a proxy for quality, like whether the doctor scheduled a mammogram for a female patient over 50 years old, but checking off a box on a checklist doesn’t answer the question‒Did the patient get better and how long did it take? By juxtaposing the claims data against the HR records where the outcomes of those claims live we can now can answer that question.
4. What are some of the best takeaways that the attendees can have from your "Decreasing Healthcare Costs While Improving Care with Data Analytics" talk?
An insurance company’s provider network is not Lake Woebegone‒all of the doctors are not above average. Exactly half are above, and half are below. A self-insured employer is in a unique position because it owns the claims that it pays, and by juxtaposing those claims against its HR records the employer can identify the best doctors in its network for each diagnostic condition. The result of sending its employees and their dependents to those better doctors is lower costs‒ because good healthcare costs less than bad healthcare‒and better care!