About Benjamin Resner

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So far Benjamin Resner has created 26 blog entries.

Best Practices for COVID-19 Data Management

As the COVID-19 pandemic quickly became our clients’ top priority many of them turned to us for support in tracking, managing, and reporting their growing COVID-19 population. We had emergency late-night and early morning meetings that augmented existing analytics dashboards with relevant data feeds ranging from very granular patient-level reporting to data aggregated by unit, hospital, county, and even state. [...]

By |2020-06-11T14:26:01+00:00June 11th, 2020|

The Importance of Managing Killer Data

I was recently talking with a power-user at a client hospital. She’s a senior data analyst and combines a rigorous engineering mindset with a deep cultural understanding of how the hospital actually works. She’s off-the-charts organized and confident in her work. While making small talk before a meeting, I asked her: “Do you have a clinical background — have you [...]

By |2020-03-30T18:39:33+00:00February 11th, 2020|

Validating Validation: How to Really Know Data is Accurate and Complete

Patients sending their physician a photo of a mole or other physical presentations of disease are often disappointed to learn they still need to be seen in person for a final diagnosis and treatment plan. While phone camera quality has improved greatly in the decade since they were first introduced, for many diagnoses there’s no substitute for being seen in [...]

By |2020-03-30T18:42:37+00:00October 22nd, 2019|

Data Tolerances and Intolerances

We all know getting accurate hospital data can be a challenge. These barriers have lowered expectations industry-wide for what counts as a usable data set. But it has lowered our tolerances in other ways as well. I was recently reading a peer-reviewed article in a respectable journal on various methods the author used to improve surgical block time utilization. In [...]

By |2020-03-30T18:43:29+00:00September 24th, 2019|

3 Steps to a Highly Successful Client IT Integration Project

Data is the foundation on which Hospital IQ’s predictive analytics platform is built. But getting the required data from hospitals is not always easy. Hospital IT departments are typically overworked and understaffed. Furthermore, external data requests from vendors typically take lower priority than internal requests from known entities. Given this challenging environment, we’ve found three universal principles that accelerate any [...]

By |2020-03-30T18:43:48+00:00September 3rd, 2019|

Software as a Coaching Service

I find swimming to be an effective analogy for the way hospitals and health systems work, so often frame my blog posts from that vantage point. For instance, I recently ran into a pool friend I’ve gotten to know over the years and asked him what he’s been up to. He excitedly replied, “I actually hired a swim coach. We [...]

By |2020-03-30T18:46:03+00:00May 21st, 2019|

Data Language: Why IT Needs a Seat at the Table

Co-authored by Ben Resner and Brandon Azoulai. Hospitals have historically been focused on providing an environment where doctors and nurses can provide excellent care for patients. In more recent years, pharmacists, physical therapists, dieticians, and many other allied health professions have been added to the core patient care team. However, IT professionals have traditionally been excluded from this team. This [...]

By |2020-03-30T18:50:18+00:00November 30th, 2018|

Teaching Hospitals How to Swim with Robust Data Analytics

I have two kids, but never got around to actually signing them up for swim lessons. Instead, I taught them to swim myself. I’m a swimmer, but not a swim instructor. I’ve never taught anyone to swim, and I never bothered to learn any formal swim training pedagogy. It was simply opportunistic lessons when we were visiting a hotel or [...]

By |2020-03-30T18:52:40+00:00September 4th, 2018|

Data Timeouts: Using the Right Data, Right Policy, and Right Process

The perioperative surgical timeout has become standard practice in the OR to reduce avoidable surgical errors by verifying right patient, right procedure, right site. As hospitals evolve to make more key decisions based on data, we’ve implemented an analogous “data timeout” process to make sure we are using the right data, right policy, and right process. This approach builds trust [...]

By |2020-03-30T18:54:03+00:00July 3rd, 2018|
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