I heard that Warren Buffett begins shareholder meetings with a list of mistakes, bad calls, things he wish had gone better--but didn't. Well if it is a best practice for WB, why not confess my own mea culpa?
“I did then what I knew how to do. Now that I know better, I do better.”--Maya Angelou
I relied on crap second-hand data. I know you can relate. We all did. The heavy peach, or low hanging fruit was impossible to resist. We created our own surveys based on weak or absent research methodology and performed a weak analysis of even weaker data.
Plan B--or maybe plan A in many cases included frantic searches through Pubmed. We were fueled by our insight or awareness that a survey must exist somewhere. Why not eliminate the middle man and apply pre-existing findings to what we hope to define as a persistent problem. Secretly we know that disease awareness is just a fancy name for marketing, so what's the harm?
I was recently asked about the pivot. When did I step away from "this is how we have always done it" to a level of insights worthy of informing and creating high-value behavioral change? I was interviewing with a high stakes Health Economics and Outcomes Research company. A remote managerial director asked about my process for developing manuscripts. I described the practice that had served me well for over a decade including a careful review of the data and a list of any lingering questions relating to economic models selected or statistical methods. She interrupted me stating that the data was too complicated for a writer and they would not need me to review or understand the data.
Okay so maybe it was more like a screeching spin-out rather than a pivot but I was more than slightly shocked. I did a few freelance projects for the team but soon learned that they were not particulary interested in insights or outside commentary--it was basically a secretarial gig--stay in the lanes of the solution we offer for a problem that may or may not exist.
You can easily fall in line and write what you are asked. Color inside the lines and nobody gets hurt. But the data intrigued me. We all have a mini super power and I have always had the knack of looking at technical information and following the thread to either additional insights or questions. I questioned answers with more voracity than I ever asked questions.
I am pulling all of the information I have learned along the way, into a blueprint of how you can scale your own data needs. You can pull together adverse event data, direct medical costs, hospital data, patient level event and disease state data--all from your own computer.
Comprehensive lists and workable examples from available databases, allowing rapid and accurate reproduction of workable strategies based on your specific needs.
Follow this link for pre-order promotional offers (when they become available) and read excerpts right here on the blog. Sustaining members will receive the PDF of the book at no cost so stay tuned.
Coming soon: Highlights from 2-day data workshop at Health and Human Services--Agency for Healthcare Research and Quality (AHRQ)
Thoughtful discussions about content development and outcomes analytics that apply the principles and frameworks of health policy and economics to persistent and perplexing health and health care problems...
Guy kawasaki--“I think you’re smart, so I’m not going to bludgeon you or trick you into becoming a customer. Try it, and then you decide.”
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In a world of "evidence-based" medicine I am a bigger fan of practice-based evidence.
Remember the quote by Upton Sinclair...
“It is difficult to get a man to understand something, when his salary depends upon his not understanding it!”