AI summary & topic connections

Proposes privacy-preserving analysis linking medical claims with utility and device exposure data, including tower and smart-meter installation details, to investigate possible health associations.

  • Research & federal duties: “these companies might share their data for a joint comparison with medical records at a large scale if the government were to encourage it. (If the”
  • Surveillance & privacy concerns: “le to compile such an analysis while keeping patient data properly anonymized. Universities might also be able to compile anonymized data from”
  • Towers & siting: “ from different sources.) For instance, if a cell tower antenna is installed and then 20% of people who live within 150ft get ca”
  • Smart meters: “addresses would also be relevant. Dates that smart meters were installed by utility companies is also relevant data. (Desp”
  • Cancer & tumors: “and then 20% of people who live within 150ft get cancer within the next year, that should be easy to see by comparing ut”
  • Power lines, wiring & solar: “e) to various utilities such as cell towers, power lines, or other suspected hazards, if it could be done with proper res”

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ORIGINAL COMMENT · UNEDITED TEXT
I previously commented regarding my personal adverse health experiences with EMFs. I wanted to comment again specifically regarding potential research that could be done. I hold my PhD in computer science, but I've also spent most of my life involved in the medical research world in various forms, and I currently work for a major health insurance company. At my company we have considered the possibility of leveraging our massive datasets to check for correlations between patient health events/claims and proximity (in location or time) to various utilities such as cell towers, power lines, or other suspected hazards, if it could be done with proper respect for data usage rights. (An insurance company that already has the medical data might be able to compile such an analysis while keeping patient data properly anonymized. Universities might also be able to compile anonymized data from different sources.) For instance, if a cell tower antenna is installed and then 20% of people who live within 150ft get cancer within the next year, that should be easy to see by comparing utility data with medical records. But a proper study would need the utility companies to share their data, including dates of installation and the exact frequencies of different antennae, power levels, and so on. (Open/free datasets for cell towers are imprecise and largely unreliable.) Data for what phone models or laptops users purchase and when would also be relevant if it could be analyzed ethically. (Different devices have different characteristics for EMF in terms of both RF and short range standing electromagnetic fields.) Correlation with dates that patients moved to new addresses would also be relevant. Dates that smart meters were installed by utility companies is also relevant data. (Despite often being advertised as only broadcasting a few times per day, it is easy to measure that most models actually emit strong RF every 10-30 seconds. The power company just receives the update only a few times a day.) I see the possibility that these companies might share their data for a joint comparison with medical records at a large scale if the government were to encourage it. (If they think there is no medical harm, then it would be in their best interest to support the study to prove to the public that the technology is safe.) User device purchase data seems like the kind that is already sold by companies, but if there is a user privacy rights issue that of course needs to be a first priority. With whatever data can be collected, if there are harms from EMFs, and many suspect that there could be many bodily systems affected, this kind of study could unearth effects that are currently unknown or understudied. I am willing to be contacted for further discussion or collaboration on this idea if desired.