Update projects.md

projects.md

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 After 17 years working on research and development of knee replacement devices, my redundancy from DePuy in September 2023 has provided me with the opportunity to consider my future career in healthcare technology. Over recent months I have had many great conversations, some with people I have known most or all of my life, and others with people I have only just met. These conversations have highlighted the importance of considering not only _what_ I do for work, but _why_ I do it. As we move into this period where Data & DHT will have significant societal impact, training is readily available to learn the new skills I need to support _what_ work I do. However, learning about _why_ I do that work is more of a personal exploration. This page is part of that personal exploration, and contains a collection of thoughs, ideas and potential projects that I feel I would highly motived to do, and interesting to work on.
+If any of this interested you enough to get in touch please reach out through [LinkedIn](https://www.linkedin.com/in/david-wolfson-6149a38/ "LinkedIn").
 
 ## resources 
 There was a lot of useful learning from #ldf2023 that might help with this, especially the hack at Aire Innovates. 
@@ -7,21 +8,27 @@ There was a lot of useful learning from #ldf2023 that might help with this, espe
   * https://simplifier.net/HL7FHIRUKCoreR4/~guides
   * https://simplifier.net/guide/uk-core-implementation-guide?version=current
 
-There were also some groups using Open resources, and especially while I'm not working for any particular organisation, it is a great opportunity for me to expore the 'Open' sector:
+There were also some groups using **Open resources**. I really like this approach and there are many advantages to working in the open wherever possible [citation needed!]. While I'm not working for any particular organisation, it is a great opportunity for me to expore the 'Open' sector and gives me some real material to work with:
   * Of particular interest is the [Open Data Saves Lives](https://opendatasaveslives.org/) project.
   * I'd like to read more about the [open outcomes](ahttps://apperta.org/openOutcomes/) project as well. This may have some info under the [Apperta Foundation gitHub](https://github.com/AppertaFoundation), and the [Clinical Knowledge Manager /(CKM)](https://ckm.apperta.org/ckm/) also looks interesting. 
   * [openEHR](https://openehr.org/) which [Ian McNicoll](https://www.linkedin.com/in/ianmcnicoll/) told me about, in particualr, see the [specifications](https://specifications.openehr.org/) section.
   * [UKCore Hackathon materials](https://simplifier.net/guide/UKCore-Hackathon/)
 
 ## Digitisation of patient monitoring
-There has been a specific [NHS initiative on Home monitoring of blood pressure(BP)](https://www.england.nhs.uk/ourwork/clinical-policy/cvd/home-blood-pressure-monitoring/):
-  * [Florence](https://florence.community/) (or Flo) is text message based system for home blood pressure reporting (Ian McNicoll also told me about this). _Does this flow directly to an EHR, or could a workflow be created to do so?_
-  * the NHS App has the facility for home reporting of BP, but it is burried extremely deep. _How can the usability of this be improved for increased uptake?_
-However, both these tools require accurate human transposition of the data. In 2021 a [paper](https://www.frontiersin.org/articles/10.3389/frai.2021.543176/full) was published that demonstrated proof of concept that smartphone technolgy can be used to automate this transposition (the code available via the [BPimageTranscribe github repo](https://github.com/cliffordlab/BPimageTranscribe)). _Therefore, could one create an app to capture BP reading from a machine (home or clinical) and push this directly to an EHR?_ The benefits would aims would be:
+Digitisation of health data is beneficial for individuals (they get better treatment) and the population (improved health and effiencies), and is a stated aim of the [NHS long-term plan](https://www.longtermplan.nhs.uk/online-version/chapter-5-digitally-enabled-care-will-go-mainstream-across-the-nhs/). While implementing new technology (e.g. connecting patient monitoring to wifi) is an obvious step for this, there is as significant estate of un-connected devices in use (e.g. [220,000 BP monitors distributed to peoples homes in 2020](https://www.england.nhs.uk/ourwork/clinical-policy/cvd/home-blood-pressure-monitoring/#:~:text=Since%20October%202020%2C%20over%20220%2C000,via%20a%20remote%20monitoring%20platform.)). The aim of this project would be to bridge the transition to connected monitoring, but providing tools to digitise that data. 
+
+
+However, both these tools require accurate human transposition of the data. 
+### aims: 
+create an app to capture BP reading from a patient monitor (home, primary or secondary care) using vision and push this directly to an EHR?
+### benefits:
   * reduce transposition errors
   * increase uptake of home monitoring
   * enable digitisation of data from existing estate (est. as hundreds-of-thousands) of un-connected monitors already in hospitals, clinics and peoples homes...
-
+### feasibility:
+  * In 2021 a [paper](https://www.frontiersin.org/articles/10.3389/frai.2021.543176/full) was published that demonstrated proof of concept that smartphone technolgy can be used to automate this transposition (the code available via the [BPimageTranscribe github repo](https://github.com/cliffordlab/BPimageTranscribe)).
+  * [Florence](https://florence.community/) (or Flo) is text message based system for home blood pressure reporting (Ian McNicoll also told me about this), and there has been a specific [NHS initiative on Home monitoring of blood pressure(BP)](https://www.england.nhs.uk/ourwork/clinical-policy/cvd/home-blood-pressure-monitoring/) _Does this flow directly to an EHR, or could a workflow be created to do so?_
+  * the NHS App has the facility for home reporting of BP, but it is burried extremely deep. _How can the usability of this be improved for increased uptake?_
   note: BP also forms part of the [news2](https://www.rcplondon.ac.uk/projects/outputs/national-early-warning-score-news-2) parameters. Could these be usefully put into an app? Some of these are subjective, so digitising their definition might be useful. It'd take significant validation though.
 
 ## the under-treated