創新網絡就在眼前
千里之行 始於足下

Building and Managing Innovation Networks

September 2018

2018-5-12(5/7) 高雄榮總研創中心 楊宗龍創新長 / AI 時代與未來醫療座談會 /高雄市醫師公會主辦 陳宜民立委 陳其邁立委 高醫大附設醫院 高雄榮總 合辦00028

馬太福音 9:37 要收的莊稼多,做工的人少

Medical AI and Blockchain 醫療論壇


xAPI, experience API, tin can for Moodle

https://moodle.org/plugins/mod_tincanlaunch

精準學習, 追蹤所有學習經驗

有趣的主題: uninterruptible power supply, MQTT

https://iotbytes.wordpress.com/monitor-ups-power-events-on-mqtt-client/

https://www.youtube.com/watch?v=p2CXhV-UZHU

UHC: universal health coin

https://medium.com/@uhctoken/universal-health-coin-9518ca3769cf

啟動 FHIR server

https://hapi.fhir.tw/

FHIR LOINC important resources


Sharing of recent Speech topics


PACS vendor strongly violate HIPAA in Taiwan

https://tw.appledaily.com/new/realtime/20180803/1404343/

https://news.tvbs.com.tw/local/988611

What Digital Transformation Means in 2018 and Beyond



KSVGH tags

Digital Transformation, which word matters

Creating a “digital strategy” can focus the organization in ways that don’t capture the true value of digital transformation.


Digital transformation

PMI: precision medicine initative

Precision medicineKSVGH tags

Graphen AI on Youtube

https://www.youtube.com/watch?v=YWXj1QIlb5U&feature=youtu.be

Smart Hospital Videos on Vimeo

KSVGH O.E. Blog Read More…

Healthcare Blockchain

https://revcycleintelligence.com/news/78-of-hospital-staff-still-face-manual-supply-chain-management

“Our survey found that many hospitals are experiencing patient safety issues that could be prevented through supply chain improvements. Ultimately, everyone at the hospital plays a role in advocating for a more efficient supply chain that will allow physicians and nurses to put their time to its best use: delivering high-quality care more effectively and efficiently.”

Keyword:
automated inventory management solution

Big Data for self harm and suicide

https://ajp.psychiatryonline.org/doi/10.1176/appi.ajp.2018.17101167

Conclusions:
Prediction models incorporating both health record data and responses to self-report questionnaires substantially outperform existing suicide risk prediction tools.
“We demonstrated that we can use electronic health record data in combination with other tools to accurately identify people at high risk for
suicide attempt or suicide death,” said first author
Gregory E. Simon, MD, MPH, senior investigator at Kaiser Permanente Washington
Health Research Institute.

A good article for AI related precision and recall

http://www.cnblogs.com/bluepoint2009/archive/2012/09/18/precision-recall-f_measures.html

例如:

  • Nodule detection: 59.80% @Recall1
  • Malignancy detection: 68.71% @Recall1
  • Recall tells us the percentage of nodules the algorithm catches, given a set number of false alarms. For instance, 60% for Recall@1 means it would catch 60% of tumors, with one false alarm per scan allowed. For the malignancy algorithm, its simply the percent of correctly identified nodules.

  • https://qz.com/1377825/we-trained-an-algorithm-to-detect-cancer-in-just-two-hours/

    Home Drug Delivery

    https://healthitanalytics.com/news/cvs-to-offer-nationwide-home-delivery-of-prescription-drugs

    KSVGH tags

    Big Data, Obese and city density 有趣的題目

    Maharana_2018_oi_180097KSVGH tagsKSVGH tags

    Blockchain

    Edward Bukstel@Medium
    https://medium.com/@Connected_Dots