- 공지사항
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“결측치가 포함되어 있는 데이터 분석”에 대한 온라인 강좌 안내
아래 첨부파일을 확인해주시기 바랍니다.
2018.04.25
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2018년 한국보건정보통계학회 춘계학술대회
2018.03.07
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[서울대학교 보건대학원] 초청 세미나 공지,
[서울대학교 보건대학원] 초청 세미나 공지,많은 참석 부탁드립니다.
*일시 :2017년 1월
9일 오후 1:30
*장소 :서울대학교 보건대학원 221동 202호
*강사 : Emmanuel Jo, Health Workforce New Zealand, Ministry of Health
*제목 : Forecasting
future medical specialty workforces supply with age distribution using health
workforce annual practicing certificate data
Abstract Objectives: To introduce a newly
developed workforce forecasting model (the model) using historic annual
practicing certificate (APC) data to forecast future supply of medical
specialty workforce with age distribution for each specialty. Methods: We tracked individual
medical specialist APC data for the last 6 to 10 years to gather age or
age-group, specialty specific exit rates, full time equivalent (FTE) per head
count (HC) ratios, and entry/re-entry age distributions. These parameters were
used with an in-house developed dynamic modelling algorithm to forecast future
medical specialty workforce supply in New Zealand. The input parameters and the
model has been gradually improved and validated through numerous discussions
with medical colleges, and associations. Results: The model calculated
the age distribution of each specialty workforces over the next 10 years, and
projected that many specialty workforces may have a lower ratio of specialists
to corresponding population groups in 2026 compared to 2016 Conclusions: The model has opened a
new way of using APC data for evidence-informed planning and policy
development, and the outputs of the model have been used within the New Zealand
health sector. The model is easily scalable and can be adapted for other
workforces and used in regional workforce planning.
2018.01.04
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