2020 2학기 시스템종합설계(야간),1조
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1. 수행배경 현재 정부에서는 건강보험 보장성 강화로, 의료 접근성을 높이고 의료비 절감을 추진 중이지만, 지역 간 의료 불균형의 문제는 아직도 존재합니다. 따라서 현재 정부에서는 지역 간의 의료 격차를 줄이며, 의료서비스 이용에 대한 수도권 및 대도시 집중 완화를 위해서 필수의료시설 이용 지역균형 발전을 추진하고자 합니다. 이번 프로젝트로, 공공 의대 신설에 최적화된 입지를 선정하여, 공공 의대 신설을 추진한다면 지역 사회 내의 의료수요를 충족시키고, 의료서비스의 지역 불균형을 해결할 수 있을 뿐만 아니라, 현재 문제로 대두되고 있는 고령화에 따른 의료수요의 확대 및 지속적인 상승 추이(전체 건강보험 진료비 대비 65세 이상 노령인구 진료비 : 2015년 37.6%, 2017년 39.9%, 2019년 41.4%, 출처:건강보험공단)를 해소하는 데 도움을 줄 수 있을 것으로 보이기에 해당 프로젝트를 수행하고자 하였습니다. 2. 수행기간(2020.8.31.~2020.12.07.) 2020년 9월 : ∘ 브레인스토밍, 아이디어 회의 및 구체화, ∘ (2020.09.27.) 주제 결정 2020년 10월 (2020.10.01.~2020.10.12.) : ∘ 공공 의대 의료취약지 선정, 해당 분야에 대한 자료조사, 공공의대 의료 신설 최적 적합지 방법 모색 (2020.10.12.~2020.10.26.) : ∘ 공공 의대 선정 요소 및 세부 요인 설정 ∘ 의료인프라 요인에 대한 판단 DEA 활용 선행연구 참고 (2020.10.26.~2020.11.09.) : ∘ 공공 의대 선정 기준 요인별 규준화(정규화) ∘ DEA활용 방식에서 AHP 모델로 변경 (2020.11.09.~2020.10.23.) : ∘ 공공 의대 선정 요소 및 세부 요인 정정 ∘ 정규화된 자료 시각화 및 재구성 (2020.10.23.~2020.10.30.) : ∘ AHP 모델 엑셀 매크로 로직구축 ∘ 공공 의대 선정기준에서의 세부 요인 수정 및 타당성 재검토 ∘ 엑셀 원본데이터 기반으로 지도 시각화 ∘ 보건복지부 협조요청 ∘ 설문지 툴 작성 최종 점검 및 보완 2020년 11월 : ∘ 기존 설문지 툴에 What-if 분석을 통한 분석 방법 추가 ∘ 최종 PPT 작성 3. 개발작품 설명 판단자의 가치관이 반영된 요인별 중요도에 따라, 최적의 의료취약지이자 공공 의대 신설 최적지를 분석해주는 도구 의료취약지를 분석하여 최적의 공공 의대 신설 적합지를 밝힘 공정하고 효율적인 공공 의대 위치선정을 돕고, 대한민국 국민의 의료사각지대를 제거하는 초석 4. 활용방안 의료취약지를 기반으로 한 공공 의대 신설 최적 입지를 제시하고, 우선시되는 판단 기준에 따라 적용 가능한, 보다 객관적인 모델을 제시 평가 항목별 점수가 낮은 지역의 원인을 파악하고 개선 방향 수립 정부와 국민이 기대하는 객관적이고, 신뢰성 있는 판단 기준으로 위치선정 방법 제시 공공의대 입지 선정을 위한 다양하고, 폭넓은 필요기준을 충족 기존 연구자료들을 토대로 입지 선정 시, 외부의 개입을 배제하고 객관적인 판단에 도움이 될 수 있음과 동시에, 추후 정부 선정요인이나 기준이 바뀌더라도 판단자에 따라서, 가장 효율적인 결괏값을 도출해낼 수 있도록 도움 설문자에 판단과 각 요인별 중요도를 반영하는 최종취약지 선정 가능 의료정책 전문가, 관계기관, 의료공급자, 지지단체, 국민 등과 같은 주체의 판단 기준과 의견을 반영하여 그 값에 따라, 쉽고 빠르게 의료취약지를 선정할 수 있는 의료취약지 선정 도구 제작 의료취약지 확인 및 개선이 필요한 부분에 대한 모색 가능
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Hence, C was born in 1972 at Bell Laboratories. A remarkably simple and highly readable programming language resulted in groundbreaking advancements in the IT industry.
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C++ is an enhanced and extended version of C programming language, developed by Bjarne Stroustrup in 1979 as part of his Ph.D. project. Bjarne developed what he called ‘C with Classes’ (later renamed C++) because he felt limited by the existing programming languages that were not ideal for large scale projects. He used C to build what he wanted because C was already a general-purpose language that was efficient and fast in its operations.
✅C++ Career Prospects:
With just C++ programming expertise, you will have excellent job opportunities, salaries, and career prospects. However, for a career based on programming languages such as Java and Python (which are in more demand than C++) or for careers based on front-end, back-end, and full-stack
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2020 2학기 시스템종합설계(야간),1조
- 1. CPR
- 2. CPR 01 02 03 04
- 4. CPR ∙
- 5. CPR
- 6. CPR ∙ ∙
- 7. CPR
- 8. CPR 공정하고 객관적인 방법을 통해 공공의대 우선 필요 지역을 선정 “지방 소도시, 농어촌 등 의료서비스 취약지역, 공공보건의료 기관 및 인력이 부족한 곳은 많지만 예산은 한정적임 ”
- 10. CPR ( ∗ )
- 11. CPR
- 12. CPR 𝑋𝑖 − 𝑋 𝑚𝑖𝑛 𝑋 𝑚𝑎𝑥 − 𝑋 𝑚𝑖𝑛 𝑋 𝑚𝑎𝑥 − 𝑋𝑖 𝑋 𝑚𝑎𝑥 − 𝑋 𝑚𝑖𝑛
- 13. CPR 지역 치료 가능 사망률 (%) 서울 59.1 부산 75.2 대구 76.2 인천 74.5 광주 75.2 대전 66.8 울산 69.4 경기 65.9 강원 80.7 충북 77.2 충남 68.3 전북 71.3 전남 78.0 경북 78.3 경남 74.0 제주 58.8 𝑋 𝑚𝑎𝑥−𝑋𝑖 𝑋 𝑚𝑎𝑥−𝑋 𝑚𝑖𝑛 80.7 − 74.5 80.7 − 58.8 = 0.283 𝑋 𝑚𝑎𝑥 𝑋 𝑚𝑖𝑛 𝑋𝑖
- 14. CPR 𝑇𝑘 = σ(𝑁𝑖𝑗 × 𝑤𝑖𝑗) 𝑵𝒊𝒊 : 항목별 정규화 시켜 얻은 점수 𝒘𝒊𝒋 : 항목에 해당하는 가중치 값 = σ 𝑇𝑘 지역 연간의료이용률 의료자체충족률 수요 점수 가중치 0.237 0.211 서울 0.823 0.870 0.759 부산 0.193 1.000 0.435 대구 0.470 0.993 0.554 인천 0.856 0.546 0.689 광주 0.490 0.848 0.523 대전 0.531 0.840 0.653 울산 0.693 0.751 0.875 경기 1.000 0.428 0.835 강원 0.832 0.457 0.461 충북 0.630 0.338 0.513 충남 0.675 0.000 0.465 전북 0.000 0.814 0.224 전남 0.265 0.279 0.201 경북 0.608 0.022 0.318 경남 0.506 0.517 0.565 제주 0.507 0.766 0.619 𝑁𝑖𝑗 𝑤𝑖𝑗
- 15. CPR
- 16. CPR
- 17. CPR 평가 영역 평가요소 평가 지표
- 18. CPR
- 19. CPR
- 20. CPR
- 21. CPR 지역별 2018 공공보건의료기 관 의사 수(A) (명) 주민등록인구(B) (명) 인구 만명당 전문의수 (A÷B×10,000) 정규화 (이윤요소) 서울 3,011 9,765,623 3.08 0.704 부산 791 3,441,453 2.30 0.524 대구 807 2,461,769 3.28 0.749 인천 107 2,954,642 0.36 0.079 광주 597 1,459,336 4.09 0.936 대전 651 1,489,936 4.37 1.000 울산 2 1,155,623 0.02 0.000 경기 1,638 13,077,153 1.25 0.284 강원 488 1,543,052 3.16 0.723 충북 421 1,599,252 2.63 0.601 충남 172 2,126,282 0.81 0.182 전북 541 1,836,832 2.95 0.673 전남 409 1,882,970 2.17 0.495 경북 252 2,676,831 0.94 0.212 경남 1,013 3,373,988 3.00 0.686 제주 290 667,191 4.35 0.995
- 22. CPR 4. 각 기준이 의료 수요에 미치에는 상대적 중요도가 어떻다고 생각하십니까? 기준 절대적으로 중요함 동등하게 절대적으로 중요함 기준 중요함 연간 의료이용률 ⑨ ⑧ ⑦ ⑥ ⑤ ④ ③ ② ① ② ③ ④ ⑤ ⑥ ⑦ ⑧ ⑨ 의료자체충족률 연간 의료이용률 ⑨ ⑧ ⑦ ⑥ ⑤ ④ ③ ② ① ② ③ ④ ⑤ ⑥ ⑦ ⑧ ⑨ 의료수급권자비율 연간 의료이용률 ⑨ ⑧ ⑦ ⑥ ⑤ ④ ③ ② ① ② ③ ④ ⑤ ⑥ ⑦ ⑧ ⑨ 노인 인구 비율 의료자체충족률 ⑨ ⑧ ⑦ ⑥ ⑤ ④ ③ ② ① ② ③ ④ ⑤ ⑥ ⑦ ⑧ ⑨ 의료수급권자비율 의료자체충족률 ⑨ ⑧ ⑦ ⑥ ⑤ ④ ③ ② ① ② ③ ④ ⑤ ⑥ ⑦ ⑧ ⑨ 노인 인구 비율 의료수급권자비율 ⑨ ⑧ ⑦ ⑥ ⑤ ④ ③ ② ① ② ③ ④ ⑤ ⑥ ⑦ ⑧ ⑨ 노인 인구 비율
- 23. CPR 1. 가중치 산정 결과 연간의료이용률 의료자체충족률 의료수급권자비율 노인인구비율 가중치 0.2369 0.2114 0.3116 0.2400 2. 쌍대 비교 행렬 연간의료이용률 의료미충족율 의료수급권자비율 노인인구비율 의료연간이용률 1.00 1.19 0.71 1.21 의료자체충족률 0.84 1.00 0.72 0.91 의료수급권자비율 1.40 1.38 1.00 1.04 노인인구비율 0.82 1.10 0.96 1.00
- 24. CPR
- 25. CPR
- 26. CPR
- 27. CPR 02 0301 04
- 28. CPR
- 33. CPR 02 0301 04
- 34. CPR 최종 선정 지역 전라남도
- 35. CPR 공공의대 입지 선정 의료 취약지 확인 및 개선
- 36. CPR 설문조사의 질적 문제 최신 데이터 반영
- 37. CPR