데이터 기반 헬스케어 혁신의 부상과 대응전략 = Emerging Healthcare Innovations Driven by Data and Its Policy Implications

다국어 초록 (Multilingual Abstract)

The health care industry is traditionally defined as a industry that provides medical services for treatment and prevention. The rapid advance of information and communication technology, however, have accelerated the innovation in health care and extended the definition of health care to personal care. Hence, the recent heath care industry consists of hospitals and private companies who produce health management products, for example, digital sensors, wearable devices, next generation sequencing and so on. These innovations in health care sector with new technology generate the various personal health care data which is a core of the next innovation.
The health care data could be classified into four areas: medical electronic record, national health information, personal health record, and genome information. To manage these types of health care data in terms of generation, integration, analysis, and application, would be challenging because current health system and policy is still based on evidence-based medicine rather than precision medicine. On the other hand, the health care data would contribute on personalized suitable medical services as well as reduced medical costs.
Some countries have already paid attention to the importance of data in health care innovation. In case of USA, the open innovation supported by government and private sector keeps continued to build the sound ecosystem of health care industry. Especially, US government has restructured the payment system on the basis of health care data. On the other hand, UK fails to implement the NPfIT because of top-down approach from government and closeness of system operations. These two cases show that our government also considers the open innovation and incentive program to attract private sector in health care innovation driven by data.
This study examined and discussed how to develop appropriate policies and strategies for emerging health care innovations driven by data. First, it needs to build the governance structure which aims at the openness and the responsibility. A new organization that manages and integrates the entire health care data should be installed for inclusive governance to participate in various stakeholder. Second, financial incentive system for generators of health care data is also considered. Generators of health care data, e.g. hospitals, rely heavily on the government payment system in finance. Hence, the government investments to extend the infrastructure of health care data results in positive effects on spillover of health care innovation. Finally, two-track approach to utilize health care data is recommended. Horizontal approach to treat serious patients and vertical approach to care life-time health could be connected and integrated through health care innovation driven by data.

목차 (Table of Contents)

• [표지]
• [발간사]
• [목차]
• 표목차
• 그림목차
• [요약]
• 1. 연구의 개요
• 2. 헬스케어 혁신의 특징과 변화
• 3. 데이터 기반 헬스케어 혁신에 대한 주요국의 접근방식
• 4. 데이터 기반 헬스케어 혁신의 쟁점과 전략
• 5. 데이터 기반 헬스케어를 위한 정책 제언
• [제1장 서론]
• 제1절 연구의 배경 및 목적
• 제2절 연구 방법 및 구성
• [제2장 헬스케어 혁신의 특징과 변화]
• 제1절 헬스케어의 정의 및 특징
• 제2절 헬스케어 혁신의 과정과 한계
• 제3절 데이터 기반 헬스케어 혁신으로의 변화와 특징
• 제4절 헬스케어 데이터 구분과 활용 사례
• [제3장 데이터 기반 헬스케어 혁신에 대한 주요국의 접근방식]
• 제1절 방법론
• 제2절 미국
• 제3절 영국
• 제4절 한국
• 제5절 접근방식 비교 및 시사점
• [제4장 데이터 기반 헬스케어 혁신의 쟁점과 전략]
• 제1절 헬스케어 데이터의 사회적 쟁점 : 거버넌스
• 제2절 헬스케어 데이터의 사회적 쟁점 : 재정구조
• 제3절 헬스케어 데이터의 기술적 쟁점 : 데이터
• [제5장 데이터 기반 헬스케어를 위한 정책제언]
• 제1절 분석결과 종합
• 제2절 데이터 기반 헬스케어 혁신을 위한 제도 개선 방안
• 제3절 헬스케어 데이터 활용을 위한 two-track 연계 방안
• [참고문헌]
• [Summary]
• [Contents]
• [연구보고서 발간 목록]