[1] YANG Sen, WANG Haiyan,. Information collaboration analysis in different tiers of healthcare system with co-produced incentives [J]. Journal of Southeast University (English Edition), 2026, 42 (1): 138-146. [doi:10.3969/j.issn.1003-7985.2026.01.014]
Copy
Information collaboration analysis in different tiers of healthcare system with co-produced incentives(
)
分层医疗体系中基于协同激励的信息协作分析
)Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]
- Volumn:
- 42
- Issue:
- 2026 1
- Page:
- 138-146
- Research Field:
- Economy and Management
- Publishing date:
- 2026-03-20
Info
- Title:
- Information collaboration analysis in different tiers of healthcare system with co-produced incentives
- 分层医疗体系中基于协同激励的信息协作分析
- Author(s):
- YANG Sen, WANG Haiyan
- School of Economics and Management, Southeast University, Nanjing 211189, China
- PACS:
- C934
- DOI:
- 10.3969/j.issn.1003-7985.2026.01.014
- Abstract:
- Information collaboration is crucial for optimizing resource allocation and improving diagnostic efficiency across hospital tiers through enhanced information technology capacity. To characterize the dynamic decision-making mechanism between general hospitals (GHs) and primary healthcare centers (PHCs), a two-player differential game model was constructed to analyze the relationship between optimal investment levels and corresponding payoffs and explore how GHs can incentivize collaboration by adjusting their investment intensity and sharing PHCs’ costs. The results indicate that information collaboration is a win-win strategy. Its dynamic equilibrium shows that GHs make intensive efforts in the early stage of digital construction. However, such investment decreases over time as patient information accessibility becomes limited. Under the collaboration mode, although GHs’ digital investment is lower than that in the independent operation, the total system payoff significantly increases. This improvement arises because PHCs, with their locational and informational advantages, undertake major digitalization tasks, allowing GHs to focus resources on disease treatment. The introduction of collaboration incentives strengthens this performance improvement.
- 医疗信息协作是不同层级医院通过提升信息技术能力实现资源优化配置与诊疗效率提升的重要途径。为研究综合医院与基层医疗中心在信息协作中的动态决策机制,构建了基于微分博弈的双主体协作模型,分析最优投入水平与收益产出关系,并探讨综合医院通过调整投入力度和提供成本分摊以激励协作的作用机制。结果表明,信息协作本质上是双赢策略,其动态均衡特征体现为综合医院在数字化建设初期投入强度较高,但随着患者信息可及性受限,该投入呈时间递减趋势。在协作模式下,尽管综合医院的数字化投入低于独立运作水平,但系统总收益显著提升;究其原因在于,基层医疗中心凭借区位与信息优势承担主要数字化任务,从而释放综合医院资源聚焦疾病诊疗。协作激励机制进一步强化了此收益提升效果。
References:
[1]YARAGHI N, DU A Y, SHARMAN R, et al. Health information exchange as a multisided platform: Adoption, usage, and practice involvement in service co-production[J]. Information Systems Research, 2014, 26(1): 1-18.
[2]ADJERID I, ADLER-MILSTEIN J, ANGST C. Reducing medicare spending through electronic health information exchange: The role of incentives and exchange maturity[J]. Information Systems Research, 2018, 29(2): 341-361.
[3]HUANG Z, YUAN L. Enhancing learning and exploratory search with concept semantics in online healthcare knowledge management systems: An interactive knowledge visualization approach[J]. Expert Systems with Applications, 2024, 237: 121558.
[4]LI Y, LU L X, LU S F, et al. The value of health information technology interoperability: Evidence from interhospital transfer of heart attack patients[J]. Manufacturing & Service Operations Management, 2021, 24(2): 827-845.
[5]EFTEKHARI S, YARAGHI N, GOPAL R D, et al. Impact of health information exchange adoption on referral patterns[J]. Management Science, 2022, 69(3): 1615-1638.
[6]KIM K, TSE E T S. Dynamic search engine competition with a knowledge-sharing service[J]. Decision Support Systems, 2012, 52(2): 427-437.
[7]GOMES J, ROMÃO M. Information system maturity models in healthcare[J]. Journal of Medical Systems, 2018, 42(12): 235.
[8]NIU B Z, XU H T, DAI Z P. Check only once？ Health information exchange between competing private hospitals[J]. Omega, 2022, 107: 102556.
[9]CHENG N N, LI H F, BANG Y. Pay-for-performance schemes and hospital HIT adoption[J]. Decision Support Systems, 2023, 164: 113868.
[10]RAJAPAKSHE T, KUMAR S, SEN A R, et al. Sustainability planning for healthcare information exchanges with supplier rebate program[J]. Operations Research, 2020, 68(3): 793-817.
[11]LIANG Y X, ZHAO L D. Sustainability of health information exchange platform based on information cooperation[J]. Journal of Southeast University (English Edition), 2021, 37(3): 332-338.
[12]OZDEMIR Z, BARRON J, BANDYOPADHYAY S. An analysis of the adoption of digital health records under switching costs[J]. Information Systems Research, 2011, 22(3): 491-503.
[13]ZHAO J. Coordination of elderly healthcare service supply chain with information asymmetry: Designs of option contracts under different demand distribution statuses[J]. RAIRO—Operations Research, 2020, 54(5): 1291-1307.
[14]HE Y M, TONG X, RAN B, et al. Research on game strategies of participants in highway prevention and control of noise pollution[J/OL]. Journal of Southeast University (English Edition), 2025[2025-10-10]. https: //link. cnki. net/urlid/32. 1325. N. 20251010. 1030. 003.
[15]ZHANG Z G, YIN X L. Designing a sustainable two-tier service system with customer’s asymmetric preference for servers[J]. Production and Operations Management, 2021, 30(11): 3856-3880.
[16]CHEN W H, ZHANG Z G, HUA Z S. Analysis of two-tier public service systems under a government subsidy policy[J]. Computers & Industrial Engineering, 2015, 90: 146-157.
[17]YU M, ZHOU W, JIANG B W. Referral strategies and capacity decisions in a tiered hospital system with gatekeeping designs: Exemplified with Chinese healthcare system[J]. Computers & Industrial Engineering, 2022, 171: 108447.
[18]WANG J J, LI Z P, SHI J, et al. Hospital referral and capacity strategies in the two-tier healthcare systems[J]. Omega, 2021, 100: 102229.
[19]LI Z P, WANG J J, CHANG A C, et al. Capacity reallocation via sinking high-quality resource in a hierarchical healthcare system[J]. Annals of Operations Research, 2021, 300(1): 97-135.
[20]KIM I, SPRINGER M. Effects of waiting time information on the performance of a two-tier service system[J]. Journal of the Operational Research Society, 2024, 75(4): 634-646.
[21]ZHANG Z G, YIN X L. Information and pricing effects in two-tier public service systems[J]. International Journal of Production Economics, 2021, 231: 107897.
[22]ADIDA E, BRAVO F. Contracts for healthcare referral services: Coordination via outcome-based penalty contracts[J]. Management Science, 2018, 65(3): 1322-1341.
[23]ZHOU C H, LAN Y F, ZHAO R Q, et al. Incentive schemes for readmissions reduction in coordinating reverse referral healthcare services[J]. Computers & Industrial Engineering, 2023, 176: 108938.
[24]ZHOU C H, LAN Y F, LI W F, et al. Medicare policies in a two-tier healthcare system with overtreatment[J]. Omega, 2022, 109: 102607.
[25]SUN H, WANG H Y. Enhancing customers prevention efforts: An incentive feedback mechanism design[J]. Journal of Southeast University (English Edition), 2021, 37(4): 436-444.
[26]BRAVO F, LEVI R, PERAKIS G, et al. Care coordination for healthcare referrals under a shared-savings program[J]. Production and Operations Management, 2023, 32(1): 189-206.
[27]LIU H L, YU Y M, BENJAAFAR S, et al. Price-directed cost sharing and demand allocation among service providers with multiple demand sources and multiple facilities[J]. Manufacturing & Service Operations Management, 2021, 24(1): 647-663.
[28]JØRGENSEN S, TABOUBI S, ZACCOUR G. Retail promotions with negative brand image effects: Is cooperation possible？[J]. European Journal of Operational Research, 2003, 150(2): 395-405.
Memo
- Memo:
-
Received: 2025-06-17; Revised: 2025-11-04.
Biographies: YANG Sen (1994—), male, Ph.D.candidate; WANG Haiyan (corresponding author), male, doctor, professor, hywang@ seu.edu.cn.
Foundation item: The National Natural Science Foundation of China (No.72071042).
Citation: YANG Sen, WANG Haiyan. Information collaboration analysis in different tiers of healthcare system with co-produced incentives[J]. Journal of Southeast University (English Edition), 2026, 42(1): 138-146. DOI: 10. 3969/j. issn. 1003-7985. 2026. 01. 014.