Following an extensive literature review and drawing upon the authors’ professional experience as health services researchers and hospital managers, this article sets out the basic guidelines for hospital managers who are called upon to implement DRGs. The authors described ways in which hospital administrations can assess the positive effects of changes of DRGs and reduce the relevant risks accordingly. They highlighted the importance of effective human resource management and the role of education, while describing important changes that should be made in workflows, in the acquisition of new skills and the creation of new roles. Furthermore, this article explored the role of Information Systems and Artificial Intelligence in the context of this transition and proposed ideas for implementing useful tools through the development of new software that increases the accuracy of medical coding and reduces workload. These guidelines can serve as a springboard for hospital management to help them with the first steps of the implementation of the DRG system and its constant evolution. While the proposed guidelines offer practical direction for hospital managers implementing DRGs, their implementation is influenced by various financial and organizational challenges. However, their implementation is affected by various financial and organizational challenges that will have to be taken into account from the hospital managers.
References
[1]
Ellis, R.P. (1998) Creaming, Skimping and Dumping: Provider Competition on the Intensive and Extensive Margins. JournalofHealthEconomics, 17, 537-555. https://doi.org/10.1016/s0167-6296(97)00042-8
[2]
Newhouse, J.P. and Byrne, D.J. (1988) Did Medicare’s Prospective Payment System Cause Length of Stay to Fall? JournalofHealthEconomics, 7, 413-416. https://doi.org/10.1016/0167-6296(88)90023-9
[3]
Leleu, H., Moises, J. and Valdmanis, V.G. (2014) How Do Payer Mix and Technical Inefficiency Affect Hospital Profit? A Weighted DEA Approach. OperationsResearchforHealthCare, 3, 231-237. https://doi.org/10.1016/j.orhc.2014.06.002
[4]
Siciliani, L. and Straume, O.R. (2019) Competition and Equity in Health Care Markets. JournalofHealthEconomics, 64, 1-14. https://doi.org/10.1016/j.jhealeco.2018.12.002
[5]
Goddard, M. (2015) Competition in Healthcare: Good, Bad or Ugly? InternationalJournalofHealthPolicyandManagement, 4, 567-569. https://doi.org/10.15171/ijhpm.2015.144
[6]
OECD (2012) Competition in Hospital Services. Organisation for Economic Co-Operation and Development.
[7]
Raghupathi, W. and Raghupathi, V. (2014) Big Data Analytics in Healthcare: Promise and Potential. HealthInformationScienceandSystems, 2, Article No. 3. https://doi.org/10.1186/2047-2501-2-3
[8]
Busse, R., Geissler, A., Quentin, W. and Wiley, M. (2011) Diagnosis-Related Groups in Europe: Moving towards Transparency, Efficiency and Quality in Hospitals. Open University Press.
[9]
Palmer, K.S., Agoritsas, T., Martin, D., Scott, T., Mulla, S.M., Miller, A.P., et al. (2014) Activity-Based Funding of Hospitals and Its Impact on Patient Care. Health Policy, 115, 139-145.
[10]
Fetter, R.B. and Freeman, J.L. (1986) Diagnosis Related Groups: Product Line Management within Hospitals. TheAcademyofManagementReview, 11, 41-54. https://doi.org/10.2307/258330
[11]
OECD (2016) Better Ways to Pay for Health Care. Organisation for Economic Co-Operation and Development.
[12]
Chapman, C., Kern, A. and Laguecir, A. (2014) Cost Management and Compliance under Diagnosis-Related Group Systems. Management Accounting Research, 25, 154-168.
[13]
Kotter, J.P. (1995) Leading Change: Why Transformation Efforts Fail. Harvard Business Review, 73, 59-67.
[14]
Dong, F. (2020) Application of the DRGs and the Fuzzy Demand in the Medical Service Resource Allocation Based on the Data Mining Algorithm. IntelligentAutomation&SoftComputing, 26, 617-624. https://doi.org/10.32604/iasc.2020.013940
[15]
Wager, K.A., Lee, F.W. and Glaser, J.P. (2021) Health Care Information Systems: A Practical Approach for Health Care Management. John Wiley & Sons.
[16]
Fahlevi, H., Irsyadillah, I., Indriani, M. and Oktari, R.S. (2021) DRG-Based Payment System and Management Accounting Changes in an Indonesian Public Hospital: Exploring Potential Roles of Big Data Analytics. JournalofAccounting&OrganizationalChange, 18, 325-345. https://doi.org/10.1108/jaoc-10-2020-0179
[17]
Pongpirul, K., Walker, D.G., Winch, P.J. and Robinson, C. (2011) A Qualitative Study of DRG Coding Practice in Hospitals under the Thai Universal Coverage Scheme. BMCHealthServicesResearch, 11, Article No. 71. https://doi.org/10.1186/1472-6963-11-71
[18]
Cheng, J. and Zhao, Y. (2024) Study on the Impact of the DRG Model on Human Resource Allocation at Public Hospitals. JournalofInfrastructure, PolicyandDevelopment, 8, Article ID: 8172. https://doi.org/10.24294/jipd8172
[19]
Rodenberg, H., Shay, L., Sheffield, K. and Dange, Y. (2019) The Expanding Role of Clinical Documentation Improvement Programs in Research and Analytics. Perspectives in Health Information Management, 16, 1d.
[20]
Perkins, S.W., Muste, J.C., Alam, T. and Singh, R.P. (2024) Improving Clinical Documentation with Artificial Intelligence: A Systematic Review. Perspectives in Health Information Management, 21, 1d.
[21]
Annear, P.L., Kwon, S., Lorenzoni, L., Duckett, S., Huntington, D., Langenbrunner, J.C., et al. (2018) Pathways to DRG-Based Hospital Payment Systems in Japan, Korea, and Thailand. HealthPolicy, 122, 707-713. https://doi.org/10.1016/j.healthpol.2018.04.013
[22]
Feng, L., Tian, Y., He, M., Tang, J., Peng, Y., Dong, C., et al. (2020) Impact of Drgs-Based Inpatient Service Management on the Performance of Regional Inpatient Services in Shanghai, China: An Interrupted Time Series Study, 2013-2019. BMCHealthServicesResearch, 20, Article No. 942. https://doi.org/10.1186/s12913-020-05790-6
[23]
Topol, E.J. (2019) High-Performance Medicine: The Convergence of Human and Artificial Intelligence. NatureMedicine, 25, 44-56. https://doi.org/10.1038/s41591-018-0300-7
[24]
Hersh, W.R. and Wright, A. (2018) What Workforce Is Needed to Implement Artificial Intelligence in Health Care? Academic Medicine, 93, 111-115.
[25]
Or., Z. (2014) Implementation of DRG Payment in France: Issues and Recent Developments. HealthPolicy, 117, 146-150. https://doi.org/10.1016/j.healthpol.2014.05.006
[26]
Wang, J.W. (2023) Impact of Improving the Quality of Medical Coding on Comprehensive Evaluation of DRG Performance on the Home Page of Medical Records. HospitalAdministrationandMedicalPractices, 2, 1-5. https://doi.org/10.54844/hamp.2023.0041
[27]
Alowais, S.A., Alghamdi, S.S., Alsuhebany, N., Alqahtani, T., Alshaya, A.I., Almohareb, S.N., et al. (2023) Revolutionizing Healthcare: The Role of Artificial Intelligence in Clinical Practice. BMC Medical Education, 23, Article No. 689. https://doi.org/10.1186/s12909-023-04698-z
[28]
Islam, M.M., Li, G., Poly, T.N. and Li, Y. (2021) DeepDRG: Performance of Artificial Intelligence Model for Real-Time Prediction of Diagnosis-Related Groups. Healthcare, 9, Article 1632. https://doi.org/10.3390/healthcare9121632
[29]
Committee for Medicinal Product for Human Use (CHMP) Methodology Working Party (2024) Reflection Paper on the Use of Artificial Intelligence (AI) in the Medicinal Product Lifecycle. https://www.ema.europa.eu/en/documents/scientific-guideline/reflection-paper-use-artificial-intelligence-ai-medicinal-product-lifecycle_en.pdf
[30]
Gajadien, C.S., Dohmen, P.J.G., Eijkenaar, F., Schut, F.T., van Raaij, E.M. and Heijink, R. (2022) Financial Risk Allocation and Provider Incentives in Hospital-Insurer Contracts in the Netherlands. TheEuropeanJournalofHealthEconomics, 24, 125-138. https://doi.org/10.1007/s10198-022-01459-5
CPB (2020) Nieuwe manier van werken ziekenhuizen leidt tot doelmatiger zorg zonder kwaliteitsverlies. https://www.cpb.nl/evaluatie-programmas-beatrixziekenhuis-en-bernhoven
[33]
Coulter, A. and Ellins, J. (2007) Effectiveness of Strategies for Informing, Educating, and Involving Patients. BMJ, 335, 24-27. https://doi.org/10.1136/bmj.39246.581169.80
[34]
Doyle, C., Lennox, L. and Bell, D. (2013) A Systematic Review of Evidence on the Links between Patient Experience and Clinical Safety and Effectiveness. BMJOpen, 3, e001570. https://doi.org/10.1136/bmjopen-2012-001570
[35]
Steinbusch, P.J.M., Oostenbrink, J.B., Zuurbier, J.J. and Schaepkens, F.J.M. (2007) The Risk of Upcoding in Casemix Systems: A Comparative Study. HealthPolicy, 81, 289-299. https://doi.org/10.1016/j.healthpol.2006.06.002
[36]
Quentin, W., Rätto, H., Peltola, M. and Busse, R. (2011) DRGs and Quality: For Better or Worse? In: Busse, R., Geissler, A., Quentin, W. and Wiley, M., Eds., Diagnosis-Related Groups in Europe, Open University Press, 77-96.