Human-centered design of a health recommender system for orthopaedic shoulder treatment
Abstract Background Rich data on diverse patients and their treatments and outcomes within Electronic Health Record (EHR) systems can be used to generate real world evidence. A health recommender system (HRS) framework can be applied to a decision support system application to generate data summarie...
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| Format: | Article |
| Language: | English |
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BMC
2025-01-01
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| Series: | BMC Medical Informatics and Decision Making |
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| Online Access: | https://doi.org/10.1186/s12911-025-02850-x |
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| author | Akanksha Singh Benjamin Schooley John Mobley Patrick Mobley Sydney Lindros John M. Brooks Sarah B. Floyd |
| author_facet | Akanksha Singh Benjamin Schooley John Mobley Patrick Mobley Sydney Lindros John M. Brooks Sarah B. Floyd |
| author_sort | Akanksha Singh |
| collection | DOAJ |
| description | Abstract Background Rich data on diverse patients and their treatments and outcomes within Electronic Health Record (EHR) systems can be used to generate real world evidence. A health recommender system (HRS) framework can be applied to a decision support system application to generate data summaries for similar patients during the clinical encounter to assist physicians and patients in making evidence-based shared treatment decisions. Objective A human-centered design (HCD) process was used to develop a HRS for treatment decision support in orthopaedic medicine, the Informatics Consult for Individualized Treatment (I-C-IT). We also evaluate the usability and utility of the system from the physician’s perspective, focusing on elements of utility and shared decision-making in orthopaedic medicine. Methods The HCD process for I-C-IT included 6 steps across three phases of analysis, design, and evaluation. A team of health informatics and comparative effectiveness researchers directly engaged with orthopaedic surgeon subject matter experts in a collaborative I-C-IT prototype design process. Ten orthopaedic surgeons participated in a mixed methods evaluation of the I-C-IT prototype that was produced. Results The HCD process resulted in a prototype system, I-C-IT, with 14 data visualization elements and a set of design principles crucial for HRS for decision support. The overall standard system usability scale (SUS) score for the I-C-IT Webapp prototype was 88.75 indicating high usability. In addition, utility questions addressing shared decision-making found that 90% of orthopaedic surgeon respondents either strongly agreed or agreed that I-C-IT would help them make data informed decisions with their patients. Conclusion The HCD process produced an HRS prototype that is capable of supporting orthopaedic surgeons and patients in their information needs during clinical encounters. Future research should focus on refining I-C-IT by incorporating patient feedback in future iterative cycles of system design and evaluation. |
| format | Article |
| id | doaj-art-643430b6cb5e4cf8a5931f137237a962 |
| institution | Kabale University |
| issn | 1472-6947 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj-art-643430b6cb5e4cf8a5931f137237a9622025-01-12T12:26:20ZengBMCBMC Medical Informatics and Decision Making1472-69472025-01-0125111210.1186/s12911-025-02850-xHuman-centered design of a health recommender system for orthopaedic shoulder treatmentAkanksha Singh0Benjamin Schooley1John Mobley2Patrick Mobley3Sydney Lindros4John M. Brooks5Sarah B. Floyd6Department of Health Services Administration, School of Health Professions, University of Alabama at BirminghamDepartment of Electrical and Computer Engineering, Ira A. Fulton College of Engineering, Brigham Young UniversityUniversity of South Carolina School of Medicine GreenvilleDepartment of Exercise Science, University of South Carolina, Arnold School of Public HealthDepartment of Public Health Sciences, Clemson UniversityDepartment of Health Services Policy and Management, University of South Carolina, Arnold School of Public HealthDepartment of Public Health Sciences, Clemson UniversityAbstract Background Rich data on diverse patients and their treatments and outcomes within Electronic Health Record (EHR) systems can be used to generate real world evidence. A health recommender system (HRS) framework can be applied to a decision support system application to generate data summaries for similar patients during the clinical encounter to assist physicians and patients in making evidence-based shared treatment decisions. Objective A human-centered design (HCD) process was used to develop a HRS for treatment decision support in orthopaedic medicine, the Informatics Consult for Individualized Treatment (I-C-IT). We also evaluate the usability and utility of the system from the physician’s perspective, focusing on elements of utility and shared decision-making in orthopaedic medicine. Methods The HCD process for I-C-IT included 6 steps across three phases of analysis, design, and evaluation. A team of health informatics and comparative effectiveness researchers directly engaged with orthopaedic surgeon subject matter experts in a collaborative I-C-IT prototype design process. Ten orthopaedic surgeons participated in a mixed methods evaluation of the I-C-IT prototype that was produced. Results The HCD process resulted in a prototype system, I-C-IT, with 14 data visualization elements and a set of design principles crucial for HRS for decision support. The overall standard system usability scale (SUS) score for the I-C-IT Webapp prototype was 88.75 indicating high usability. In addition, utility questions addressing shared decision-making found that 90% of orthopaedic surgeon respondents either strongly agreed or agreed that I-C-IT would help them make data informed decisions with their patients. Conclusion The HCD process produced an HRS prototype that is capable of supporting orthopaedic surgeons and patients in their information needs during clinical encounters. Future research should focus on refining I-C-IT by incorporating patient feedback in future iterative cycles of system design and evaluation.https://doi.org/10.1186/s12911-025-02850-xHuman-centered designHealth recommender systemHuman factorsOrthopaedic treatmentPersonalized medicineClinical decision support |
| spellingShingle | Akanksha Singh Benjamin Schooley John Mobley Patrick Mobley Sydney Lindros John M. Brooks Sarah B. Floyd Human-centered design of a health recommender system for orthopaedic shoulder treatment BMC Medical Informatics and Decision Making Human-centered design Health recommender system Human factors Orthopaedic treatment Personalized medicine Clinical decision support |
| title | Human-centered design of a health recommender system for orthopaedic shoulder treatment |
| title_full | Human-centered design of a health recommender system for orthopaedic shoulder treatment |
| title_fullStr | Human-centered design of a health recommender system for orthopaedic shoulder treatment |
| title_full_unstemmed | Human-centered design of a health recommender system for orthopaedic shoulder treatment |
| title_short | Human-centered design of a health recommender system for orthopaedic shoulder treatment |
| title_sort | human centered design of a health recommender system for orthopaedic shoulder treatment |
| topic | Human-centered design Health recommender system Human factors Orthopaedic treatment Personalized medicine Clinical decision support |
| url | https://doi.org/10.1186/s12911-025-02850-x |
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