Physician-patient Interaction Research Articles

The Role of Social Support and Patient Empowerment Through Online Health Communities in Enhancing Patient–Physician Relationship

Purpose: The goal of this project is to investigate how online health communities can improve patient-physician relationships by providing social support and patient empowerment.
 
 Theoretical framework: Nowadays, on online health forums, patients can connect with other patients and healthcare professionals and share knowledge and experiences. However, there is a dearth of research on how patient-physician relationships might be improved via online health communities. 
 
 Design/Methodology/Approach: In this analytical study, a sample of 61 individuals receiving treatment in Jordan's private hospitals were given a questionnaire via two of the most popular health communities' Facebook pages.
 
 Findings: The findings showed that while patient empowerment had no impact on the patient-physician connection, computer-mediated social support had an impact on that relationship. These findings support the need to suggest Jordanian online health community models that might strengthen this kind of engagement. 
 
 Research, Practical and Social Implications: Online health community providers need to be aware of the tactics they should use in these communities to strengthen the patient-physician relationship and integrate these efforts into patient treatment. Additionally, these communities can help medical practitioners ensure that patients receive the appropriate information and type of support.
 
 Originality/Value: As online health groups grew, so did the number of patients who relied on them for information and emotional support. Although the majority of studies focused on this type of support, little is known about how it affects the patient-physician interaction.

Psychological Factors Influencing Adherence to NIV in Neuromuscular Patients Dependent on Non Invasive Mechanical Ventilation: Preliminary Results.

Non-invasive ventilation (NIV) is associated with improvement of both morbility and mortality in patients affected by neuromuscular diseases with chronic respiratory failure. Several studies have also shown that long-term NIV positively impacts the patient's quality of life and perception of disease status. Its effectiveness is likely related to the adherence to NIV. Several factors, patient- and not patient-related, may compromise adherence to NIV, such as physical, behavioral, familiar, and social issues. Few data are currently available on the role of psychological factors in influencing NIV adherence. In this pilot study, we evaluated the adherence to NIV in a group of 15 adult patients with neuromuscular diseases (Duchenne muscular dystrophy, myotonic dystrophy, and amyotrophic lateral sclerosis) in relation to their grade of depression assessed by the Beck Depression Inventory (BDI) questionnaire. Other data were collected, such as clinical features (age and sex), use of anxiolytic drugs, the presence of a family or professional caregiver, the quality of patient-physician relationship, the beginning of psychological support after BDI screening, and the family acceptance of NIV. NIV adherence was definied as the use of NIV for at least 4 h per night on 70% of nights in a month. The overall rate of NIV adherence was 60%. Based on the BDI questionnaire, patients who were non-adherent to NIV had a higher rate of depression, mainly observed in the oldest patients. The acceptance of NIV by the family and positive physician-patient interaction seem to favor NIV adherence. Depression can interfere with NIV adherence in patients with neuromuscolar diseases.

Effects of blended learning training for oncology physicians to advise their patients about complementary and integrative therapies: results from the multicenter cluster-randomized KOKON-KTO trial

BackgroundMany oncology physicians are confronted with the topic of complementary and integrative medicine (CIM) by cancer patients. This study examined whether a blended learning (e-learning and a workshop) to train oncology physicians in providing advice on CIM therapies to their cancer patients, in addition to distributing an information leaflet about reputable CIM websites, had different effects on physician-reported outcomes in regard to consultations compared with only distributing the leaflet.MethodsIn a multicenter, cluster-randomized trial, 48 oncology physicians were randomly allocated to an intervention group (CIM consultation and an information leaflet) or a control group (information leaflet only). After the training, the oncology physicians conducted 297 consultations with their cancer patients. Measurements were assessed at oncology physician, physician–patient-interaction (measured by external reviewers), and patient levels. This analysis focused on the physician outcomes of stress reaction and perceived consultation skill competency. In addition, qualitative interviews were conducted with a subsample of oncology physicians who experienced both, the intervention and control condition.ResultsThe oncology physicians in the intervention group showed a lower stress reaction in all measured dimensions after CIM consultations than those in the control group. There was no significant difference between oncology physicians in the intervention and control groups regarding the perceived consultation skill competency (overburden: intervention 1.4 [95% CI: 0.7;2.1]; control 2.1 [95% CI: 1.4;2.7], tension: 1.3 [95% CI: 0.7;2.0] vs. 1.9 [95% CI: 1.3;2.5], and discomfort with consultation situations: 1.0 [95% CI: 0.4;1.7]; vs. 1.7 [95% CI: 1.2;2.3]). The qualitative data showed that only providing the leaflet seemed impersonal to oncology physicians, while the training made them feel well prepared to conduct a full conversation about CIM and provide the information leaflet.ConclusionsIn our exploratory study providing structured CIM consultations showed positive effects on the perceived stress of oncology physicians, and the training was subjectively experienced as an approach that improved physician preparation for advising cancer patients about CIM, however no effects regarding perceived consultation skill competency were found.Trial registrationThe trial registration number of the KOKON-KTO study is DRKS00012704 in the German Clinical Trials Register (Date of registration: 28.08.2017).

Occurrence of sensitive topics during ward round: an ancillary analysis of the BEDSIDE-OUTSIDE trial

ObjectiveDiscussing sensitive topics (eg, medical uncertainty, social issues, non-adherence) during ward rounds is challenging and may negatively impact patient satisfaction with the healthcare they are receiving. In the previous multicentre...

Patient-physician interactions in hereditary angioedema-Key learnings from the coronavirus disease 2019 pandemic.

The coronavirus disease pandemic and its containing measures have caused concerns for patients with hereditary angioedema (HAE) and their treating physicians. Both faced challenges surrounding interaction, and communication had to adapt to facilitate appropriate management. Specifically, the pandemic resulted in reduced in-person contact in clinics. Where possible, telemedicine appointments were offered and treatment outside the hospital setting was encouraged. BODY: The pandemic markedly affected patient-physician communication, which is essential to maintain partnerships and optimize care. Although patients with HAE are often experts in their condition, guidance by their physicians is essential, especially with the recent shift toward patient-centered management for rare diseases and shared decision-making (SDM). SDM enables patients to take control of their disease and allows the risks and benefits of treatment to be discussed with their physicians. This review explores perspectives from patients and physicians in the HAE clinical setting, particularly regarding their experiences with communication throughout the pandemic. We discuss the importance of SDM in rare diseases such as HAE, factors that impact effective communication, and potential solutions. Since patient-centered care and SDM have particular relevance in rare diseases in general, we believe our findings could be transferrable and applicable in the management of other rare diseases.

Doctor-patient interactions in the age of AI: navigating innovation and expertise.

The integration of artificial intelligence (AI) in healthcare has the capacity to transform medical practice. Despite its revolutionary potential, the influence of AI may affect the physician-patient interaction and presents ethical challenges that will need to be carefully considered. This article discusses how patients may interact with this technology, considers how emerging technologies may alter the dynamics of the physician-patient relationship, and reviews some of the limitations that continue to exist. We identify potential challenges that may arise with the integration of AI into medical settings and propose solutions to help mitigate these issues.

Online Physician-Patient Interaction and Patient Satisfaction: Empirical Study of the Internet Hospital Service.

In China, a form of online health service called the internet hospital became a prominent means of patient care when face-to-face visits were not possible during the COVID-19 pandemic to minimize transmission of the SARS-CoV-2 virus. Patients' internet hospital experiences largely depend on online physician-patient interaction. Yet, little is known about how physicians can improve patient satisfaction by using specific communication strategies online. This study aimed to identify specific communication strategies to help physicians deliver better quality internet hospital services. We also outline recommendations for hospitals to operate internet hospital platforms more effectively. A longitudinal data set was collected from an internet hospital platform operated by a top hospital in China. By extracting communication patterns from approximately 20,000 records of online health care services and by controlling the features of service requests, we tested the impacts of response load, more detailed style, and emotional comfort on patient satisfaction. We further explored the effects of these communication patterns in different service contexts. Physicians with a low response load, a more detailed style, and expressions of emotional comfort received more positive patient feedback. Response load did not affect patient satisfaction with free online health service, whereas a more detailed style and emotional comfort enhanced satisfaction with free service. Response load significantly reduced patient satisfaction with paid online health service, while a more detailed style had no effect. Compared with free service, emotional comfort more strongly promoted patient satisfaction with paid service. The communication strategies identified can help physicians provide patients with a better internet hospital experience. These strategies require hospitals to schedule each physician's online service period more appropriately. In addition, tailoring the strategies to service situations can facilitate more targeted and effective internet hospital service for patients.

Understanding Trust Determinants in a Live Chat Service on Familial Cancer: Qualitative Triangulation Study With Focus Groups and Interviews in Germany.

In dealing with familial cancer risk, seeking web-based health information can be a coping strategy for different stakeholder groups (ie, patients, relatives, and those suspecting an elevated familial cancer risk). In the vast digital landscape marked by a varied quality of web-based information and evolving technologies, trust emerges as a pivotal factor, guiding the process of health information seeking and interacting with digital health services. This trust formation in health information can be conceptualized as context dependent and multidimensional, involving 3 key dimensions: information seeker (trustor), information provider (trustee), and medium or platform (application). Owing to the rapid changes in the digital context, it is critical to understand how seekers form trust in new services, given the interplay among these different dimensions. An example of such a new service is a live chat operated by physicians for the general public with personalized cancer-related information and a focus on familial cancer risk. To gain a comprehensive picture of trust formation in a cancer-related live chat service, this study investigates the 3 dimensions of trust-trustor, trustee, and application-and their respective relevant characteristics based on a model of trust in web-based health information. In addition, the study aims to compare these characteristics across the 3 different stakeholder groups, with the goal to enhance the service's trustworthiness for each group. This qualitative study triangulated the different perspectives of medical cancer advisers, advisers from cancer support groups, and members of the public in interviews and focus group discussions to explore the 3 dimensions of trust-trustor, trustee, and application-and their determinants for a new live chat service for familial cancer risk to be implemented at the German Cancer Information Service. The results indicate that experience with familial cancer risk is the key trustor characteristic to using, and trusting information provided by, the live chat service. The live chat might also be particularly valuable for people from minority groups who have unmet needs from physician-patient interactions. Participants highlighted trustee characteristics such as ability, benevolence, integrity, and humanness (ie, not a chatbot) as pivotal in a trustworthy cancer live chat service. Application-related characteristics, including the reputation of the institution, user-centric design, modern technology, and visual appeal, were also deemed essential. Despite the different backgrounds and sociodemographics of the 3 stakeholder groups, many overlaps were found among the 3 trust dimensions and their respective characteristics. Trust in a live chat for cancer information is formed by different dimensions and characteristics of trust. This study underscores the importance of understanding trust formation in digital health services and suggests potential enhancements for effective, trustworthy interactions in live chat services (eg, by providing biographies of the human medical experts to differentiate them from artificial intelligence chatbots).

Medicinal Cannabis Use for Rheumatic Conditions in the US Versus Canada: Rationale for Use and Patient-Health Care Provider Interactions.

Understanding how medical cannabis (MC) use is integrated into medical practice for rheumatic disease management is essential. We characterized rationale for MC use, patient-physician interactions around MC, and MC use patterns among people with rheumatic conditions in the US and Canada. We surveyed 3406 participants with rheumatic conditions in the US and Canada, with 1727 completing the survey (50.7% response rate). We assessed disclosure of MC use to health care providers, MC authorization by health care providers, and MC use patterns and investigated factors associated with MC disclosure to health care providers in the US versus Canada. Overall, 54.9% of US respondents and 78.0% of Canadians reported past or current MC use, typically because of inadequate symptom relief from other medications. Compared to those in Canada, fewer US participants obtained MC licenses, disclosed MC use to their health care providers, or asked advice on how to use MC (all P values <0.001). Overall, 47.4% of Canadian versus 28.2% of US participants rated their medical professionals as their most trusted information source. MC legality in state of residence was associated with 2.49 greater odds of disclosing MC use to health care providers (95% confidence interval: 1.49-4.16, P < 0.001) in the US, whereas there were no factors associated with MC disclosure in Canada. Our study is limited by our convenience sampling strategy and cross-sectional design. Despite widespread availability, MC is poorly integrated into rheumatic disease care, with most patients self-directing use with minimal or no clinical oversight. Concerted efforts to integrate MC into education and clinical policy is critical.

How Does the Design of Consultation Pages Affect Patients' Perception of Physician Authority and Willingness to Seek Offline Treatment: A Randomized Controlled Trial.

This study aimed to assess the impact of the color and font size of a dialogue box on an online physician-patient interaction page on patients' perceptions of the physician's authority and their willingness to schedule an offline appointment. A 2 × 2 between-group experiment was conducted to compare the effects of two dialogue box colors (gold vs. grey) and two font sizes (large vs. regular) on patients' perceptions. The results showed that a larger font size had a significant positive impact on patients' perceptions of the physician's authority, and the use of a gold-colored dialogue box also had a significant positive effect. A significant interaction was found between the dialogue box color and font size and patients' perceptions of the physician's authority. In addition, it was found that positive perceptions of the physician's authority significantly affected patients' willingness to schedule offline appointments and played a fully mediating role in the path of page design affecting offline appointment intentions. This study provides evidence that the design elements of a dialogue box-particularly, its color and font size-can influence patients' perceptions of a physician's authority and their willingness to schedule an offline appointment. These findings suggest that modifying the page design could improve the effectiveness of physician-patient communication.

Representations of Physician-Patient Communication in Chilean Health Journals

Clear patient-physician communication is considered a critical ability to improve diagnosis, treatment, and patient satisfaction. Nonetheless, this skill is not regularly addressed in Health Communication Journals, to consider it a relevant topic. The present article aims to explore to what extent health and communication-related topics are covered within Health journals indexed in the SciELO database. Furthermore, this research focuses on the patient-physician communication models recurrently reported in Scielo health articles. Results revealed a poor coverageofcommunicationasaresourcefultopicinHealth-relatedJournalsandthe prevalence of the interactional approach as the main model to address the patient-physician interaction.

Population-wide analysis of hospital laboratory tests to assess seasonal variation and temporal reference interval modification

We identified mortality-, age-, and sex-associated differences in relation to reference intervals (RIs) for laboratory tests in population-wide data from nearly 2 million hospital patients in Denmark and comprising more than 300 million measurements. A low-parameter mathematical wave-based modification method was developed to adjust for dietary and environment influences during the year. The resulting mathematical fit allowed for improved association rates between re-classified abnormal laboratory tests, patient diagnoses, and mortality. The study highlights the need for seasonally modified RIs and presents an approach that has the potential to reduce over- and underdiagnosis, affecting both physician-patient interactions and electronic health record research as a whole.

Evaluating the Impact of a Training Program in Shared Decision-Making for Neurologists Treating People with Migraine.

Migraine symptoms vary significantly between patients and within the same patient. Currently, an increasing number of therapeutic options are available for symptomatic and preventive treatment. Guidelines encourage physicians to use shared decision-making (SDM) in their practice, listening to patients' treatment preferences in order to select the most suitable and effective therapy. Although training for healthcare professionals could increase their awareness of SDM, results concerning its effectiveness are inconclusive. This study aimed to analyze the impact of a training activity to promote SDM in the context of migraine care. This was addressed by evaluating the impact on patients' decisional conflict (main objective), patient-physician relationship, neurologists' perceptions of the training and patient's perception of SDM. A multicenter observational study was conducted in four highly specialized headache units. The participating neurologists received SDM training targeting people with migraine in clinical practice to provide techniques and tools to optimize physician-patient interactions and encourage patient involvement in SDM. The study was set up in three consecutive phases: control phase, in which neurologists were blind to the training activity and performed the consultation with the control group under routine clinical practice; training phase, when the same neurologists participated in the SDM training; and SDM phase, in which these neurologists performed the consultation with the intervention group after the training. Patients in both groups with a change of treatment assessment during the visit completed the Decisional conflict scale (DCS) after the consultation to measure the patient's decisional conflict. Also, patients answered the patient-doctor relationship questionnaire (CREM-P) and the 9-item Shared Decision-Making Questionnaire (SDM-Q-9). The mean ± SD scores obtained from the study questionnaires were calculated for both groups and compared to determine whether there were significant differences (p < 0.05). A total of 180 migraine patients (86.7% female, mean age of 38.5 ± 12.3years) were included, of which 128 required a migraine treatment change assessment during the consultation (control group, n = 68; intervention group, n = 60). A low decisional conflict was found without significant differences between the intervention (25.6 ± 23.4) and control group (22.1 ± 17.9; p = 0.5597). No significant differences in the CREM-P and SDM-Q-9 scores were observed between groups. Physicians were satisfied with the training and showed greater agreement with the clarity, quality and selection of the contents. Moreover, physicians felt confident communicating with patients after the training, and they applied the techniques and SDM strategies learned. SDM is a model currently being actively used in clinical practice for headache consultation, with high patient involvement in the process. This SDM training, while useful from the physician's perspective, may be more effective at other levels of care where there is still room for optimization of patient involvement in decision-making.

Impact of a web-based decision aid on socioeconomically disadvantaged patients’ engagement in decision making (Alliance A231701CD).

6520 Background: Increased patient engagement in decision making may mitigate disparities in breast cancer surgical care. Socioeconomically disadvantaged patients disproportionately experience barriers to engagement. Decision aids (DA) increase engagement by providing information, establishing role expectations during the consult, and increasing confidence in surgeon interactions. The objective was to test the effectiveness of a surgical web-based DA in increasing engagement among breast cancer patients in clinics that care for a high proportion of socioeconomically disadvantaged patients. Methods: A stepped wedge trial was conducted with 10 NCI Community Oncology Research Program clinics (Alliance for Clinical Trials in Oncology Research Base, 6/19-12/21). Clinics were randomized to time of transition from usual care (UC) to delivery of a web-based DA. Patients with stage 0-3 breast cancer eligible for surgery provided consent prior to a surgical consult. Socioeconomic disadvantage was assessed with the Area Deprivation Index measured at the zip+4 level and dichotomized. Patient engagement was measured by Patient’s Self-Efficacy in Patient-Physician Interactions (PEPPI-5, follow-up survey) and count of Active Patient Behaviors (Street protocol, audio recorded consult). Intervention effects were tested with linear mixed-effects models, accounting for surgeon and clinic-level clustering, time, and enrollment post-COVID. Heterogeneity of treatment effect by socioeconomic disadvantage was assessed with an interaction term. Results: 573 patients enrolled. 44% (136/309) reviewed the DA. No significant difference in engagement was observed comparing DA and UC for PEPPI-5 (-0.80 [95% CI -2.13, 0.54], p = 0.24) or Active Patient Behaviors (2.52 [CI -4.11, 9.15], p = 0.46). Enrollment post-COVID was associated with increased Active Patient Behaviors (9.59 [CI 1.76, 17.43], p = 0.02) but no change in PEPPI-5 (-1.31 [CI -2.88, 0.26], p = 0.10). No heterogeneity of treatment effect was observed. Conclusions: In this trial conducted in clinics that serve diverse populations, no significant relationship was observed between a web-based DA and patient engagement. Conducting this stepped wedge trial during the pandemic was challenging. Future analyses will explore the impact of COVID on outcomes and effect of the decision aid for patients who reviewed it. UG1 CA189823; AHRQ R01HS025194; https://acknowledgments.alliancefound.org . Clinical trial information: NCT03766009 . [Table: see text]

Definitely, Maybe: Helping Patients Make Decisions about Surgery When Prognosis Is Uncertain.

AbstractThe sudden onset of severe traumatic brain injury (sTBI) is an event suffered by millions of individuals each year. Regardless of this frequency in occurrence, accurate prognostication remains difficult to achieve among physicians. There are many variables that affect this prognosis. Physicians are expected to assess the clinical indications of the brain injury while considering other factors such as patient quality of life, patient preferences, and environmental context. However, this lack of certainty in prognosis can ultimately affect treatment recommendations and prompt clinical ethical issues at the bedside, as it leaves room for physician bias and interpretation. In this article, we introduce data on neurosurgeon values that may shed light on the process physicians and patients involved in sTBI undergo. In doing so, we highlight the many nuances in decision-making for patients suffering from sTBI and discuss potential solutions to better patient-physician or surrogate-physician interactions.

How does a digitalized physician-patient interaction affect psychobiological stress levels?

How does a digitalized physician-patient interaction affect psychobiological stress levels?

RENAL2: Wired Room: Digital Sound, Image and Motion Analysis for Enhanced Medical Diagnostics from A Patient Encounter

Background: In-person health care encounters are critical for obtaining patient data needed for accurate diagnosis. However, in recent years with increasing patient-to-doctor ratios, physicians are spending less time face-to-face with their patients, often restrained by requirements of electronic health care record (EHR) entry. We developed a system to supplement in-person health care encounters with both real time audio/visual data capture and analysis, thus streamlining patient-physician interactions, as well as allowing for aggregation of data that may otherwise be lost. Method: A machine-vision-based motion tracking program - Google MediaPipe was utilized for the motion subsystem. Time invariant cross correlation was used to compare MediaPipe’s ability to measure joint angle and angular acceleration to an established system MOCA 2.0 - previously advanced by our group as a smartphone-based motion tracker. A Python-based sound analysis program was developed and utilized to process audio data into signal components for statistical analysis. Regression analysis of signal components was run to identify audio samples with speech and cough from those without. Two trials with six subjects were conducted with subject performing a range of movements: speaking and generating a cough. Results: Initial motion tracking analysis across 2 trials with 6 subjects showed a 98.3% (±0.5) correlation between joint angle measurements between MediaPipe and MOCA 2.0. The reliability of acceleration measurements was less robust. Sound analysis, using amplitude range, identified speech and cough with 94.5% accuracy. Conclusion: A patient encounter room, wired and equipped with motion and sound detection systems was designed. The system demonstrated ability to capture and process a range of data otherwise lost with conventional health provider encounters. Further development of the system is focus on enhanced signal processing to isolate patient from ambient noise, and to allow on-boarding of a catalog of correlation between digital signatures and physiological conditions, to generate and refine digital biomarkers. New digital biomarkers many not only augment the in-person diagnostic process, but may provide a useful foundation for significant advances in telemedicine and remote patient monitoring.

Lay Perspectives on Empathy in Patient-Physician Communication: An Online Experimental Study

ABSTRACT Research indicates that patients consider empathy as a key factor contributing to the quality-of-care. However, ambiguities in the definition of this multidimensional construct complicate definite conclusions to-date. Addressing the challenges in the literature, and using a hypothetical physician-patient interaction which explored patient-perceived differences between expressions of affective empathy, cognitive empathy, compassion and no empathy, this study aimed to test whether lay participants’ evaluations of the quality-of-care depend on the type of empathic physician behavior, and on the physician’s gender. We conducted a randomized web-based experiment using a 4 (type of empathy) by 2 (physician gender) between-subjects design. Empathy was subdivided into three concepts: first, affective empathy (i.e. feeling with someone); second, cognitive empathy (i.e. understanding); and third, compassion (i.e. feeling for someone and offering support). Perceived quality-of-care was the primary outcome. Compared with non-empathic interactions, quality-of-care was rated higher when physicians reacted cognitively empathic or compassionate (d = 0.71; 0.43 to 1.00 and d = 0.68; 0.38 to 0.98). No significant difference was found between affective empathy and no empathy (d = 0.13; −0.14 to 0.42). The physician’s gender was not related with quality-of-care. Aspects of participants’ personality but not their age, gender or the number of physician visits were associated with quality-of-care. No interactions were observed. In showing that patients rated quality-of-care higher when physician reactions were described as cognitively empathic and compassionate, as compared with affectively empathic or non-empathic, our findings refine views about the kinds of empathy that are important in patient care with implications for clinical practice, education and communication trainings.

Physicians' Online Writing Language Style and Patient Satisfaction: The Mediator of Depth of Physician-Patient Interactions.

Online health counseling (OHC) is increasingly important in modern healthcare. This development has attracted considerable attention from researchers. However, the reality of the lack of physician-patient communication and dissatisfaction with online health services remains prevalent, and more research is needed to raise awareness about important issues related to OHC services, especially in terms of patient satisfaction and depth of interaction (i.e., the product of the number of interactions and the relevance of the content). This study constructs an empirical model to explore the relationship between physicians' online writing language style (inclusive language and emojis), depth of physician-patient interactions, and patient satisfaction. The study obtained 5064 online health counseling records from 337 pediatricians and analyzed them using text mining and empirical methods. The results showed that physicians' inclusive language (β = 0.3198, p < 0.05) and emojis (β = 0.6059, p < 0.01) had a positive impact on patient satisfaction. In addition, the depth of the physician-patient interaction partially mediated this effect. This study promotes a better understanding of the mechanisms of physician-patient interactions in online settings and has important implications for how online physicians and platforms can better provide online healthcare services.

Online Clinical Decision Support Software Reduces Time to Diagnosis of Fertility Disorders to 8 Weeks on Average [ID: 1380156

INTRODUCTION: Time to diagnosis of fertility disorders is reported to take up to 11 years and involves five to six physicians on average. Prolonged time to diagnosis is not just an immense burden on the health care system, but also means that in vitro fertilization (IVF) becomes necessary for couples who would have been able to conceive naturally had they been diagnosed sooner, often leaving these couples childless. This observational study evaluated how a clinical decision support software based on American Society for Reproductive Medicine, American College of Obstetricians and Gynecologists, and European Society of Human Reproduction and Embryology guidelines used by patients and obstetrician–gynecologists together can reduce the time to diagnosis of up to 65 conditions affecting female fertility. METHODS: One hundred eighty women aged 20–45 who had been trying to conceive for an average of 11 months were recruited to participate. Women completed a reproductive health assessment with a dynamic online questionnaire. The output of the assessment was a lab requisition with an individualized selection of female and male sex hormones, thyroid hormones, markers for glucose metabolism, vitamin deficiencies, complete blood count, as well as markers for immunology, genetics, and thrombophilia. The clinical decision support software combined the results from the online reproductive health assessment with the lab results to render recommendations for diagnosis, further diagnostics, and treatment. RESULTS: An average of four previously unknown health conditions affecting fertility were diagnosed with an average time of 8 weeks to diagnosis (range, 5–16). Diagnoses included polycystic ovarian syndrome, various forms of amenorrhea, premature ovarian insufficiency, vitamin and iron deficiency, hyperthyroidism and hypothyroidism, insulin sensitivity, and prolactinoma. CONCLUSION: An online clinical decision support tool can significantly reduce time to diagnosis of conditions affecting female fertility. It also reduces the number of patient–physician interactions and the time physicians spend on medical history and necessary patient education.