Experience with telepathology in combination with diagnostic assistance systems in countries with restricted resources

TelePi: an affordable telepathology microscope camera system anyone can build and use

Telepathology facilitates histological diagnoses through sharing expertise between pathologists. However, the associated costs are high and frequently prohibitive, especially in low-resource settings, where telepathology would paradoxically be of paramount importance due to a paucity of pathologists.We have constructed a telepathology system (TelePi) with a budget of < €120 using the small, single-board computer Raspberry Pi Zero and its High-Quality Camera Module in conjunction with a standard microscope and open-source software. The system requires no maintenance costs or service contracts, has a small footprint, can be moved and shared across several microscopes, and is independent from other computer operating systems. TelePi uses a responsive and high-resolution web-based live stream which allows remote consultation between two or more locations. TelePi can serve as a telepathology system for remote diagnostics of frozen sections. Additionally, it can be used as a standard microscope camera for teaching of medical students and for basic research. The quality of the TelePi system compared favorable to a commercially available telepathology system that exceed its cost by more than 125-fold. Additionally, still images are of publication quality equal to that of a whole slide scanner that costs 800 times more.In summary, TelePi is an affordable, versatile, and inexpensive camera system that potentially enables telepathology in low-resource settings without sacrificing image quality.

Telemedicine interventions in six conflict-affected countries in the WHO Eastern Mediterranean region: a systematic review

BACKGROUND

The COVID-19 pandemic has escalated the use of telemedicine in both high and low resource settings however its use has preceded this, particularly in conflict-affected settings. Several countries in the WHO Eastern Mediterranean (EMR) region are affected by complex, protracted crises. Though telemedicine has been used in such settings, there has been no comprehensive assessment of what interventions are used, their efficacy, barriers, or current research gaps.

MAIN BODY

A systematic search of ten academic databases and 3 grey literature sources from January 1st 2000 to December 31st 2020 was completed, identifying telemedicine interventions in select EMR conflict-affected settings and relevant enablers and barriers to their implementation. Included articles reported on telemedicine use in six conflict-affected EMR countries (or territories) graded as WHO Health Emergencies: Afghanistan, Gaza, Iraq, Libya, Syria and Yemen. Data were extracted and narratively synthesised due to heterogeneity in study design and outcomes. Of 3419 articles identified, twenty-one peer-reviewed and three grey literature sources met the inclusion criteria. We analysed these by context, intervention, and evaluation.

CONTEXT

eight related to Afghanistan, eight to Syria and seven to Iraq with one each in Yemen and Gaza. Most were implemented by humanitarian or academic organisations with projects mostly initiated in the United States or Europe and mostly by physicians. The in-country links were mostly health professionals rather than patients seeking specialist inputs for specialities not locally available.

INTERVENTIONS

these included both SAF (store and forward) and RT (real-time) with a range of specialities represented including radiology, histopathology, dermatology, mental health, and intensive care.

EVALUATION

most papers were observational or descriptive with few describing quality measures of interventions.

CONCLUSIONS

Telemedicine interventions are feasible in conflict-affected settings in EMR using low-cost, accessible technologies. However, few implemented interventions reported on evaluation strategies or had these built in. The ad hoc nature of some of the interventions, which relied on volunteers without sustained financial or academic investment, could pose challenges to quality and sustainability. There was little exploration of confidentiality, ethical standards, data storage or local healthcare worker and patient acceptability.

Evaluation of medical decision support systems (DDX generators) using real medical cases of varying complexity and origin

Background

Medical decision support systems (CDSSs) are increasingly used in medicine, but their utility in daily medical practice is difficult to evaluate. One variant of CDSS is a generator of differential diagnoses (DDx generator). We performed a feasibility study on three different, publicly available data sets of medical cases in order to identify the frequency in which two different DDx generators provide helpful information (either by providing a list of differential diagnosis or recognizing the expert diagnosis if available) for a given case report.

Methods

Used data sets were n = 105 cases from a web-based forum of telemedicine with real life cases from Afghanistan (Afghan data set; AD), n = 124 cases discussed in a web-based medical forum (Coliquio data set; CD). Both websites are restricted for medical professionals only. The third data set consisted 50 special case reports published in the New England Journal of Medicine (NEJM). After keyword extraction, data were entered into two different DDx generators (IsabelHealth (IH), Memem7 (M7)) to examine differences in target diagnosis recognition and physician-rated usefulness between DDx generators.

Results

Both DDx generators detected the target diagnosis equally successfully (all cases: M7, 83/170 (49%); IH 90/170 (53%), NEJM: M7, 28/50 (56%); IH, 34/50 (68%); differences n.s.). Differences occurred in AD, where detection of an expert diagnosis was less successful with IH than with M7 (29.7% vs. 54.1%, p = 0.003). In contrast, in CD IH performed significantly better than M7 (73.9% vs. 32.6%, p = 0.021). Congruent identification of target diagnosis occurred in only 46/170 (27.1%) of cases. However, a qualitative analysis of the DDx results revealed useful complements from using the two systems in parallel.

Conclusion

Both DDx systems IsabelHealth and Memem7 provided substantial help in finding a helpful list of differential diagnoses or identifying the target diagnosis either in standard cases or complicated and rare cases. Our pilot study highlights the need for different levels of complexity and types of real-world medical test cases, as there are significant differences between DDx generators away from traditional case reports. Combining different results from DDx generators seems to be a possible approach for future review and use of the systems.

[Experiences with telepathology in northern Afghanistan : A 10-year success story]

Afghanistan is in a military conflict lasting more than 20 years and according to recent political development, in a downhill spiral towards a failed society. This scenario faces the question of the usefulness of international medical aid, especially morphological diagnostics in crisis situations. On the basis of ten years of experience from a telemedicine project, need, feasibility and results in Afghanistan will be discussed. General and country-specific problems and the sustainability of an international partnership are discussed. In summary our experience is: (1) Telemedicine is possible and necessary even in countries with high conflict potential. It is integrated into routine care by local medical care taker, (2) Accompanying video conferences are a significant improvement in telemedical diagnostics, (3) "High level" consultations can bridge the gap between sophisticated western diagnostics and medicine in the partner country in selected cases and (4) Scientific work is possible on the basis of the medical data collected on site and the image material generated.

The Importance of Clinical Data for the Diagnosis of Breast Tumours in North Afghanistan

Background

This study was performed in knowledge of the increasing gap between breast disease treatment in countries with restricted resources and developed countries with increasingly sophisticated examination methods.

Methods

The authors present the analysis of a breast disease register consisting of diagnostic cases from Mazar e Sharif and Herat in 2018 and 2019. The study comprises a total of 567 cases, which were presented to experts via telemedicine for final diagnosis. 62 cases (10.9%) were excluded due to inacceptable data or insufficient image quality. These data provided by daily diagnostic classification were used for the built-up of a profile for each frequent breast disease and a breast cancer register. All images and cases were seen by at least 3 independent experts. The diagnoses were made in 60% of cases by cytology of fine needle aspiration and in 40% by histological images.

Results

For each entity of breast diseases (e.g., fibroadenoma), a profile of context variables was constructed allowing to assist medical decisions, as “wait and see,” elective surgery or immediate surgical intervention with R0 (complete) resection. These “profiles” could be described for fibroadenoma, mastitis, galactocele, fibrous-cystic disease, and invasive breast cancer.

Conclusions

The presented preliminary data set could serve as a cost-effective basis for a North Afghan breast cancer registry, with option to extent to a national model. These preliminary data are transformed in profiles of breast diseases, which are used by the local physicians in charge of breast disease patients. Each new case can be compared by the local treating physician with the profile of all preceded cases with the same diagnosis.

eHealth for service delivery in conflict: a narrative review of the application of eHealth technologies in contemporary conflict settings

The role of eHealth in conflict settings is increasingly important to address geographic, epidemiologic and clinical disparities. This study categorizes various forms of eHealth usage in conflict and aims to identify gaps in evidence to make recommendations for further research and practice. The analysis was carried out via a narrative hermeneutic review methodology. Articles that fulfilled the following screening criteria were reviewed: (1) describing an eHealth intervention in active conflict or ongoing insurgency, (2) an eHealth intervention targeting a conflict-affected population, (3) an e-learning platform for delivery in conflict settings and (4) non-interventional descriptive reviews relating to eHealth in conflict. Of the 489 papers eligible for screening, 46 merited final inclusion. Conflict settings described include Somalia, Sudan, Afghanistan, Syria, Iraq, Pakistan, Chechnya, Gaza and the Democratic Republic of Congo. Thirty-six studies described specific eHealth initiatives, while the remainder were more generic review papers exploring general principles. Analysis resulted in the elucidation of three final categories of current eHealth activity in conflict-affected settings: (1) eHealth for clinical management, (2) e-learning for healthcare in conflict and (3) eHealth for information management in conflict. Obvious disparities in the distribution of technological dividends from eHealth in conflict are demonstrated by this review. Conflict-affected populations are predominantly subject to ad hoc and voluntary initiatives delivered by diaspora and civil society organizations. While the deployment of eHealth technologies in conflict settings is increasingly normalized, there is a need for further clarification of global norms relating to practice in this context.