Notice bibliographique
Résumé
FigureThe Himalayan Health Exchange (HHE) is an organization that assembles volunteers and health care providers from all over the world to deliver care in underserved areas in northern India. I had the amazing opportunity in my second year of residency to spend a month delivering medical care with HHE in the beautiful inner Himalayan mountains. The month was full of exploring, trekking, camping, learning, doctoring, and personal and professional growth. The clinics were scattered throughout different areas in the state of Himachal Pradesh. Our convoy of interpreters, cooks, volunteers, and health care professionals made camp in remote villages or in the mountains near small towns. Clinics were generally held in the areas close to our campsite. HHE visits these sites several times a year, so the local residents are familiar with their group and there is a small degree of continuity. Patients came from all over to see the physicians at our clinics. One patient, who was in the second trimester of pregnancy, walked more than 18 kilometers through the mountainous terrain to see a doctor. We also held clinics at schools and orphanages. After clinic, we had educational sessions about hygiene and dental care. Luckily for our patients, physicians and government hospitals will see them for free or at reduced rates. Access to health care, however, can be quite far geographically, and may require a one- or two-day trip. Most people cannot afford the transportation fare or missing several days of farming or work to see a physician, unless it is very serious. Most patients had benign complaints such as poor vision, arthritis, or gastritis. These people were so thankful when we provided them with simple remedies such as reading glasses, ibuprofen, or Zantac. It was refreshing to see how grateful they were for medications that we have readily available in the United States and take for granted. The simplicity of medicine in India was sometimes invigorating, but I found myself yearning for modern technology several times. I had a teenager with mastoiditis who could not go to a hospital for several weeks, so I placed him on an oral third-generation cephalosporin. I still agonize over that case, and wish I'd done a CT scan to determine if the patient needed surgical debridement or if antibiotics were sufficient to treat his condition. Another patient presented with a benign complaint, but had a pulsatile abdominal mass on exam. I wanted to perform a bedside ultrasound so badly to confirm my suspicion of an abdominal aortic aneurysm, but that was impossible. We stressed the importance of going to a hospital for evaluation of this potential ticking time bomb, but I don't know if she was able to make it. Besides treating Indian and Himalayan patients, our trip also provided care to Tibetan refugees. Many Tibetan refugees followed the Dalai Lama to northern India when he was exiled. Because of this, a large Tibetan and Buddhist population mixed with the traditional Indian Hindu population in Himachal Pradesh. This made for a very interesting and varied cultural experience. We held clinics at Buddhist nunneries, monasteries, and schools where Tibetan children study while preserving their language and culture. Our group consisted of undergraduate students, medical students, residents, and attending physicians from all over the world. We had people from the United States, England, Australia, Italy, Canada, and India. It was so interesting to learn the way medical education and health care work in each of these diverse countries. We would often sit around the campfire and talk about our respective cultures. I learned a lot about these different cultures' philosophies, food, language, and so much more. This trip was truly once in a lifetime. Looking back on my residency, I will always remember my month-long journey trekking through the Himalayas and providing care to such wonderful patients. I am blessed that the Himalayan Health Exchange and my residency program allowed me to have such a gratifying and life-changing experience.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,008 | 0,006 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,748 | 0,654 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».